Computational and Mathematical Organization Theory

Papers
(The median citation count of Computational and Mathematical Organization Theory is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Drone strikes and radicalization: an exploration utilizing agent-based modeling and data applied to Pakistan51
Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots14
Social cybersecurity in 2023: a review of the 16th annual SBP-BRiMS conference12
Shaping digital workspaces: how organizational social media design and functionality shape employee interaction8
Modeling and analyzing network dynamics of COVID-19 vaccine information propagation in the Chinese Sina Microblog8
Homophilic relations in a formal organization6
Editorial of the Special Issue from WorldCIST'206
Characterizing the roles of preference homophily and network structure on outcomes of consensus games5
What can simulation test beds teach us about social science? Results of the ground truth program4
Correction: Democratic resilience and sociotechnical shocks4
Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping4
Simulating the impact of social resource shortages on involution competition: involution, sit-up, and lying-flat strategies3
The dynamic effects of transformational leadership on employee retention and employability over time: an agent-based model3
A comparative analysis of the ethics of gene editing: ChatGPT vs. Bard3
Integrating individual and social learning: accuracy and evolutionary viability3
Investigating the use of belief-bias to measure acceptance of false information3
Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure2
Simplicity of rumor self-organization revealed by unstable eigenvectors and amplitudes2
#WhatIsDemocracy: finding key actors in a Chinese influence campaign2
280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data2
Democratic resilience and sociotechnical shocks2
VSM-ACTR 2: a human-like decision making model with metacognition for manufacturing solutions2
Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds2
Differences between antisemitic and non-antisemitic English language tweets2
Random or preferential? Evolutionary mechanism of user behavior in co-creation community2
Sensitivity analysis of agent-based models: a new protocol2
The Ground Truth program: simulations as test beds for social science research methods1
Social distance “nudge:” a context aware mHealth intervention in response to COVID pandemics1
Comparison of online maneuvers by authentic and inauthentic local news organizations1
Preventing and managing technical knowledge loss in firms: insights from invulnerability analysis of technical knowledge network1
Misogynistic targeting of women in power predicts broader online harassment patterns1
Fake or not? Automated detection of COVID-19 misinformation and disinformation in social networks and digital media1
The “chanification” of white supremacist extremism1
Coronavirus pandemic analysis and information transmission: media hype, media coverage, infodemic, and the spread of misinformation1
The impact of absorptive capacity on technology integration in cross-border M&As: from the perspective of technology transfer1
Analysis of internal and external risks in basketball club operations under the "Double Reduction" policy and exploration of a multi-dimensional collaborative governance model1
Applications of agent-based modeling and simulation in organization management: a quarter-century review through bibliometric mapping (1998–2022)1
Role of knowledge management in the development of effective strategic business planning for organizations1
Connecting the domains: an investigation of internet domains found in Covid-19 conspiracy tweets1
0.89554810523987