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Andras Telcs

Personal Details

First Name:Andras
Middle Name:
Last Name:Telcs
Suffix:
RePEc Short-ID:pte297
[This author has chosen not to make the email address public]
http://www.cs.bme.hu/~telcs/

Affiliation

(50%) Gazdaság- és Társadalomtudományi Kar
Budapesti Műszaki és Gazdaságtudományi Egyetem

Budapest, Hungary
http://www.gtk.bme.hu/
RePEc:edi:gtbmehu (more details at EDIRC)

(50%) Gazdaságtudományi Kar
Pannon Egyetem

Veszprém, Hungary
http://www.gtk.uni-pannon.hu/
RePEc:edi:ktveihu (more details at EDIRC)

Research output

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Articles

  1. Zsolt Tibor Kosztyán & Vivien Valéria Csányi & András Telcs, 2020. "Scores and Clusters of Hungarian Universities," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 70(2), pages 229-249, June.
  2. Zs. T. Kosztyán & É. Orbán-Mihálykó & Cs. Mihálykó & V. V. Csányi & A. Telcs, 2020. "Analyzing and clustering students' application preferences in higher education," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(16), pages 2961-2983, December.
  3. Telcs, András & Kosztyán, Zsolt Tibor & Banász, Zsuzsanna & Csányi, Vivien Valéria, 2019. "Felsőoktatási ligák, parciális rangsorok képzése biklaszterezési eljárásokkal [How to rate higher education systems partial rankings using bi-clustering methods]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 905-931.
  4. András Telcs & Zsolt Tibor Kosztyán & Ádám Török, 2016. "Unbiased one-dimensional university ranking -- application-based preference ordering," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 212-228, January.
  5. András Schubert & András Telcs, 2014. "A note on the Jaccardized Czekanowski similarity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1397-1399, February.
  6. Telcs, András & Vespri, Vincenzo, 2014. "Resolvent metric and the heat kernel estimate for random walks," Stochastic Processes and their Applications, Elsevier, vol. 124(12), pages 3965-3985.
  7. Telcs, András & Csernai, Márton & Gulyás, András, 2013. "Load balanced diffusive capture process on homophilic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(3), pages 510-519.
  8. Török, Ádám & Telcs, András & Kosztyán, Zsolt Tibor, 2013. "Hallgatói preferencia-sorrendek készítése az egyetemi jelentkezések alapján [Preparing student preference rankings based on applications for university]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 290-317.
  9. Krisztina Barcza & András Telcs, 2009. "Paretian publication patterns imply Paretian Hirsch index," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 513-519, November.
  10. Korn, A. & Schubert, A. & Telcs, A., 2009. "Lobby index in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2221-2226.
  11. András Schubert & András Korn & András Telcs, 2009. "Hirsch-type indices for characterizing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 375-382, February.
  12. Telcs, András, 2007. "Lower bounds for transition probabilities on graphs," Stochastic Processes and their Applications, Elsevier, vol. 117(8), pages 1121-1136, August.
  13. Borsi, Balázs & Telcs, András, 2004. "A K+F-tevékenység nemzetközi összehasonlítása országstatisztikák alapján [An international comparison of R and D activity, based on national statistics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 153-172.
  14. András Schubert & András Telcs, 1989. "Estimation of the publication potential in 50 U.S. states and in the District of Columbia based on the frequency distribution of scientific productivity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(4), pages 291-297, July.
  15. Telcs, A. & Glanzel, W. & Schubert, A., 1985. "Characterization and statistical test using truncated expectations for a class of skew distributions," Mathematical Social Sciences, Elsevier, vol. 10(2), pages 169-178, October.

Books

  1. Ádám Török & Balázs Borsi & András Telcs, 2005. "Competitiveness in Research and Development," Books, Edward Elgar Publishing, number 3498.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. András Telcs & Zsolt Tibor Kosztyán & Ádám Török, 2016. "Unbiased one-dimensional university ranking -- application-based preference ordering," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 212-228, January.

    Cited by:

    1. Antonio D’Ambrosio & Carmela Iorio & Michele Staiano & Roberta Siciliano, 2019. "Median constrained bucket order rank aggregation," Computational Statistics, Springer, vol. 34(2), pages 787-802, June.
    2. L'aszl'o Csat'o & Csaba T'oth, 2018. "University rankings from the revealed preferences of the applicants," Papers 1810.04087, arXiv.org, revised Feb 2020.
    3. Csató, László & Tóth, Csaba, 2020. "University rankings from the revealed preferences of the applicants," European Journal of Operational Research, Elsevier, vol. 286(1), pages 309-320.

  2. András Schubert & András Telcs, 2014. "A note on the Jaccardized Czekanowski similarity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1397-1399, February.

    Cited by:

    1. Costa, Luciano da F., 2022. "On similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).

  3. Török, Ádám & Telcs, András & Kosztyán, Zsolt Tibor, 2013. "Hallgatói preferencia-sorrendek készítése az egyetemi jelentkezések alapján [Preparing student preference rankings based on applications for university]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 290-317.

