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Patterns of authors contribution in scientific manuscripts

Citations

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Cited by:

  1. Wang, Jingjing & Xu, Shuqi & Mariani, Manuel S. & Lü, Linyuan, 2021. "The local structure of citation networks uncovers expert-selected milestone papers," Journal of Informetrics, Elsevier, vol. 15(4).
  2. Guerreiro, Lucas & Silva, Filipi N. & Amancio, Diego R., 2024. "Recovering network topology and dynamics from sequences: A machine learning approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
  3. Corrêa, Edilson A. & Marinho, Vanessa Q. & Amancio, Diego R., 2020. "Semantic flow in language networks discriminates texts by genre and publication date," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
  4. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
  5. Xiaoyu Cai & Tao Han, 2020. "Analysis of the division of labor in China’s high-quality life sciences research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1077-1094, November.
  6. Zhang, Chengjun & Ren, ZhengJu & Xiang, Gaofeng & Yu, Wenbin & Xu, Zeyu & Liu, Jin & Chen, Yadang, 2025. "A comprehensive comparative analysis of publication monopoly phenomenon in scientific journals," Journal of Informetrics, Elsevier, vol. 19(1).
  7. Zheng Xie, 2021. "A distributed hypergraph model for simulating the evolution of large coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4609-4638, June.
  8. Edson Melo Souza & Jose Eduardo Storopoli & Wonder Alexandre Luz Alves, 2022. "Scientific Contribution List Categories Investigation: a comparison between three mainstream medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2249-2276, May.
  9. Maria-Victoria Uribe-Bohorquez & Juan-Camilo Rivera-Ordóñez & Isabel-María García-Sánchez, 2023. "Gender disparities in accounting academia: analysis from the lens of publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3827-3865, July.
  10. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2022. "Catalytic capacity of technological innovation: Multidimensional definition and measurement from the perspective of knowledge spillover," Technology in Society, Elsevier, vol. 68(C).
  11. Zhang, Wanshu & Wang, Xuefeng & Chen, Hongshu & Liu, Jia, 2024. "The impact of early debut on scientists: Evidence from the Young Scientists Fund of the NSFC," Research Policy, Elsevier, vol. 53(2).
  12. Walsh, John P. & Lee, You-Na & Tang, Li, 2019. "Pathogenic organization in science: Division of labor and retractions," Research Policy, Elsevier, vol. 48(2), pages 444-461.
  13. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
  14. Wenhan Chao & Mengyuan Chen & Xian Zhou & Zhunchen Luo, 2023. "A joint framework for identifying the type and arguments of scientific contribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3347-3376, June.
  15. Julian Decius & Miriam Schilbach, 2025. "Fair credit? The impact of shared first authorship on academic career evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(3), pages 1731-1750, March.
  16. Xie, Zheng, 2020. "Predicting the number of coauthors for researchers: A learning model," Journal of Informetrics, Elsevier, vol. 14(2).
  17. Jorge A. V. Tohalino & Laura V. C. Quispe & Diego R. Amancio, 2021. "Analyzing the relationship between text features and grants productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4255-4275, May.
  18. Chao Lu & Yingyi Zhang & Yong‐Yeol Ahn & Ying Ding & Chenwei Zhang & Dandan Ma, 2020. "Co‐contributorship network and division of labor in individual scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1162-1178, October.
  19. Vincenza Carchiolo & Marco Grassia & Michele Malgeri & Giuseppe Mangioni, 2022. "Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers," Future Internet, MDPI, vol. 14(6), pages 1-15, June.
  20. Carla Mara Hilário & Maria Cláudia Cabrini Grácio & Daniel Martínez-Ávila & Dietmar Wolfram, 2023. "Authorship order as an indicator of similarity between article discourse and author citation identity in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5389-5410, October.
  21. Tohalino, Jorge A.V. & Amancio, Diego R., 2022. "On predicting research grants productivity via machine learning," Journal of Informetrics, Elsevier, vol. 16(2).
  22. Jeong, Yoo Kyung & Xie, Qing & Yan, Erjia & Song, Min, 2020. "Examining drug and side effect relation using author–entity pair bipartite networks," Journal of Informetrics, Elsevier, vol. 14(1).
  23. Thijs Devriendt & Mahsa Shabani & Karim Lekadir & Pascal Borry, 2022. "Data sharing platforms: instruments to inform and shape science policy on data sharing?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3007-3019, June.
  24. Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
  25. Jingda Ding & Chao Liu & Qiao Zheng & Wei Cai, 2021. "A new method of co-author credit allocation based on contributor roles taxonomy: proof of concept and evaluation using papers published in PLOS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7561-7581, September.
  26. Brito, Ana C.M. & Silva, Filipi N. & de Arruda, Henrique F. & Comin, Cesar H. & Amancio, Diego R. & Costa, Luciano da F., 2021. "Classification of abrupt changes along viewing profiles of scientific articles," Journal of Informetrics, Elsevier, vol. 15(2).
  27. Ana C. M. Brito & Filipi N. Silva & Diego R. Amancio, 2023. "Analyzing the influence of prolific collaborations on authors productivity and visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2471-2487, April.
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