Predicting scientific success

Cited by (250)

Items 101–200 of 250

1. Predicting publication productivity for researchers: A piecewise Poisson model
   Zheng yu Xie · 2020 · Journal of Informetrics
2. Early-Career Setback and Future Career Impact
   Yang Wang, Benjamin F. Jones, Dashun Wang · 2019 · SSRN Electronic Journal
3. Genetic algorithms and G aussian B ayesian networks to uncover the predictive core set of bibliometric indices
   Alfonso Ibáñez, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga · 2015 · Journal of the Association for Information Science and Technology
4. An ARIMA-based study of bibliometric index prediction
   Yanhui Song, Jiayi Cao · 2021 · Aslib Journal of Information Management
5. Does early publishing in top journals really predict long-term scientific success in the business field?
   Li Hou, Qiang Wu, Yundong Xie · 2022 · Scientometrics
6. Gender Disparities in Academic Radiology Authorship: A 13-Year Review
   Nicholas Xiao, Rocio Marquez Karry, Diego F. M. Oliveira, Senta Berggruen, Jeanne M. Horowitz · 2022 · Academic Radiology
7. A variant of the h‐index to measure recent performance
   Michael Schreiber · 2015 · Journal of the Association for Information Science and Technology
8. Early Prediction of Scholar Popularity
   Masoumeh Nezhadbiglari, Marcos André Gonçalves, Jussara Marques Almeida · 2016 · ACM/IEEE Joint Conference on Digital Libraries
9. Is research in peril in Nepal? Publication trend and research quality from projects funded by the University Grants Commission-Nepal
   Prakash Kumar Paudel, Basant Giri, Shanta Dhakal · 2020 · Accountability in Research
10. Collegiality versus Competition: How Metrics Shape Scientific Communities
    Sujay S. Kaushal, Jonathan M. Jeschke · 2013 · BioScience
11. Factors affecting scholarly performance by wildlife and fisheries faculty
    Robert K. Swihart, Mekala Sundaram, Tomas O. Höök, J. Andrew DeWoody · 2016 · Journal of Wildlife Management
12. A genealogical approach to academic success
    Mignon Wuestman, Koen Frenken, Iris Wanzenböck · 2020 · PLoS ONE
13. Comparison of theh-Index Scores Among Pathogens Identified as Emerging Hazards in North America
    R. Cox, K. Marie McIntyre, Javier Sánchez, Christian Setzkorn, Matthew Baylis, Crawford W. Revie · 2014 · Transboundary and Emerging Diseases
14. A method for predicting citations to the scientific publications of individual researchers
    Peter Zsolt Revesz · 2014 · International Database Engineering and Applications Symposium (IDEAS)
15. Epistemic Standards for Participatory Technology Assessment: Suggestions Based Upon Well-Ordered Science
    Juan M. Durán, Zachary Pirtle · 2020 · Science and Engineering Ethics
16. On predicting research grants productivity via machine learning
    Jorge A. V. Tohalino, Diego R. Amancio · 2022 · Journal of Informetrics
17. Reflection of successful anticancer drug development processes in the literature
    Fabian Heinemann, Torsten Huber, Christian Meisel, Markus Bundschus, Ulf Leser · 2016 · Drug Discovery Today
18. Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction
    Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao · 2019 · IEEE Access
19. Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation
    Hao Lü, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera‐Viedma · 2020 · IEEE Transactions on Intelligent Transportation Systems
20. Collaboration Signatures Reveal Scientific Impact
    Yuxiao Dong, Reid A. Johnson, Yang Yang, Nitesh V. Chawla · 2015 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
21. Analyzing the relationship between text features and grants productivity
    Jorge A. V. Tohalino, Laura V. C. Quispe, Diego R. Amancio · 2021 · Scientometrics
22. Robustness of journal rankings by network flows with different amounts of memory
    Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti, Martin Rosvall · 2015 · Journal of the Association for Information Science and Technology
23. scholar: Analyse Citation Data from Google Scholar
    Guangchuang Yu, James E. Keirstead, Gregory S.X.E. Jefferis · 2013
24. Social impact assessment of scientist from mainstream news and weblogs
    Mohan Timilsina, Waqas Khawaja, Brian Davis, Mike Taylor, Conor Hayes · 2017 · Social Network Analysis and Mining
25. Can’t We Do Better? A cost-benefit analysis of proposal writing in a competitive funding environment
    Gerald Schweiger · 2023 · PLoS ONE
26. Análisis de productividad, impacto e índice h de la investigación en Comunicación a través de los perfiles personales en Google Académico
    José Miguel Túñez López, Yolanda Martínez Solana, Karina Paola Valarezo González · 2014 · Revista Latina de Comunicación Social
27. A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
    Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang · 2020 · arXiv (Cornell University)
28. Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences?