    Cited by:

    1. Csóka, Imola & Sebestyén, Géza & Neszveda, Gábor, 2019. "Tudományos teljesítmény mérése a magyar felsőoktatás gazdasági képzéseiben [Measuring scientific performance of business and economics faculties in Hungarian higher education]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 751-770.
    2. Telcs, András & Kosztyán, Zsolt Tibor & Banász, Zsuzsanna & Csányi, Vivien Valéria, 2019. "Felsőoktatási ligák, parciális rangsorok képzése biklaszterezési eljárásokkal [How to rate higher education systems partial rankings using bi-clustering methods]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 905-931.
    3. Csató, László, 2016. "Felsőoktatási rangsorok jelentkezői preferenciák alapján [University rankings on the basis of applicants preferences]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 27-61.

  4. Krisztina Barcza & András Telcs, 2009. "Paretian publication patterns imply Paretian Hirsch index," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 513-519, November.

    Cited by:

    1. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2013. "A centrality measure for communication ability in weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6107-6117.
    2. Baccini, A. & Barabesi, L. & Marcheselli, M. & Pratelli, L., 2012. "Statistical inference on the h-index with an application to top-scientist performance," Journal of Informetrics, Elsevier, vol. 6(4), pages 721-728.
    3. Biró, Tamás S. & Telcs, András & Józsa, Máté & Néda, Zoltán, 2023. "Gintropic scaling of scientometric indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    4. J. Martin Zyl, 2013. "The generalized Pareto distribution fitted to research outputs of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1099-1109, March.
    5. Glänzel, Wolfgang, 2010. "On reliability and robustness of scientometrics indicators based on stochastic models. An evidence-based opinion paper," Journal of Informetrics, Elsevier, vol. 4(3), pages 313-319.
    6. Wolfgang Glänzel, 2010. "The role of the h-index and the characteristic scores and scales in testing the tail properties of scientometric distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 697-709, June.
    7. Wolfgang Glänzel, 2012. "The role of core documents in bibliometric network analysis and their relation with h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 113-123, October.
    8. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    9. Li Zhai & Xiangbin Yan & Bin Zhu, 2014. "The H l -index: improvement of H-index based on quality of citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1021-1031, February.
    10. Yan, Xiangbin & Zhai, Li & Fan, Weiguo, 2013. "C-index: A weighted network node centrality measure for collaboration competence," Journal of Informetrics, Elsevier, vol. 7(1), pages 223-239.

  5. Korn, A. & Schubert, A. & Telcs, A., 2009. "Lobby index in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2221-2226.

    Cited by:

    1. Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
    2. Wang, JunFang & Guo, JinLi, 2019. "A synergy of punishment and extortion in cooperation dilemmas driven by the leader," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 263-268.
    3. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2013. "A centrality measure for communication ability in weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6107-6117.
    4. Wen Zhou & Jiayi Gu & Yifan Jia, 2018. "h-Index-based link prediction methods in citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 381-390, October.
    5. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    6. Liu, Qiang & Zhu, Yu-Xiao & Jia, Yan & Deng, Lu & Zhou, Bin & Zhu, Jun-Xing & Zou, Peng, 2018. "Leveraging local h-index to identify and rank influential spreaders in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 379-391.
    7. Lee, Yan-Li & Zhou, Tao, 2017. "Fast asynchronous updating algorithms for k-shell indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 524-531.
    8. Wang, Ruby W. & Wei, Shelia X. & Ye, Fred Y., 2021. "Extracting a core structure from heterogeneous information network using h-subnet and meta-path strength," Journal of Informetrics, Elsevier, vol. 15(3).
    9. Rousseau, Ronald & Zhao, Star X., 2015. "A general conceptual framework for characterizing the ego in a network," Journal of Informetrics, Elsevier, vol. 9(1), pages 145-149.
    10. Campiteli, M.G. & Holanda, A.J. & Soares, L.D.H. & Soles, P.R.C. & Kinouchi, O., 2013. "Lobby index as a network centrality measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5511-5515.
    11. András Schubert, 2015. "Rescaling the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1647-1653, February.
    12. András Schubert, 2015. "X-centage: a Hirsch-inspired indicator for distributions of percentage-valued variables and its use for measuring heterodisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 307-313, January.
    13. Judit Bar-Ilan & Mark Levene, 2015. "The hw-rank: an h-index variant for ranking web pages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2247-2253, March.
    14. Wolfgang Glänzel, 2012. "The role of core documents in bibliometric network analysis and their relation with h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 113-123, October.
    15. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
    16. R. G. Raj & A. N. Zainab, 2012. "Relative measure index: a metric to measure the quality of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 305-317, November.
    17. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.
    18. András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    19. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2018. "Bi-directional h-index: A new measure of node centrality in weighted and directed networks," Journal of Informetrics, Elsevier, vol. 12(1), pages 299-314.
    20. Below, Jonathan von & Nahuelhual, Laura & Eleuterio, Ana Alice & Laterra, Pedro, 2021. "Can participatory action research foster social learning in communities struggling for land tenure?," Land Use Policy, Elsevier, vol. 101(C).
    21. Li Zhai & Xiangbin Yan & Bin Zhu, 2014. "The H l -index: improvement of H-index based on quality of citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1021-1031, February.
    22. Yan, Xiangbin & Zhai, Li & Fan, Weiguo, 2013. "C-index: A weighted network node centrality measure for collaboration competence," Journal of Informetrics, Elsevier, vol. 7(1), pages 223-239.
    23. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.

