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Bibliometric-enhanced information retrieval: preface

Author

Listed:
  • Guillaume Cabanac

    (University of Toulouse)

  • Ingo Frommholz

    (University of Bedfordshire)

  • Philipp Mayr

    (GESIS – Leibniz Institute for the Social Sciences)

Abstract

No abstract is available for this item.

Suggested Citation

  • Guillaume Cabanac & Ingo Frommholz & Philipp Mayr, 2018. "Bibliometric-enhanced information retrieval: preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1225-1227, August.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:2:d:10.1007_s11192-018-2861-0
    DOI: 10.1007/s11192-018-2861-0
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    References listed on IDEAS

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    1. Samaneh Karimi & Luis Moraes & Avisha Das & Azadeh Shakery & Rakesh Verma, 2018. "Citance-based retrieval and summarization using IR and machine learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1331-1366, August.
    2. Nguyen Minh Tien & Cyril Labbé, 2018. "Detecting automatically generated sentences with grammatical structure similarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1247-1271, August.
    3. Shutian Ma & Jin Xu & Chengzhi Zhang, 2018. "Automatic identification of cited text spans: a multi-classifier approach over imbalanced dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1303-1330, August.
    4. Philipp Mayr & Andrea Scharnhorst, 2015. "Combining bibliometrics and information retrieval: preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2191-2192, March.
    5. Kevin Heffernan & Simone Teufel, 2018. "Identifying problems and solutions in scientific text," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1367-1382, August.
    6. Mehmet Ali Abdulhayoglu & Bart Thijs, 2018. "Use of locality sensitive hashing (LSH) algorithm to match Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1229-1245, August.
    7. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    8. Ameni Kacem & Philipp Mayr, 2018. "Analysis of search stratagem utilisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1383-1400, August.
    9. Luca Cagliero & Paolo Garza & Mohammad Reza Kavoosifar & Elena Baralis, 2018. "Discovering cross-topic collaborations among researchers by exploiting weighted association rules," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1273-1301, August.
    10. Andi Rexha & Mark Kröll & Hermann Ziak & Roman Kern, 2018. "Authorship identification of documents with high content similarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 223-237, April.
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    Cited by:

    1. Iqra Safder & Saeed-Ul Hassan, 2019. "Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 257-277, April.
    2. Guillaume Cabanac & Ingo Frommholz & Philipp Mayr, 2020. "Scholarly literature mining with information retrieval and natural language processing: Preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2835-2840, December.

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