| Models of social influence: Towards the next frontiers A Flache, M Mäs, T Feliciani, E Chattoe-Brown, G Deffuant, S Huet, ... Jasss-The journal of artificial societies and social simulation 20 (4), 2, 2017 | 609 | 2017 |
| A scoping review of simulation models of peer review T Feliciani, J Luo, L Ma, P Lucas, F Squazzoni, A Marušić, K Shankar Scientometrics, 1-40, 2019 | 42 | 2019 |
| How, When and Where can Spatial Segregation Induce Opinion Polarization? Two Competing Models T Feliciani, A Flache, J Tolsma Journal of Artificial Societies and Social Simulation 20 (2), 6, 2017 | 36 | 2017 |
| Analyzing sentiments in peer review reports: Evidence from two science funding agencies J Luo, T Feliciani, M Reinhart, J Hartstein, V Das, O Alabi, K Shankar Quantitative Science Studies 2 (4), 1271-1295, 2021 | 19 | 2021 |
| How to evaluate ex ante impact of funding proposals? An analysis of reviewers’ comments on impact statements L Ma, J Luo, T Feliciani, K Shankar Research Evaluation 29 (4), 431-440, 2020 | 19* | 2020 |
| Persuasion without polarization? Modelling persuasive argument communication in teams with strong faultlines T Feliciani, A Flache, M Mäs Computational and Mathematical Organization Theory 27, 61-92, 2021 | 18 | 2021 |
| Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model T Feliciani, M Morreau, J Luo, P Lucas, K Shankar Research Policy 51 (4), 104467, 2022 | 14 | 2022 |
| Bias and truth in science evaluation: a simulation model of grant review panel discussions. AM Bethencourt, J Luo, T Feliciani ROMCIR@ ECIR, 16-24, 2021 | 3 | 2021 |
| Investigating social phenomena with agent-based models P Lucas, T Feliciani Research Handbook on Digital Sociology, 146-160, 2023 | 2 | 2023 |
| Peer reviewer topic choice and its impact on interrater reliability: A mixed-method study T Feliciani, J Luo, K Shankar Quantitative Science Studies 3 (3), 832-856, 2022 | 2 | 2022 |
| Grade language heterogeneity in simulation models of peer review T Feliciani, R Moorthy, P Lucas, K Shankar University of Surrey, 2020 | 2 | 2020 |
| Effects of Groups’ Spatial Segregation on Processes of Opinion Polarization T Feliciani, A Flache Eleventh Conference of the European Social Simulation Association, 64, 2015 | 2 | 2015 |
| Are We Done Yet? or When is Our Model Perfect (Enough)? A Mertens, T Feliciani, S Heidari, PO Siebers, F Dignum Conference of the European Social Simulation Association, 285-290, 2019 | 1 | 2019 |
| Divided Spaces and Divided Opinions: Modeling the Impact of Residential Segregation on Opinion Polarization T Feliciani | | 2025 |
| Funding lotteries for research grant allocation: An extended taxonomy and evaluation of their fairness T Feliciani, J Luo, K Shankar Research Evaluation 33, rvae025, 2024 | | 2024 |
| Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation T Feliciani, J Tolsma, A Flache Journal of Computational Social Science 6 (2), 877-921, 2023 | | 2023 |
| Building a Data-Driven Model of Peer Review: The Case of Science Foundation Ireland T Feliciani, P Lucas, J Luo, K Shankar Conference of the European Social Simulation Association, 223-227, 2019 | | 2019 |
| Challenges of designing and implementing simulation models of peer review T Feliciani, P Lucas, J Luo, K Shankar | | 2019 |
| The cyclical nature of corruption: modeling how corruption comes about, diffuses, and declines P Lodetti, T Feliciani Conferenza Nazionale delle Dottorande e dei Dottorandi di Scienze Sociali …, 2017 | | 2017 |
| PRIMA 2016: Principles and Practice of Multi-Agent Systems: 19th International Conference, Phuket, Thailand, August 22-26, 2016, Proceedings M Baldoni, AK Chopra, TC Son, K Hirayama, P Torroni Springer, 2016 | | 2016 |