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Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop

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Advances in Information Retrieval (ECIR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12657))

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Abstract

The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR tackles issues related to academic search, at the intersection of Information Retrieval, Natural Language Processing and Bibliometrics. BIR is a hot topic investigated by both academia and the industry. In this overview paper, we summarize the 11th iteration of the workshop and present the workshop topics for 2021.

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Notes

  1. 1.

    BIR 2020 appeared in https://irsg.bcs.org/informer/category/spring-2020/.

  2. 2.

    https://sdproc.org/2021/.

References

  1. Cabanac, G., Frommholz, I., Mayr, P.: Report on the 10th anniversary workshop on bibliometric-enhanced information retrieval (BIR 2020). In: SIGIR Forum, vol. 54, no. 1 (2020). https://doi.org/10.1145/3451964.3451974

  2. Cabanac, G., Frommholz, I., Mayr, P.: Scholarly literature mining with information retrieval and natural language processing: preface. Scientometrics 125(3), 2835–2840 (2020). https://doi.org/10.1007/s11192-020-03763-4

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  3. Mayr, P., Scharnhorst, A., Larsen, B., Schaer, P., Mutschke, P.: Bibliometric-enhanced information retrieval. In: de Rijke, M., et al. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 798–801. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06028-6_99

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  4. White, H.D., McCain, K.W.: Visualizing a discipline: an author co-citation analysis of Information Science, 1972–1995. J. Am. Soc. Inf. Sci. 49(4), 327–355 (1998). https://doi.org/b57vc7

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Acknowledgement

The organizers wish to thank all those who contributed to this workshop series: the researchers who contributed papers, the many reviewers who generously offered their time and expertise, and the participants of the BIR and BIRNDL workshops. Since 2016, we maintain the Bibliometric-enhanced-IR Bibliography that collects scientific papers which appear in collaboration with the BIR/BIRNDL organizers.

Author information

Authors and Affiliations

  1. School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, UK

    Ingo Frommholz

  2. GESIS – Leibniz-Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  3. Institute of Computer Science, University of Göttingen, Göttingen, Germany

    Philipp Mayr

  4. Computer Science Department, University of Toulouse, IRIT UMR 5505, Toulouse, France

    Guillaume Cabanac

  5. LIACS, Leiden University, Leiden, The Netherlands

    Suzan Verberne

Authors
  1. Ingo Frommholz
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  2. Philipp Mayr
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  3. Guillaume Cabanac
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  4. Suzan Verberne
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Corresponding author

Correspondence to Ingo Frommholz .

Editor information

Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Djoerd Hiemstra

  2. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  3. Toulouse, Toulouse Institute of Computer Science Research, Toulouse, France

    Josiane Mothe

  4. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Raffaele Perego

  5. Leipzig University, Leipzig, Germany

    Martin Potthast

  6. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

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Frommholz, I., Mayr, P., Cabanac, G., Verberne, S. (2021). Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_85

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  • DOI: https://doi.org/10.1007/978-3-030-72240-1_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72239-5

  • Online ISBN: 978-3-030-72240-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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