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Comparing journal and paper level classifications of science

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Cited by:

  1. Muhammad Imran Qureshi & Nohman Khan & Shazia Qayyum & Subha Malik & Sanil S Hishan & Thurasamy Ramayah, 2020. "Classifications of Sustainable Manufacturing Practices in ASEAN Region: A Systematic Review and Bibliometric Analysis of the Past Decade of Research," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
  2. Jiandong Zhang & Zhesi Shen, 2024. "Analyzing journal category assignment using a paper-level classification system: multidisciplinary sciences journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 5963-5978, October.
  3. Yuzhuo Wang & Kai Li, 2024. "How do official software citation formats evolve over time? A longitudinal analysis of R programming language packages," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3997-4019, July.
  4. Kaile Gong, 2023. "The influence of discipline consistency between papers and published journals on citations: an analysis of Chinese papers in three social science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3129-3146, May.
  5. Ayelet Gal-Tzur & Sivan Albagli-Kim, 2023. "Systematic Analysis of the Literature Addressing the Use of Machine Learning Techniques in Transportation—A Methodology and Its Application," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
  6. Paul Donner, 2021. "Validation of the Astro dataset clustering solutions with external data," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1619-1645, February.
  7. Baccini, Federica & Barabesi, Lucio & Baccini, Alberto & Khelfaoui, Mahdi & Gingras, Yves, 2022. "Similarity network fusion for scholarly journals," Journal of Informetrics, Elsevier, vol. 16(1).
  8. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.
  9. Fei Shu & Yue Ma & Junping Qiu & Vincent Larivière, 2020. "Classifications of science and their effects on bibliometric evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2727-2744, December.
  10. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
  11. Kai Li & Chenyue Jiao, 2022. "The data paper as a sociolinguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstracts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 834-846, June.
  12. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
  13. Gerson Pech & Catarina Delgado & Silvio Paolo Sorella, 2022. "Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1513-1528, November.
  14. Fei Shu & Jesse David Dinneen & Shiji Chen, 2022. "Measuring the disparity among scientific disciplines using Library of Congress Subject Headings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3613-3628, June.
  15. Nicolas Robinson-Garcia & Benjamín Vargas-Quesada & Daniel Torres-Salinas & Zaida Chinchilla-Rodríguez & Juan Gorraiz, 2024. "Errors of measurement in scientometrics: classification schemes and document types in citation and publication rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6455-6475, October.
  16. Yashan Li & Jinge Mao & Lin Zhang & Dongbo Wang & Si Shen & Ying Huang, 2022. "How scientific research incorporates policy: an examination using the case of China’s science and technology evaluation system," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5283-5306, September.
  17. Fei Shu & Xiaojian Wang & Sichen Liu & Junping Qiu & Vincent Larivière, 2023. "Global impact or national accessibility? A paradox in China’s science," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 263-277, January.
  18. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
  19. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
  20. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
  21. Michael Gusenbauer, 2022. "Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2683-2745, May.
  22. Shannon Mason & Lenandlar Singh, 2022. "When a journal is both at the ‘top’ and the ‘bottom’: the illogicality of conflating citation-based metrics with quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3683-3694, June.
  23. Guo Chen & Jing Chen & Yu Shao & Lu Xiao, 2023. "Automatic noise reduction of domain-specific bibliographic datasets using positive-unlabeled learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1187-1204, February.
  24. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
  25. Sitaram Devarakonda & Dmitriy Korobskiy & Tandy Warnow & George Chacko, 2020. "Viewing computer science through citation analysis: Salton and Bergmark Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 271-287, October.
  26. B. Deepthi & Vikram Bansal, 2024. "Industry 4.0 in Textile and Apparel Industry: A Systematic Literature Review and Bibliometric Analysis of Global Research Trends," Vision, , vol. 28(2), pages 157-170, April.
  27. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
  28. Cao, Renmeng & Geng, Yu & Xu, Xiaoke & Wang, Xianwen, 2022. "How does duplicate tweeting boost social media exposure to scholarly articles?," Journal of Informetrics, Elsevier, vol. 16(1).
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