| A scoping review of simulation models of peer review T Feliciani, J Luo, L Ma, P Lucas, F Squazzoni, A Marušić, K Shankar Scientometrics 121, 555-594, 2019 | 42 | 2019 |
| 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 | 17 | 2020 |
| 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 |
| The balancing role of evaluation mechanisms in organizational governance—The case of publicly funded research institutions J Luo, G Ordóñez-Matamoros, S Kuhlmann Research evaluation 28 (4), 344-354, 2019 | 11 | 2019 |
| Does the inclusion of non-academic reviewers make any difference for grant impact panels? J Luo, L Ma, K Shankar Science and Public Policy 48 (6), 763-775, 2021 | 10 | 2021 |
| 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 |
| How to evaluate ex ante impact? An analysis of reviewers’ comments on impact statements in grant applications L Ma, J Luo, T Feliciani, K Shankar Oxford University Press, 2020 | 3 | 2020 |
| Aggregated Governance by R&D Evaluation Mechanism—Case Study of Chinese Academy of Sciences J Luo, G Ordónez–Matamoros, S Kuhlmann Asian Research Policy 6 (1), 56-72, 2015 | 3 | 2015 |
| 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 |
| The balancing role of evaluation mechanisms: cases of publicly funded research institutions: MPG, HGF, and CAS J Luo | 1 | 2016 |
| Analysis on impact factors of anti-poverty ability oriented fiscal poverty alleviation standard S Wang, J Luo 2010 International Conference on E-Product E-Service and E-Entertainment, 1-4, 2010 | 1 | 2010 |
| 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 |
| Challenges of designing and implementing simulation models of peer review T Feliciani, P Lucas, J Luo, K Shankar | | 2019 |
| Document Analysis of Peer Review Criteria and Process in Science Foundation Ireland1 L Ma, J Luo, K Shankar, P Lucas STI 2018 Conference Proceedings, 82-84, 2018 | | 2018 |
| The balancing role of evaluation in organizational governance: an international comparison of publicly funded research institutions J Luo, S Kuhlmann, G Ordónez-Matamoros Eu-SPRI Annual Conference 2014: Science and Innovation Policy: Dynamics …, 2014 | | 2014 |
| Peer Reviews’ Prediction in Proposals’ Funding Success: A Sentiment Analysis of Grant Reviews J Luo, O Alabi, T Feliciani, P Lucas, K Shankar | | |
| Does social influence matter in peer review? T Feliciani, K Shankar, P Lucas, J Luo | | |
| Building a Data-Driven Model of Peer Review: The Case of Science Foundation Ireland T Feliciani, P Lucas, J Luo, K Shankar Advances in Social Simulation: Proceedings of the 15th Social Simulation …, 0 | | |
| Thomas Feliciani thomas. feliciani@ ucd. ie P Lucas, J Luo, K Shankar Modeling Organizational and Institutional Complexity-Fourth Agent-Based …, 0 | | |
Kalpana ShankarUniversity College DublinDirección de correo verificada de ucd.ie