| Twitter mood predicts the stock market J Bollen, H Mao, X Zeng Journal of computational science 2 (1), 1-8, 2011 | 7295 | 2011 |
| ChatGPT: five priorities for research EAM van Dis, J Bollen, W Zuidema, R van Rooij, CL Bockting Nature 614, 224-226, 2023 | 1415 | 2023 |
| Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena J Bollen, H Mao, A Pepe Proceedings of the international AAAI conference on web and social media 5 …, 2011 | 1275 | 2011 |
| Co-authorship networks in the digital library research community X Liu, J Bollen, ML Nelson, H Van de Sompel Information processing & management 41 (6), 1462-1480, 2005 | 1247 | 2005 |
| A principal component analysis of 39 scientific impact measures J Bollen, H Van de Sompel, A Hagberg, R Chute PloS one 4 (6), e6022, 2009 | 797 | 2009 |
| Computational fact checking from knowledge networks GL Ciampaglia, P Shiralkar, LM Rocha, J Bollen, F Menczer, A Flammini PloS one 10 (6), e0128193, 2015 | 619 | 2015 |
| Van de Sompel, H J Bollen Hagberg, A. Bettencourt, L. Chute, R. Rodriguez, MA et al, 2009 | 488 | 2009 |
| More tweets, more votes: Social media as a quantitative indicator of political behavior J DiGrazia, K McKelvey, J Bollen, F Rojas PloS one 8 (11), e79449, 2013 | 474 | 2013 |
| How the scientific community reacts to newly submitted preprints: Article downloads, twitter mentions, and citations X Shuai, A Pepe, J Bollen PloS one 7 (11), e47523, 2012 | 404 | 2012 |
| Happiness is assortative in online social networks J Bollen, B Gonçalves, G Ruan, H Mao Artificial life 17 (3), 237-251, 2011 | 401 | 2011 |
| Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena J Bollen, A Pepe, H Mao arXiv preprint arXiv:0911.1583, 2009 | 368 | 2009 |
| Journal Status J Bollen, M Rodriguez, HV de Sompel Scientometrics 69 (3), 669-687, 2006 | 357 | 2006 |
| Toward alternative metrics of journal impact: A comparison of download and citation data J Bollen, H Van de Sompel, JA Smith, R Luce Information processing & management 41 (6), 1419-1440, 2005 | 335 | 2005 |
| Twitter mood as a stock market predictor J Bollen, H Mao Computer 44 (10), 91-94, 2011 | 327 | 2011 |
| Clickstream data yields high-resolution maps of science J Bollen, H Van de Sompel, A Hagberg, L Bettencourt, R Chute, ... PloS one 4 (3), e4803, 2009 | 318 | 2009 |
| Social media insights into US mental health during the COVID-19 pandemic: Longitudinal analysis of Twitter data D Valdez, M Ten Thij, K Bathina, LA Rutter, J Bollen Journal of medical Internet research 22 (12), e21418, 2020 | 286 | 2020 |
| Predicting financial markets: Comparing survey, news, twitter and search engine data H Mao, S Counts, J Bollen arXiv preprint arXiv:1112.1051, 2011 | 266 | 2011 |
| Usage bibliometrics MJ Kurtz, J Bollen arXiv preprint arXiv:1102.2891, 2011 | 235 | 2011 |
| Usage impact factor: The effects of sample characteristics on usage‐based impact metrics J Bollen, H Sompel Journal of the American Society for Information Science and technology 59 (1 …, 2008 | 171 | 2008 |
| The World-Wide Web as a Super-Brain: from metaphor to model F Heylighen, J Bollen in: Cybernetics and Systems' 96 R. Trappl (ed.),(Austrian Society for …, 1996 | 168 | 1996 |
Herbert Van de SompelDANS & Ghent UniversityVerified email at dans.knaw.nl