    Daniel Ernesto Acuna, Li-Zhen Liang · 2021 · AAAI/ACM Conference on AI, Ethics, and Society
29. Antithrombotic Therapy after Deep Venous Intervention
    Nicholas Xiao, MATTHEW D. GENET, Minhaj S. Khaja, Kush R Desai · 2022 · Seminars in Interventional Radiology
30. Relationship between early-career collaboration among researchers and future funding success in Japanese academia
    Sho Tsugawa, Takuya Kanetsuki, Junichi Sugihara · 2022 · PLoS ONE
31. Reporting in Experimental Philosophy: Current Standards and Recommendations for Future Practice
    A. Polonioli, M. Vega-Mendoza, Brittany Blankinship, D. Carmel · 2018 · Review of Philosophy and Psychology
32. Predicting the future impact of Computer Science researchers: Is there a gender bias?
    Matthias Kuppler · 2022 · Scientometrics
33. The impact of gender and perceived academic supervisory support on new faculty negotiation success
    John Edward Fiset, Maria Carolina Saffie Robertson · 2019 · Higher Education Quarterly
34. Predicting the impact and publication date of individual scientists’ future papers
    Yuhao Zhou, Ruijie Wang, An Zeng · 2022 · Scientometrics
35. Early-Career Coordinated Distributed Experiments: Empowerment Through Collaboration
    Ada Pastor, Elena Hernández‐del Amo, Pau Giménez‐Grau, Mireia Fillol, Olatz Pereda, Lorea Flores, Isis Sanpera-Calbet, Andrea G. Bravo, Eduardo J. Martín, Sílvia Poblador et al. · 2020 · Frontiers in Education
36. Unveiling citation peaks: How innovation faces delayed recognition in science
    Renli Wu, Wenxuan Shi · 2025 · Information Processing & Management
37. Characterizing scholar popularity: A case study in the Computer Science research community
    Glauber Dias Gonçalves, Flávio Figueiredo, Jussara Marques Almeida, Marcos André Gonçalves · 2014 · ACM/IEEE Joint Conference on Digital Libraries
38. Data Mining Citation Databases
    Peter Zsolt Revesz · 2014 · International Database Engineering and Applications Symposium (IDEAS)
39. Moneyball for Academics: Network Analysis for Predicting Research Impact
    Dimitris Bertsimas, Erik Brynjolfsson, Shachar Reichman, John Silberholz · 2014 · SSRN Electronic Journal
40. Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics
    Rodrigo Dorantes-Gilardi, Aurora Alejandra Ramírez-Álvarez, Diana Terrazas-Santamaría · 2023 · Scientometrics
41. The construct validity of theh-index
    Cameron Barnes · 2016 · Journal of Documentation
42. Mitigating ageing bias in article level metrics using citation network analysis
    I Tóth, Zsolt I. Lázár, Levente Varga, Ferenc Járai-Szabó, I. Papp, Răzvan V. Florian, Mária Ercsey-Ravasz · 2020 · Journal of Informetrics
43. Hedgehogs, foxes, and global science ecosystems: Decoding universities' research profiles across fields with nested ecological networks
    Charles Gomez, Dahlia Lieberman, Elina I. Mäkinen · 2024 · Research Policy
44. Is your EPL attractive? Classification of publications through download statistics
    Olesya Mryglod, Ralph Kenna B, Yurij V. Holovatch · 2014 · Europhysics Letters (EPL)
45. The future h‐index is an excellent way to predict scientistsˈ future impact
    Daniel Ernesto Acuna, Orion Penner, Colin G. Orton · 2013 · Medical Physics
46. Performance Benchmarks for Scholarly Metrics Associated with Fisheries and Wildlife Faculty
    Robert K. Swihart, Mekala Sundaram, Tomas O. Höök, J. Andrew DeWoody, Kenneth F. Kellner · 2016 · PLoS ONE
47. “It’s Dangerous to go Alone!“ Scientific Excellence of PhD Holders and Their Mentors – Network Analysis of Croatian Doctoral Students
    Luka Bulian, Ivana Čavar, Zvonimir Mance · 2022 · Interdisciplinary Description of Complex Systems
48. Understanding the Scientific Enterprise: Citation Analysis, Data and Modeling
    Filippo Radicchi, Claudio Castellano · 2015 · Springer eBooks
49. A Prediction Method of Publication Productivity for Researchers
    Zheng yu Xie · 2020 · IEEE Transactions on Computational Social Systems
50. The Hirsch index
    Alexander F Engel · 2012 · Colorectal Disease
51. Enhancing the prediction of publications’ long-term impact using early citations, readerships, and non-scientific factors
    Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D’Angelo · 2025 · Journal of Informetrics
52. Assessing journals through a three-dimensional framework based on article citation, author and institution influence
