IDEAS home Printed from https://ideas.repec.org/r/spr/scient/v105y2015i3d10.1007_s11192-015-1762-8.html
   My bibliography  Save this item

Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yi Lu & Gayani Karunasena & Chunlu Liu, 2022. "A Systematic Literature Review of Non-Compliance with Low-Carbon Building Regulations," Energies, MDPI, vol. 15(24), pages 1-20, December.
  2. Margarida Rodrigues & Mário Franco, 2022. "Bibliometric review about eco-cites and urban sustainable development: trend topics," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13683-13704, December.
  3. Wei‐Min Fan & Wei Jeng & Muh‐Chyun Tang, 2023. "Using data citation to define a knowledge domain: A case study of the Add‐Health dataset," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 81-98, January.
  4. Carlos Olmeda-Gómez & Maria-Antonia Ovalle-Perandones & Antonio Perianes-Rodríguez, 2017. "Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 195-217, October.
  5. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
  6. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
  7. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  8. Brady Lund, 2019. "Examination of correlates of H-index as a measure of research productivity for library and information science faculty in the United States and Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 897-915, August.
  9. Qu Zhao, 2018. "Electromobility research in Germany and China: structural differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 473-493, October.
  10. Shome, Samik & Hassan, M. Kabir & Verma, Sushma & Panigrahi, Tushar Ranjan, 2023. "Impact investment for sustainable development: A bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 770-800.
  11. Luis Quevedo & Víctor Velasco & José à lvarez & Paula Moreno, 2023. "Mapping Tourism and Global Change: A Bibliometric Analysis (2012-2022)," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, March.
  12. Xiaoguang Wang & Hongyu Wang & Han Huang, 2021. "Evolutionary exploration and comparative analysis of the research topic networks in information disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4991-5017, June.
  13. Linqing Liu & Shiye Mei, 2016. "Visualizing the GVC research: a co-occurrence network based bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 953-977, November.
  14. Yu-Wei Chang, 2018. "Examining interdisciplinarity of library and information science (LIS) based on LIS articles contributed by non-LIS authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1589-1613, September.
  15. Giacomo Marzi & Marina Dabić & Tugrul Daim & Edwin Garces, 2017. "Product and process innovation in manufacturing firms: a 30-year bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 673-704, November.
  16. Mohammad Sahabuddin & Md. Nazmus Sakib & Md. Mahbubur Rahman & Adamu Jibir & Mochammad Fahlevi & Mohammed Aljuaid & Sandra Grabowska, 2023. "The Evolution of FinTech in Scientific Research: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
  17. Fuzhen Liu & Kee-hung Lai & Wei Cai, 2021. "Responsible Production for Sustainability: Concept Analysis and Bibliometric Review," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
  18. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  19. Xiaoyao Han, 2020. "Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2561-2595, December.
  20. Wang, Xiaoguang & He, Jing & Huang, Han & Wang, Hongyu, 2022. "MatrixSim: A new method for detecting the evolution paths of research topics," Journal of Informetrics, Elsevier, vol. 16(4).
  21. Miika Kumpulainen & Marko Seppänen, 2022. "Combining Web of Science and Scopus datasets in citation-based literature study," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5613-5631, October.
  22. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
  23. Victor, Vijay & Nair, Aparna M. & Meyer, Daniel Francois, 2023. "Nudges and choice architecture in public policy: A bibliometric analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
  24. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
  25. Thea Paeffgen, 2022. "Organisational Resilience during COVID-19 Times: A Bibliometric Literature Review," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
  26. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
  27. Likang Zhang & Jichang Dong & Zhi Dong & Xiuting Li, 2022. "Research Hotspots and Trend Analysis in the Field of Regional Economics and Carbon Emissions since the 21st Century: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
  28. Jinesh Jain & Nidhi Walia & Simarjeet Singh & Esha Jain, 2022. "Mapping the field of behavioural biases: a literature review using bibliometric analysis," Management Review Quarterly, Springer, vol. 72(3), pages 823-855, September.
  29. Ruturaj Baber & Yogesh Upadhyay & Prerana Baber & Rahul Pratap Singh Kaurav, 2023. "Three Decades of Consumer Ethnocentrism Research: A Bibliometric Analysis," Business Perspectives and Research, , vol. 11(1), pages 137-158, January.
  30. Sun, Xiaoling & Ding, Kun & Lin, Yuan, 2016. "Mapping the evolution of scientific fields based on cross-field authors," Journal of Informetrics, Elsevier, vol. 10(3), pages 750-761.
  31. Pertti Vakkari & Yu-Wei Chang & Kalervo Järvelin, 2022. "Largest contribution to LIS by external disciplines as measured by the characteristics of research articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4499-4522, August.
  32. Mir Shahid Satar & Deepanshi Aggarwal & Rohit Bansal & Ghadah Alarifi, 2023. "Mapping the Knowledge Structure and Unveiling the Research Trends in Social Entrepreneurship and Inclusive Development: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(7), pages 1-28, March.
  33. Federica Bologna & Angelo Iorio & Silvio Peroni & Francesco Poggi, 2023. "Do open citations give insights on the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 19-53, January.
  34. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
  35. Qiang Gao & Xiao Huang & Ke Dong & Zhentao Liang & Jiang Wu, 2022. "Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1543-1563, March.
  36. Tsung-Ming Hsiao & Kuang-hua Chen, 2020. "The dynamics of research subfields for library and information science: an investigation based on word bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 717-737, October.
  37. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
  38. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
  39. Qian, Yue & Liu, Yu & Sheng, Quan Z., 2020. "Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence," Journal of Informetrics, Elsevier, vol. 14(3).
  40. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
  41. Hu, Ya-Han & Tai, Chun-Tien & Liu, Kang Ernest & Cai, Cheng-Fang, 2020. "Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity," Journal of Informetrics, Elsevier, vol. 14(1).
  42. Mu-Hsuan Huang & Chia-Pin Chang, 2016. "A comparative study on three citation windows for detecting research fronts," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1835-1853, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.