Predicting scientific success

Regularization and Variable Selection Via the Elastic Net

Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957

An index to quantify an individual’s scientific research output

Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669

Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias

Dwan, K., Altman, D. G., Arnaiz, J. A., Bloom, J., Chan, A.-W., Cronin, E., Decullier, E., Easterbrook, P. J., Von Elm, E., Gamble, C., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003081 · Cited by 1,546

Race, Ethnicity, and NIH Research Awards

Ginther, D. K., Schaffer, W. T., Schnell, J. D., Masimore, B., Liu, F., Laurel, H., & Kington, R. S. (2011) · Science · doi:10.1126/science.1196783 · Cited by 1,084

Does the h index have predictive power?

Hirsch, J. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707962104 · Cited by 980

h-Index: A review focused in its variants, computation and standardization for different scientific fields

Alonso, S., Cabrerizo, F. J., Herrera‐Viedma, E., & Herrera, F. (2009) · Journal of Informetrics · doi:10.1016/j.joi.2009.04.001 · Cited by 841

Measuring Nepotism through Shared Last Names: The Case of Italian Academia

Allesina, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021160 · Cited by 88

Editorial: Bibliometrics

Chapman, N. R. (2014) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2014.2333552 · Cited by 2

On the Impact of Academic Factors on Scholar Popularity: A Cross-Area Study

Figueira, P., Pacheco, G., Almeida, J. M., & Gonçalves, M. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24592-8_11 · Cited by 1

Use of scientific social networking to improve the research strategies of PubMed readers

Евдокимов, П. В., Kudryavtsev, A., Ilgisonis, E. V., Ponomarenko, E. A., & Lisitsa, A. (2016) · BMC Research Notes · doi:10.1186/s13104-016-1920-y · Cited by 1

Quantitative author inputs to Earth science research publications: survey results, insights and potential applications

Ali, J. R. (2020) · Geological Magazine · doi:10.1017/s0016756820000916 · Cited by 1

Domain-Specific Scientific Impact and its Prediction

Amjad, T. (2021) · doi:10.1109/icai52203.2021.9445203 · Cited by 1

Predictive analysis of multiple future scientific impacts by embedding a heterogeneous network

Ochi, M., Shiro, M., Mori, J., & Sakata, I. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274253 · Cited by 1

Should research success be predicted amongst medical students and junior doctors?

Gowda, A., Bacchi, S., Kovoor, J. G., Gupta, A. K., Maddern, G. J., & Chan, W. O. (2023) · ANZ Journal of Surgery · doi:10.1111/ans.18460 · Cited by 1

Measuring science in our highly digitized world

Manolopoulos, Y., & Katsaros, D. (2018) · Panhellenic Conference on Informatics · doi:10.1145/3291533.3291547 · Cited by 1

Predicting the impact of online news articles – is information necessary?

Preiss, J. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11621-5 · Cited by 1

Metrics: a fetish for high-profile journals

Rousseau, R., & Hu, X. (2012) · Nature · doi:10.1038/490343b · Cited by 1

Metrics: a long-term threat to society

Blicharska, M., & Mikusiński, G. (2012) · Nature · doi:10.1038/490343a · Cited by 1

Supplementary Materials for Quantifying Long-Term Scientific Impact

Wang, D., Song, C., & Barabási, A.-Ĺ. (2013) · Cited by 1

Web of Science: showing a bug today that can mislead scientific research output's predictionPreprint

Batista, P. D., Marques-Carneiro, I., Fauth, L. H. D. A., & Brandão, M. D. O. R. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1611.01548 · Cited by 1

Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning ApproachPreprint

Zhao, Q. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2009.02647 · Cited by 1

Escalafones, factores e índices bibliométricos de las revistas biosanitarias de España: ¿es suficiente el factor de impacto?