    Ziqiang Zeng, Cuicui Jia, Weiye Zhang, Xinyi Zhuang, Xuan Li · 2024 · Journal of Information Science
53. Qualification Profile of University Professors in Business and Information Systems Engineering (BISE)
    Peter Loos, Peter Mertens, Torsten Eymann, Rudy Hirschheim, Burkhard Schwenker, Thomas Heß · 2013 · Business & Information Systems Engineering
54. Are you overpaying your academic executive team? A method for detecting unmerited academic executive compensation
    Joshua M. Pearce · 2016 · Tertiary Education and Management
55. Machine Identification of High Impact Research through Text and Image Analysis
    Marko Stamenovic, Sam Schick, Jiebo Luo · 2017 · IEEE International Conference on Multimedia Big Data
56. Predicting the Q of junior researchers using data from the first years of publication
    Antônio de Abreu Batista, Fábio Castro Gouveia, Jesús Pascual Mena‐Chalco · 2021 · Journal of Informetrics
57. A two-dimensional journal classification method based on output and input factors: perspectives from citation and authorship related indicators
    Ziqiang Zeng, Lantian Shi · 2021 · Scientometrics
58. Development of a tool to accurately predict UK REF funding allocation
    Shahd Al‐Janabi, Lee Wei Lim, Luca Aquili · 2021 · Scientometrics
59. The Impact of Grant Funding on the Publication Activity of Awarded Applicants: A Systematic Review of Comparative Studies and Meta-analytical Estimates
    R. T. Saygitov · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
60. Study on the predictability of new topics of scholars: A machine learning-based approach using knowledge networks
    Zhixiang Wu, Hucheng Jiang, Lianjie Xiao, Hao Wang, Jin Mao · 2025 · Journal of Informetrics
61. Guía para escribir un artículo científico
    Óscar Arias-Carrión · 2023 · Revista Española de Geriatría y Gerontología
62. Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
    Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang‐Tien Lu · 2024 · ACM Transactions on Knowledge Discovery from Data
63. Six-fold over-representation of graduates from prestigious universities does not necessitate unmeritocratic selection in the faculty hiring process
    Michael Miuccio, Kayuet Liu, Hakwan C. Lau, Megan A. K. Peters · 2017 · PLoS ONE
64. Individual and gender inequality in computer science: A career study of cohorts from 1970 to 2000
    Haiko Lietz, Mohsen Jadidi, Daniel Kostic, Milena Tsvetkova, Claudia Wagner · 2024 · Quantitative Science Studies
65. A Neural Learning Approach for Prediction of Research Citations Using Article Semantics
    G. S. Mahalakshmi, Selvaraju Sendhilkumar, P. Leela Jancy, K. S. Easwarakumar · 2020 · International Conference on Advanced Computing and Communication Systems (ICACCS)
66. The ‘h-index’ in Communication research in Spain, Portugal and Latin America: Web of Knowledge (WoK), Scopus and Google Scholar Metrics
    José Miguel Túñez López · 1970 · Communication & Society
67. Gender disparities in middle authorship
    Alexandra Fleischmann, Laura D. Van Berkel · 2021 · Social Psychological Bulletin
68. Predicting the Evolution of Scientific Output
    Αντωνία Γώγογλου, Yannis Manolopoulos · 2017 · Lecture notes in computer science
69. Predictability of complex systems
    En Xu, Yilin Bi, Hongwei Hu, Xin Chen, Zhiwen Yu, Yong Li, Yanqing Hu, Tao Zhou · 2026 · Physics Reports
70. Actions Speak Much Louder Than Words
    Roberto Bolli · 2014 · Circulation Research
71. La disputatio au cœur du management
    Thérèse Albertini, Delphine Bereni, S Hernandez · 2022 · Presses universitaires de Provence eBooks
72. Publishing in library and information science journals: The success of less experienced researchers
    Tove Faber Frandsen, Jeppe Nicolaisen · 2022 · Journal of Information Science
73. El idioma, como vehículo de la comunicación científica: análisis de la visibilidad e impacto de la investigación a través de la bibliometría de Google
    José Manuel de Pablos Coello, José Miguel Túñez López, Concha Mateos Martín · 2015 · Estudios sobre el Mensaje Periodístico
74. The science of progress and the progress of science
    Philip Hunter · 2013 · EMBO Reports
75. Evolution of patent citation networks
    Sergi Valverde · 2014 · Complexity in Engineering (COMPENG)
76. Science as a Social Enterprise
    Ülo Maiväli · 2015 · Elsevier eBooks
77. Choosing Collaboration Partners. How Scientific Success in Physics Depends on Network Positions
