IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v94y2013i1d10.1007_s11192-012-0781-y.html
   My bibliography  Save this article

Duplicate and fake publications in the scientific literature: how many SCIgen papers in computer science?

Author

Listed:
  • Cyril Labbé

    (Université Joseph Fourier)

  • Dominique Labbé

    (PACTE, Institut d’Etudes Politiques de Grenoble)

Abstract

Two kinds of bibliographic tools are used to retrieve scientific publications and make them available online. For one kind, access is free as they store information made publicly available online. For the other kind, access fees are required as they are compiled on information provided by the major publishers of scientific literature. The former can easily be interfered with, but it is generally assumed that the latter guarantee the integrity of the data they sell. Unfortunately, duplicate and fake publications are appearing in scientific conferences and, as a result, in the bibliographic services. We demonstrate a software method of detecting these duplicate and fake publications. Both the free services (such as Google Scholar and DBLP) and the charged-for services (such as IEEE Xplore) accept and index these publications.

Suggested Citation

  • Cyril Labbé & Dominique Labbé, 2013. "Duplicate and fake publications in the scientific literature: how many SCIgen papers in computer science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 379-396, January.
  • Handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0781-y
    DOI: 10.1007/s11192-012-0781-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0781-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-012-0781-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Philip Ball, 2005. "Computer conference welcomes gobbledegook paper," Nature, Nature, vol. 434(7036), pages 946-946, April.
    2. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuyue Huang & Lena Jingen Liang & Hwansuk Chris Choi, 2022. "How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    2. Daoud, Adel & Kohl, Sebastian, 2016. "How much do sociologists write about economic topics? Using big data to test some conventional views in economic sociology, 1890 to 2014," MPIfG Discussion Paper 16/7, Max Planck Institute for the Study of Societies.
    3. David C Molik & DeAndre Tomlinson & Shane Davitt & Eric L Morgan & Matthew Sisk & Benjamin Roche & Natalie Meyers & Michael E Pfrender, 2021. "Combining natural language processing and metabarcoding to reveal pathogen-environment associations," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(4), pages 1-21, April.
    4. Hornik, Kurt & Grün, Bettina, 2014. "movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i10).
    5. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    6. Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2019. "The Effect of a Leniency Rule on Cartel Formation and Stability: Experiments with Open Communication," Discussion Papers of DIW Berlin 1835, DIW Berlin, German Institute for Economic Research.
    7. KOCAK, Necmettin Alpay, 2021. "The Impacts Of Speeches On Nowcasting Gdp: A Case Study On Euro Area Markets," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 25(1), pages 6-29, March.
    8. Olgun Aydin & Cansu Altunbas & Elvan Hayat, 2021. "Using Text Mining Techniques to Understand the Economic Effects of COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 760-774.
    9. Abhinav Khare & Qing He & Rajan Batta, 2020. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 693-726, September.
    10. Lovrić, Marko & Lovrić, Nataša & Mavsar, Robert, 2020. "Mapping forest-based bioeconomy research in Europe," Forest Policy and Economics, Elsevier, vol. 110(C).
    11. Cristian Mejia & Yuya Kajikawa, 2021. "The Academic Landscapes of Manufacturing Enterprise Performance and Environmental Sustainability: A Study of Commonalities and Differences," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    12. Lehotský, Lukáš & Černoch, Filip & Osička, Jan & Ocelík, Petr, 2019. "When climate change is missing: Media discourse on coal mining in the Czech Republic," Energy Policy, Elsevier, vol. 129(C), pages 774-786.
    13. Doblinger, Claudia & Surana, Kavita & Li, Deyu & Hultman, Nathan & Anadón, Laura Díaz, 2022. "How do global manufacturing shifts affect long-term clean energy innovation? A study of wind energy suppliers," Research Policy, Elsevier, vol. 51(7).
    14. Zheng He & Negar Elhami Khorasani, 2022. "Identification and hierarchical structure of cause factors for fire following earthquake using data mining and interpretive structural modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 947-976, May.
    15. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," European Economic Review, Elsevier, vol. 152(C).
    16. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
    17. Ravi Chinta & Vijay V. Raghavan, 2015. "Phenomenological study of decline of personal health records: Empirical evidence from thematic analyses of blogs’ content," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1102617-110, December.
    18. Lovrić, Nataša & Lovrić, Marko & Mavsar, Robert, 2020. "Factors behind development of innovations in European forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 111(C).
    19. Aykroyd, Robert G. & Leiva, Víctor & Ruggeri, Fabrizio, 2019. "Recent developments of control charts, identification of big data sources and future trends of current research," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 221-232.
    20. Garner, Benjamin & Thornton, Corliss & Luo Pawluk, Anita & Mora Cortez, Roberto & Johnston, Wesley & Ayala, Cesar, 2022. "Utilizing text-mining to explore consumer happiness within tourism destinations," Journal of Business Research, Elsevier, vol. 139(C), pages 1366-1377.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0781-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.