Criado‐Álvarez, J. J., González, J. G., & Barrientos, C. R. (2014) · Revista Clínica de Medicina de Familia · doi:10.4321/s1699-695x2014000300012

Metrics: allow more gradual progress

Cintas, P. (2012) · Nature · doi:10.1038/490343c

Scientific Monitoring by Mining Scientific Papers

Bertin, M. (2014) · International Conference on Management of Emergent Digital EcoSystems (MEDES) · doi:10.1145/2668260.2668306

Unequal opportunities in science: expanding our perspectives

David, M. (2013) · Ideas in Ecology and Evolution · doi:10.4033/iee.2013.6.13.f

Algunos aspectos del artículo científico en la Revista Peruana de Biología

Romero, L. (2015) · Revista Peruana de Biología · doi:10.15381/rpb.v22i3.11431

Divinations of academic success may be flawed

Gibney, E. (2013) · Nature · doi:10.1038/nature.2013.14113

A method to evaluate utility for architectural comparisons for a campaign to explore the surface of Mars

Ward, E. D., Webb, R. R., & Weck, O. L. D. (2016) · Acta Astronautica · doi:10.1016/j.actaastro.2016.07.022

Subject Indexing for Author Name Disambiguation: Opportunities and Challenges

Hedeler, C., Kempf, A. O., & Steinberg, J. (2016) · Studies in classification, data analysis, and knowledge organization · doi:10.1007/978-3-319-25226-1_55

Läpinäkyvyyttä kilpailuun tutkimusrahoituksesta

Oksanen, A., & Räsänen, P. (2016) · Tieteessä tapahtuu

"Ciupercile" de gazete (Journals as "mushrooms")

Popa, V., & Éliade, M. (2014)

Are Research Networks Worth the Time for Graduate Students?

Lamothe, K. A., Bourne, V., Chin, A. T. M., Daoust, K., Dieleman, C. M., Dallaire, C. O., & Tomscha, S. A. (2018) · Bulletin of the Ecological Society of America · doi:10.1002/bes2.1413

Bibliometric Epilogue: Measuring the Works of D.R.T. Zahn

Schreiber, M. (2019) · physica status solidi (b) · doi:10.1002/pssb.201800748

Characteristics and Evolution of Citation Distance Based on LDA Method

Li, B., Wang, Y., Li, X., Chen, Q., Bao, J.-Z., & Zheng, T. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-34387-3_37

Common Laws Driving the Success in Show Business

Wu, C., Feng, Z., Zheng, J., & Zhang, H. (2020) · Computational Intelligence and Neuroscience · doi:10.1155/2020/8842221

A signal detection theoretic demonstration of hiring rate asymmetries in competitive academic job marketsPreprint

Miuccio, M., Liu, K., Lau, H. C., & Peters, M. A. K. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/061200

On the Predictability of Utilizing Rank Percentile to Evaluate Scientific ImpactPreprint

Tian, S., & Ipeirotis, P. G. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.16025

Vers la reconnaissance de la valeur du don

Aubert, N. S., Bonnet, M., Deville, A., & Grevin, A. (2022) · Presses universitaires de Provence eBooks · doi:10.4000/books.pup.56663

Bibliographie générale

(2022) · Presses universitaires de Provence eBooks · doi:10.4000/books.pup.57517

Hedgehogs, Foxes, and the Global Science Ecosystem: Decoding Universities’ Research Profiles across Fields with Nested Ecological Networks.Preprint

Gomez, C., Lieberman, D., & Mäkinen, E. I. (2022) · doi:10.31235/osf.io/89g7u

Medical Journalism

Raffelsbauer, D., & Gilliver, S. C. (2012) · Medical Writing · doi:10.1179/2047480612z.00000000080

Usando redes complexas e processamento de línguas naturais para caracterizar e classificar itens científicos

Tohalino, J. A. V. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2023.tde-11042023-090221

Conservative adventurers have more future academic impact

Yang, X., Ke, Z., Xiao, X., Ke, Q., Gao, F., & Zhang, H. (2026) · Scientometrics · doi:10.1007/s11192-026-05722-x · Cited by 1

