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Junwen Luo
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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
312019
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
122021
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
122020
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
102019
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
72021
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
52022
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
32021
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
32020
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
32015
The balancing role of evaluation mechanisms: cases of publicly funded research institutions: MPG, HGF, and CAS
J Luo
12016
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
12010
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
2022
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
The Balancing Role of Evaluation into Organizational Governance
J Luo, G Ordóñez-Matamoros, S Kuhlmann
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