    Raphael H. Heiberger, Oliver Wieczorek · 2016 · arXiv (Cornell University)
78. Contributors to Independent Research Funding Success from the Perspective of K12 BIRCWH Program Directors
    Esther K. Choo, Shammarie Mathis, Tabria Harrod, Katherine E. Hartmann, Karen M. Freund, Marie A Krousel-Wood, Thomas E. Curry, Jeanne‐Marie Guise · 2020 · The American Journal of the Medical Sciences
79. Predicting scholar potential: a deep learning model on social capital features
    Dehu Yin, Xi Zhang, Hongke Zhao, Li Qiong Tang · 2024 · Scientometrics
80. Development of obstetrical and gynecological journals, 2007 to 2013: a trend analysis
    Christian M. Domröse, Mignon-Denise Keyver-Paik, Henning Lorenzen, Walther Christian Kuhn, Michael R. Mallmann · 2015 · Archives of Gynecology and Obstetrics
81. Predicting citation impact of research papers using GPT and other text embeddings
    Adilson Vital, Filipi N. Silva, Osvaldo N. Oliveira, Diego R. Amancio · 2025 · Physica A Statistical Mechanics and its Applications
82. Dissecting a Scholar Popularity Ranking into Different Knowledge Areas
    Gabriel Pacheco, Pablo Figueira, Jussara Marques Almeida, Marcos André Gonçalves · 2016 · Lecture notes in computer science
83. Modeling a successful citation trajectory structure for scholar's impact evaluation in Israeli academia
    Maor Weinberger, Maayan Zhitomirsky‐Geffet · 2023 · Heliyon
84. Benchmarking Scholarly Performance by Faculty in Forestry and Forest Products
    Robert K. Swihart, Mekala Sundaram, Kenneth F. Kellner, Songlin Fei · 2018 · Journal of Forestry
85. Science of science
    Santo Fortunato, Carl T. Bergstrom, Katy Börner, James A. Evans, Dirk Helbing, Staša Milojević, Alexander Michael Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi et al. · 2021 · Bibliosphere
86. Author Impact Factor: A Framework for Evaluating Authorship and Scientific Contribution
    Brian Christopher Drolet, Alan T. Makhoul · 2021 · Biostatistics Research
87. Attention-Based Multi-fusion Method for Citation Prediction
    Juefei Wang, Fuquan Zhang, Yinan Li, Donglei Liu · 2019 · Smart innovation, systems and technologies
88. A measure of success
    Kuan‐Teh Jeang · 2012 · Cell & Bioscience
89. Assessing a Researcher's Scientific Productivity and Scholarly Impact
    John Panaretos, Chrisovalantis Malesios · 2019
90. A Data-Driven Unified Framework for Predicting Citation Dynamics
    Αντωνία Γώγογλου, Yannis Manolopoulos · 2018 · IEEE Transactions on Big Data
91. Predicting publication productivity for authors: Shallow or deep architecture?
    Wumei Du, Zheng yu Xie, Yiqin Lv · 2021 · Scientometrics
92. Scientific X-ray: Scanning and quantifying the idea evolution of scientific publications
    Qi Li, Xinbing Wang, Luoyi Fu, Jianghao Wang, Ling Yao, Xiaoying Gan, Chenghu Zhou · 2022 · PLoS ONE
93. Temporal trends in academic performance and career duration of principal investigators in ecology and evolutionary biology in Taiwan
    Gen‐Chang Hsu, Wei‐Jiun Lin, Syuan‐Jyun Sun · 2023 · Scientometrics
94. Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers
    Masanao Ochi, Masanori Shiro, Junichiro Mori, Ichiro Sakata · 2023 · Lecture notes in business information processing
95. Approaches and tools to measure individual-level research experience, activities, and outcomes: A narrative review
    Brenda M. Joly, Carolyn Gray, Julia Rand, Katy Bizier, Karen B. Pearson · 2025 · Journal of Clinical and Translational Science
96. Qualifikationsprofil für Universitätsprofessoren der Wirtschaftsinformatik
    Peter Loos, Peter Mertens, Torsten Eymann, Rudy Hirschheim, Burkhard Schwenker, Thomas Heß · 2013 · WIRTSCHAFTSINFORMATIK
97. The Science of Science and a Multilayer Network Approach to Scientists' Ranking
    Georgios Sideris, Dimitrios Katsaros, Antonis Sidiropoulos, Yannis Manolopoulos · 2018 · International Database Engineering and Applications Symposium (IDEAS)
98. Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics
    Daniel Ernesto Acuna, Zijun Yi, Lizhen Liang, Han Zhuang · 2022 · Lecture notes in computer science
99. On the Measurement and Prediction of Web Content Utility
    Yuan Yao, Hanghang Tong, Feng Xu, Jian Lü · 2017 · ACM SIGKDD Explorations Newsletter
100. What makes a successful scientist in a central bank? Evidence from the RePEc database
     Jakub Pawel Rybacki, Dobromił Serwa · 2021