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Determinants of research citation impact in nanoscience and nanotechnology

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Cited by:

  1. Thor-Erik Sandberg Hanssen & Finn Jørgensen & Berner Larsen, 2018. "The relation between the quality of research, researchers’ experience, and their academic environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 933-950, March.
  2. Bornmann, Lutz & Leydesdorff, Loet, 2015. "Does quality and content matter for citedness? A comparison with para-textual factors and over time," Journal of Informetrics, Elsevier, vol. 9(3), pages 419-429.
  3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2014. "How to improve the prediction based on citation impact percentiles for years shortly after the publication date?," Journal of Informetrics, Elsevier, vol. 8(1), pages 175-180.
  4. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
  5. Марголис А. А. & Пономарева В. В. & Сорокова М. Г., 2020. "Особенности "Российского Хирша": Предикторы Цитируемости Научных Статей В Ринц," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 230-255.
  6. Ruan, Xuanmin & Zhu, Yuanyang & Li, Jiang & Cheng, Ying, 2020. "Predicting the citation counts of individual papers via a BP neural network," Journal of Informetrics, Elsevier, vol. 14(3).
  7. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  8. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2018. "Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 655-674, August.
  9. Zein Alamah & Ibrahim AlSoussy & Ali Fakih, 2023. "The Role of International Research Collaboration and Faculty Related Factors in Publication Citations: Evidence from Lebanon," Economies, MDPI, vol. 11(3), pages 1-24, March.
  10. Reingewertz, Yaniv & Lutmar, Carmela, 2018. "Academic in-group bias: An empirical examination of the link between author and journal affiliation," Journal of Informetrics, Elsevier, vol. 12(1), pages 74-86.
  11. Uddin, Shahadat & Khan, Arif, 2016. "The impact of author-selected keywords on citation counts," Journal of Informetrics, Elsevier, vol. 10(4), pages 1166-1177.
  12. Yaşar Tonta & Müge Akbulut, 2020. "Does monetary support increase citation impact of scholarly papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1617-1641, November.
  13. Yifan Qian & Wenge Rong & Nan Jiang & Jie Tang & Zhang Xiong, 2017. "Citation regression analysis of computer science publications in different ranking categories and subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1351-1374, March.
  14. Ke, Qing, 2020. "The citation disadvantage of clinical research," Journal of Informetrics, Elsevier, vol. 14(1).
  15. Hanssen, Thor-Erik Sandberg & Jørgensen, Finn, 2015. "The value of experience in research," Journal of Informetrics, Elsevier, vol. 9(1), pages 16-24.
  16. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
  17. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender differences in science: the case of scientific productivity in Nano Science & Technology during 2005–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 457-472, January.
  18. Jonathan M. Levitt & Mike Thelwall, 2016. "Long term productivity and collaboration in information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1103-1117, September.
  19. Akella, Akhil Pandey & Alhoori, Hamed & Kondamudi, Pavan Ravikanth & Freeman, Cole & Zhou, Haiming, 2021. "Early indicators of scientific impact: Predicting citations with altmetrics," Journal of Informetrics, Elsevier, vol. 15(2).
  20. Stefano Mammola & Diego Fontaneto & Alejandro Martínez & Filipe Chichorro, 2021. "Impact of the reference list features on the number of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 785-799, January.
  21. Dehdarirad, Tahereh & Nasini, Stefano, 2017. "Research impact in co-authorship networks: a two-mode analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 371-388.
  22. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
  23. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
  24. Yu-Wei Chang, 2021. "Characteristics of high research performance authors in the field of library and information science and those of their articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3373-3391, April.
  25. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
  26. Fahimeh Ghasemian & Kamran Zamanifar & Nasser Ghasem-Aqaee & Noshir Contractor, 2016. "Toward a better scientific collaboration success prediction model through the feature space expansion," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 777-801, August.
  27. Guoqiang Liang & Haiyan Hou & Xiaodan Lou & Zhigang Hu, 2019. "Qualifying threshold of “take-off” stage for successfully disseminated creative ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1193-1208, September.
  28. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
  29. Jonathan M. Levitt, 2015. "What is the optimal number of researchers for social science research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 213-225, January.
  30. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
  31. Elizabeth S. Vieira, 2023. "The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3555-3579, June.
  32. Confraria, Hugo & Mira Godinho, Manuel & Wang, Lili, 2017. "Determinants of citation impact: A comparative analysis of the Global South versus the Global North," Research Policy, Elsevier, vol. 46(1), pages 265-279.
  33. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
  34. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "The relationship between the number of authors of a publication, its citations and the impact factor of the publishing journal: Evidence from Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 746-761.
  35. Huang, Mu-Hsuan & Chang, Yu-Wei, 2018. "Multi-institutional authorship in genetics and high-energy physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 549-558.
  36. Yaxue Ma & Zhichao Ba & Yuxiang Zhao & Jin Mao & Gang Li, 2021. "Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7051-7085, August.
  37. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
  38. Fan, Lingxu & Guo, Lei & Wang, Xinhua & Xu, Liancheng & Liu, Fangai, 2022. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 16(4).
  39. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
  40. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
  41. Lanu Kim & Jason H. Portenoy & Jevin D. West & Katherine W. Stovel, 2020. "Scientific journals still matter in the era of academic search engines and preprint archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1218-1226, October.
  42. Basma Albanna & Julia Handl & Richard Heeks, 2021. "Publication outperformance among global South researchers: An analysis of individual-level and publication-level predictors of positive deviance," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8375-8431, October.
  43. Tong, Tong & Wang, Wanru & Ye, Fred Y., 2024. "A complement to the novel disruption indicator based on knowledge entities," Journal of Informetrics, Elsevier, vol. 18(2).
  44. Kaile Gong & Juan Xie & Ying Cheng & Vincent Larivière & Cassidy R. Sugimoto, 2019. "The citation advantage of foreign language references for Chinese social science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1439-1460, September.
  45. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
  46. Bornmann, Lutz, 2019. "Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A mult," Journal of Informetrics, Elsevier, vol. 13(1), pages 170-184.
  47. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
  48. Liu, Jialin & Chen, Hongkan & Liu, Zhibo & Bu, Yi & Gu, Weiye, 2022. "Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis," Journal of Informetrics, Elsevier, vol. 16(3).
  49. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
  50. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
  51. Arkady Margolis & Viktoria Ponomareva & Marina Sorokova, 2020. "The Russian Hirsch: Predictors of Citation Usage of Scholarly Works in the RSCI," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 230-255.
  52. Yezhu Wang & Yundong Xie & Dong Wang & Lu Guo & Rongting Zhou, 2022. "Do cover papers get better citations and usage counts? An analysis of 42 journals in cell biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3793-3813, July.
  53. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
  54. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.
  55. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
  56. Lindahl, Jonas, 2018. "Predicting research excellence at the individual level: The importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematicians," Journal of Informetrics, Elsevier, vol. 12(2), pages 518-533.
  57. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
  58. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
  59. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
  60. Brady D. Lund & Sanjay Kumar Maurya, 2020. "The relationship between highly-cited papers and the frequency of citations to other papers within-issue among three top information science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2491-2504, December.
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