IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/114273.html
   My bibliography  Save this paper

k-Means Clusterization and Machine Learning Prediction of European Most Cited Scientific Publications

Author

Listed:
  • Leogrande, Angelo
  • Costantiello, Alberto
  • Laureti, Lucio

Abstract

In this article we investigate the determinants of the European “Most Cited Publications”. We use data from the European Innovation Scoreboard-EIS of the European Commission for the period 2010-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, WLS, and Pooled OLS. Results show that the level of “Most Cited Publications” is positively associated, among others, to “Innovation Index” and “Enterprise Birth” and negatively associated, among others, to “Government Procurement of Advanced Technology Products” and “Human Resources”. Furthermore, we perform a cluster analysis with the k-Means algorithm either with the Silhouette Coefficient and the Elbow Method. We find that the Elbow Method shows better results than the Silhouette Coefficient with a number of clusters equal to 3. In adjunct we perform a network analysis with the Manhattan distance, and we find the presence of 4 complex and 2 simplified network structures. Finally, we present a confrontation among 10 machine learning algorithms to predict the level of “Most Cited Publication” either with Original Data-OD either with Augmented Data-AD. Results show that the best machine learning algorithm to predict the level of “Most Cited Publication” with Original Data-OD is SGD, while Linear Regression is the best machine learning algorithm for the prediction of “Most Cited Publications” with Augmented Data-AD.

Suggested Citation

  • Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "k-Means Clusterization and Machine Learning Prediction of European Most Cited Scientific Publications," MPRA Paper 114273, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:114273
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/114273/1/MPRA_paper_114273.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Export of Medium and High-Tech Products Manufactured in Europe," MPRA Paper 114215, University Library of Munich, Germany.
    2. Castillo-Vergara, Mauricio & Alvarez-Marin, Alejandro & Placencio-Hidalgo, Dario, 2018. "A bibliometric analysis of creativity in the field of business economics," Journal of Business Research, Elsevier, vol. 85(C), pages 1-9.
    3. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    4. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Exports of Knowledge Intensive Services. A Complex Metric Approach," MPRA Paper 113348, University Library of Munich, Germany.
    5. Leogrande, Angelo, 2022. "Export of Medium and High-Tech Products in Europe," MPRA Paper 112619, University Library of Munich, Germany.
    6. Costantiello, Alberto & Laureti, Lucio & De Cristoforo, Gianluca & Leogrande, Angelo, 2021. "The Innovation-Sales Growth Nexus in Europe," MPRA Paper 106858, University Library of Munich, Germany, revised 28 Mar 2021.
    7. Leogrande, Angelo, 2022. "The Export of High Knowledge Intensity Services of European Countries," MPRA Paper 112795, University Library of Munich, Germany.
    8. Costantiello, Alberto & Laureti, Lucio & Leogrande, Angelo, 2022. "The Determinants of Lifelong Learning in Europe," MPRA Paper 114053, University Library of Munich, Germany.
    9. Leogrande, Angelo & Costantiello, Alberto, 2021. "Human Resources in Europe. Estimation, Clusterization, Machine Learning and Prediction," MPRA Paper 109749, University Library of Munich, Germany.
    10. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Leogrande, Domenico, 2021. "The Determinants of Design Applications in Europe," MPRA Paper 110836, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Costantiello, Alberto & Leogrande, Angelo, 2023. "The Impact of Research and Development Expenditures on ESG Model in the Global Economy," MPRA Paper 117013, University Library of Munich, Germany.

    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. Costantiello, Alberto & Leogrande, Angelo, 2023. "The Impact Of Research And Development Expenditures On Esg Model In The Global Economy," SocArXiv xy6ew, Center for Open Science.
    2. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Export of Medium and High-Tech Products Manufactured in Europe," MPRA Paper 114215, University Library of Munich, Germany.
    3. Laureti, Lucio & Costantiello, Alberto & Matarrese, Marco Maria & Leogrande, Angelo, 2022. "Enterprises Providing ICT Training in Europe," MPRA Paper 111756, University Library of Munich, Germany.
    4. Laureti, Lucio & Costantiello, Alberto & Matarrese, Marco Maria & Leogrande, Angelo, 2022. "The Employment in Innovative Enterprises in Europe," MPRA Paper 111335, University Library of Munich, Germany.
    5. Leogrande, Angelo, 2022. "The Export of High Knowledge Intensity Services of European Countries," MPRA Paper 112795, University Library of Munich, Germany.
    6. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The impact of patent applications on technological innovation in European countries," MPRA Paper 115346, University Library of Munich, Germany.
    7. Grueso Gala, Melanie & Camisón Zornoza, César, 2022. "A bibliometric analysis of the literature on non-financial information reporting: Review of the research and network visualization," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    8. Costantiello, Alberto & Laureti, Lucio & Leogrande, Angelo, 2022. "Marketing and Organizational Innovations in Europe," MPRA Paper 114121, University Library of Munich, Germany.
    9. Tiberius, Victor & Siglow, Caroline & Sendra-García, Javier, 2020. "Scenarios in business and management: The current stock and research opportunities," Journal of Business Research, Elsevier, vol. 121(C), pages 235-242.
    10. Costantiello, Alberto & Laureti, Lucio & Leogrande, Angelo, 2022. "The Determinants of Lifelong Learning in Europe," MPRA Paper 114053, University Library of Munich, Germany.
    11. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2021. "The Broadband Penetration in Europe," MPRA Paper 110457, University Library of Munich, Germany.
    12. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Impact of New Doctorate Graduates on Innovation Systems in Europe," MPRA Paper 114452, University Library of Munich, Germany.
    13. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2021. "The Impact of Venture Capital Expenditures on Innovation in Europe," MPRA Paper 109897, University Library of Munich, Germany.
    14. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Opportunity Driven Entrepreneurship in the Context of Innovation Systems in Europe in the Period 2010-2019," MPRA Paper 114716, University Library of Munich, Germany.
    15. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Leogrande, Domenico, 2021. "The Determinants of Design Applications in Europe," MPRA Paper 110836, University Library of Munich, Germany.
    16. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio, 2022. "The Exports of Knowledge Intensive Services. A Complex Metric Approach," MPRA Paper 113348, University Library of Munich, Germany.
    17. Sascha Kraus & Paul Jones & Norbert Kailer & Alexandra Weinmann & Nuria Chaparro-Banegas & Norat Roig-Tierno, 2021. "Digital Transformation: An Overview of the Current State of the Art of Research," SAGE Open, , vol. 11(3), pages 21582440211, September.
    18. Cricelli, Livio & Mauriello, Roberto & Strazzullo, Serena, 2023. "Preventing open innovation failures: A managerial framework," Technovation, Elsevier, vol. 127(C).
    19. Leogrande, Angelo & Costantiello, Alberto, 2021. "Human Resources in Europe. Estimation, Clusterization, Machine Learning and Prediction," MPRA Paper 109749, University Library of Munich, Germany.
    20. Andrea Moretta Tartaglione & Ylenia Cavacece & Giuseppe Russo & Giuseppe Granata, 2019. "A Systematic Mapping Study on Customer Loyalty and Brand Management," Administrative Sciences, MDPI, vol. 9(1), pages 1-21, January.

    More about this item

    Keywords

    Innovation; and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation.;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:114273. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.