| Competition, differentiation, and the severity of terrorist attacks J Conrad, K Greene The Journal of Politics 77 (2), 546-561, 2015 | 138 | 2015 |
| Rebel natural resource exploitation and conflict duration JM Conrad, KT Greene, JI Walsh, BE Whitaker Journal of Conflict Resolution 63 (3), 591-616, 2019 | 60 | 2019 |
| Human rights are (increasingly) plural: Learning the changing taxonomy of human rights from large-scale text reveals information effects B Park, K Greene, M Colaresi American Political Science Review 114 (3), 888-910, 2020 | 35 | 2020 |
| Machine learning human rights and wrongs: How the successes and failures of supervised learning algorithms can inform the debate about information effects KT Greene, B Park, M Colaresi Political Analysis 27 (2), 223-230, 2019 | 32 | 2019 |
| Competition from within: Ethnicity, power, and militant group rivalry J Conrad, KT Greene, BJ Phillips, S Daly Defence and Peace Economics 32 (6), 757-772, 2021 | 9 | 2021 |
| Beyond a bag of words: Using PULSAR to extract judgments on specific human rights at scale B Park, M Colaresi, K Greene Peace Economics, Peace Science and Public Policy 24 (4), 20180030, 2018 | 9 | 2018 |
| Move It or Lose It: Introducing Pseudo-Earth Mover Divergence as a Context-sensitive Metric for Evaluating and Improving Forecasting and Prediction Systems K Greene, H Hegre, F Hoyles, M Colaresi Barcelona School of Economics Summer Forum, 2019 | 7 | 2019 |
| Where is conflict research? Western bias in the literature on armed violence BJ Phillips, KT Greene International Studies Review 24 (3), viac038, 2022 | 6 | 2022 |
| Using impression data to improve models of online social influence R Liu, KT Greene, R Liu, M Mandic, BA Valentino, S Vosoughi, ... Scientific reports 11 (1), 16613, 2021 | 5 | 2021 |
| How to teach machines to read human rights reports and identify judgments at scale B Park, K Greene, M Colaresi Journal of Human Rights 19 (1), 99-116, 2020 | 5 | 2020 |
| Once more, with feeling: using sentiment analysis to improve models of relationships between non-state actors KT Greene, C Lucas International Interactions 46 (1), 150-162, 2020 | 4 | 2020 |
| Measuring the monetization strategies of websites with application to pro-and anti-vaccine communities DA Broniatowski, KT Greene, N Pisharody, DJ Rogers, JN Shapiro Scientific reports 13 (1), 15964, 2023 | 3* | 2023 |
| Understanding the timing of Chinese border incursions into India KT Greene, C Tornquist, R Fokkink, R Lindelauf, VS Subrahmanian Humanities and Social Sciences Communications 8 (1), 1-8, 2021 | 3 | 2021 |
| Partisan Differences in the Sharing of Low-Quality News Sources by US Political Elites KT Greene Political Communication, 1-20, 2024 | 2* | 2024 |
| Rising tension in the Himalayas: A geospatial analysis of Chinese border incursions into India JT Brethouwer, R Fokkink, K Greene, R Lindelauf, C Tornquist, ... PloS one 17 (11), e0274999, 2022 | 2 | 2022 |
| Using Website Referrals to Identify Misinformation Rabbit Holes KT Greene, M Pereira, N Pisharody, R Dodhia, JL Ferres, JN Shapiro OSF Preprints 13, 2023 | 1 | 2023 |
| Introducing ViNSAR: Dyadic Data on Violent Non-state Actor Rivalry J Conrad, KT Greene, BJ Phillips Journal of Conflict Resolution, 00220027231208708, 2023 | | 2023 |
| Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic M Pereira, K Greene, N Pisharody, R Dodhia, JN Shapiro, J Lavista arXiv preprint arXiv:2307.13180, 2023 | | 2023 |
| Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and ISIS Y Chen, C Gao, D Gartenstein-Ross, KT Greene, K Kalif, S Kraus, F Parisi, ... IEEE Transactions on Computational Social Systems, 2022 | | 2022 |