Do the paper’s connections to existing work disclose its citation impact? A study based on graph representation learning

Luo, Z., He, J., Qian, J., Wang, Y., & Lu, W. P. (2023) · Journal of Information Science · doi:10.1177/01655515231191213

Move Analysis in Ph.D. Theses Abstracts: Comparing Native and Non-Native Corpora

Ramlan, A. N. M., Shah, N. K. M., & Aziz, A. A. A. (2023) · European Proceedings of Educational Sciences · doi:10.15405/epes.23097.51

Leveraging Researchgate For Increased Collaboration Among Lis Researchers

Omehia, A. E. (2023) · i-manager s Journal on Information Technology · doi:10.26634/jit.12.2.20066

Identificação de Acadêmicos Promissores de Sucesso Científico através de Programação Linear Inteira

Batista, A. D. A., & Mena‐Chalco, J. P. (2019) · Anais do Simpósio Brasileiro de Pesquisa Operacional · doi:10.59254/sbpo-2019-106977

Investigating Interdisciplinary Research Impact: A Framework for Integrating Linguistic and Citation Information

Ochi, M., Shiro, M., Mori, J., & Sakata, I. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-4613-5_9

A Critical Analysis of Current World Population Studies

Clemente, C. S. (2025) · World Review of Political Economy · doi:10.13169/worlrevipoliecon.16.2.0002

Identifying Vital Nodes by Local g-Core on Symmetric Networks

Wang, L. (2025) · Symmetry · doi:10.3390/sym17060925

Institutional Hierarchy and Asymmetry in Brazilian Computer Science Faculty Hiring Network

Guilarducci, A. F., Vasconcelos, I. L. L., Luz, E. J. D. S., & Freitas, V. L. S. (2025) · Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) · doi:10.5753/brasnam.2025.8934

Career-long data outperforms recent data in predicting the publication success of physicists

Dantas, I. C., Batista, A. D. A., Coutinho, L., & Mena‐Chalco, J. P. (2025) · Transinformação · doi:10.1590/2318-0889202537e2515056

Mapping the Scientific Evolution of Peyronie’s Disease: A Bibliometric and Machine Learning Analysis

Şimşek, A., Kırdar, M., GÖRGÜ, N., Başer, A., Bingöl, G., & Kesgin, K. (2025) · Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi · doi:10.46413/boneyusbad.1763692

Collaborative relationships, disciplinary and global culture, social identity and scientific status shape how scholars cite prior work

Xia, X., Ouellet, M., Patankar, S. P., Stallworthy, I. C., Brynildsen, J. K., Tamir, D., & Bassett, D. S. (2026) · Communications Psychology · doi:10.1038/s44271-026-00450-7 · Cited by 1

Learning Influence Representations : Methods and Applciations

Panagopoulos, G. (2022) · theses.fr (ABES) · doi:10.70675/65214704z4e83z48f4z9808z92688b66c2da

C-PRISM: Complexity-informed profile for research impact and scholarly merit

Raina, S. K., Kumar, R., & Kaushal, K. (2026) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_2287_25

Publication time valid prediction of citation risk outcomes in a bounded clinical specialty literature corpusPreprint

Chung, S., Kahi, C. J., & Singh, S. (2026) · Research Square · doi:10.21203/rs.3.rs-9772079/v1

Does the h index have predictive power?

Hirsch, J. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707962104 · Cited by 980

Divinations of academic success may be flawed

Gibney, E. (2013) · Nature · doi:10.1038/nature.2013.14113

Future publication success in science is better predicted by traditional measures than by the h index

Hönekopp, J., & Khan, J. (2011) · Scientometrics · doi:10.1007/s11192-011-0551-2 · Cited by 25

Will This Paper Increase Your h-index?

Dong, Y., Johnson, R. A., & Chawla, N. V. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23461-8_26 · Cited by 14

Metrics: a long-term threat to society

Blicharska, M., & Mikusiński, G. (2012) · Nature · doi:10.1038/490343a · Cited by 1