  6. András Schubert & András Korn & András Telcs, 2009. "Hirsch-type indices for characterizing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 375-382, February.

    Cited by:

    1. Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
    2. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    3. Wen Zhou & Jiayi Gu & Yifan Jia, 2018. "h-Index-based link prediction methods in citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 381-390, October.
    4. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    5. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    6. Wang, Ruby W. & Wei, Shelia X. & Ye, Fred Y., 2021. "Extracting a core structure from heterogeneous information network using h-subnet and meta-path strength," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "A theoretical model of the relationship between the h-index and other simple citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1415-1448, June.
    8. Rousseau, Ronald & Zhao, Star X., 2015. "A general conceptual framework for characterizing the ego in a network," Journal of Informetrics, Elsevier, vol. 9(1), pages 145-149.
    9. András Schubert, 2015. "Rescaling the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1647-1653, February.
    10. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    11. András Schubert, 2015. "X-centage: a Hirsch-inspired indicator for distributions of percentage-valued variables and its use for measuring heterodisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 307-313, January.
    12. Telcs, András & Csernai, Márton & Gulyás, András, 2013. "Load balanced diffusive capture process on homophilic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(3), pages 510-519.
    13. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    14. David Guy Brizan & Kevin Gallagher & Arnab Jahangir & Theodore Brown, 2016. "Predicting citation patterns: defining and determining influence," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 183-200, July.
    15. Wolfgang Glänzel, 2012. "The role of core documents in bibliometric network analysis and their relation with h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 113-123, October.
    16. R. G. Raj & A. N. Zainab, 2012. "Relative measure index: a metric to measure the quality of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 305-317, November.
    17. Bertoli-Barsotti, Lucio & Lando, Tommaso, 2015. "On a formula for the h-index," Journal of Informetrics, Elsevier, vol. 9(4), pages 762-776.
    18. András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    19. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
    20. Sebastian K. Boell & Concepción S. Wilson, 2010. "Journal Impact Factors for evaluating scientific performance: use of h-like indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 613-626, March.
    21. Yan, Xiangbin & Zhai, Li & Fan, Weiguo, 2013. "C-index: A weighted network node centrality measure for collaboration competence," Journal of Informetrics, Elsevier, vol. 7(1), pages 223-239.
    22. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.

  7. Borsi, Balázs & Telcs, András, 2004. "A K+F-tevékenység nemzetközi összehasonlítása országstatisztikák alapján [An international comparison of R and D activity, based on national statistics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 153-172.

    Cited by:

    1. László Molnár, 2011. "Research and Development Activity Matrix," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 7(02), pages 29-37.
    2. Szerb, László & Ulbert, József & Varga, Attila & Bodor, Éva & Acs, Zoltan J., 2004. "Az új vállalkozások hatásai nemzetközi összehasonlításban. A Global Entrepreneurship Monitor kutatás, 2001-2003 [The effect of new ventures compared internationally]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 679-698.

  8. András Schubert & András Telcs, 1989. "Estimation of the publication potential in 50 U.S. states and in the District of Columbia based on the frequency distribution of scientific productivity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(4), pages 291-297, July.

    Cited by:

    1. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 499-510, July.
    2. A. Baccini & L. Barabesi & M. Cioni & C. Pisani, 2014. "Crossing the hurdle: the determinants of individual scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 2035-2062, December.
    3. Quentin L. Burrell, 2007. "Time-dependent aspects of co-concentration in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 161-174, November.
    4. Wolfgang Glänzel, 2010. "The role of the h-index and the characteristic scores and scales in testing the tail properties of scientometric distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 697-709, June.
    5. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 499-510, January.

  9. Telcs, A. & Glanzel, W. & Schubert, A., 1985. "Characterization and statistical test using truncated expectations for a class of skew distributions," Mathematical Social Sciences, Elsevier, vol. 10(2), pages 169-178, October.

    Cited by:

    1. Wolfgang Glänzel, 2009. "The multi-dimensionality of journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 355-374, February.
    2. Wolfgang Glänzel & Sarah Heeffer & Bart Thijs, 2017. "Lexical analysis of scientific publications for nano-level scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1897-1906, June.
    3. Koski, Timo & Sandström, Erik & Sandström, Ulf, 2016. "Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution," Journal of Informetrics, Elsevier, vol. 10(4), pages 1143-1152.

Books

  1. Ádám Török & Balázs Borsi & András Telcs, 2005. "Competitiveness in Research and Development," Books, Edward Elgar Publishing, number 3498.

    Cited by:

    1. Lengyel, Imre & Varga, Attila, 2018. "A magyar gazdasági növekedés térbeli korlátai - helyzetkép és alapvető dilemmák [The spatial limits of economic growth in Hungary: An overview and some dilemmas]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 499-524.

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