Bryan Wilder

2.9k total citations · 1 hit paper
48 papers, 1.0k citations indexed

About

Bryan Wilder is a scholar working on Sociology and Political Science, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Bryan Wilder has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Artificial Intelligence and 10 papers in Modeling and Simulation. Recurrent topics in Bryan Wilder's work include COVID-19 epidemiological studies (10 papers), Complex Network Analysis Techniques (8 papers) and Homelessness and Social Issues (7 papers). Bryan Wilder is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Complex Network Analysis Techniques (8 papers) and Homelessness and Social Issues (7 papers). Bryan Wilder collaborates with scholars based in United States, United Kingdom and Canada. Bryan Wilder's co-authors include Milind Tambe, Michael J. Mina, Evan Lester, James A. Hay, Roy Parker, Soraya I. Shehata, Daniel B. Larremore, James M. Burke, Bistra Dilkina and Eric Rice and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Science Advances.

In The Last Decade

Bryan Wilder

44 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening

2021 565 citations Bryan Wilder, Milind Tambe et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bryan Wilder United States	12	509	244	224	139	119	48	1.0k
Lucía Russo Italy	11	197 0.4×	47 0.2×	550 2.5×	330 2.4×	74 0.6×	22	1.2k
Ye Wu China	19	118 0.2×	38 0.2×	211 0.9×	39 0.3×	160 1.3×	117	1.4k
Jalal S. Alowibdi Saudi Arabia	16	172 0.3×	31 0.1×	209 0.9×	27 0.2×	363 3.1×	39	1.4k
Anel Nurtay United Kingdom	5	492 1.0×	58 0.2×	920 4.1×	43 0.3×	104 0.9×	5	1.6k
Antoine Allard Canada	19	146 0.3×	22 0.1×	409 1.8×	152 1.1×	81 0.7×	64	1.5k
Padmanabhan Seshaiyer United States	16	90 0.2×	62 0.3×	172 0.8×	33 0.2×	24 0.2×	80	642
Christopher L. Barrett United States	15	292 0.6×	16 0.1×	716 3.2×	92 0.7×	87 0.7×	60	1.8k
Mohamed M. Dessouky Egypt	15	172 0.3×	42 0.2×	205 0.9×	41 0.3×	161 1.4×	41	1.2k
Maoxing Liu China	20	51 0.1×	31 0.1×	317 1.4×	90 0.6×	48 0.4×	83	918

Countries citing papers authored by Bryan Wilder

Since Specialization

Citations

This map shows the geographic impact of Bryan Wilder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bryan Wilder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Wilder more than expected).

Fields of papers citing papers by Bryan Wilder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Wilder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bryan Wilder. The network helps show where Bryan Wilder may publish in the future.

Co-authorship network of co-authors of Bryan Wilder

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Wilder. A scholar is included among the top collaborators of Bryan Wilder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan Wilder. Bryan Wilder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tambe, Milind, et al.. (2025). The Next Wave of AI for Social Impact: Challenges and Opportunities. IEEE Intelligent Systems. 40(3). 23–27. 1 indexed citations

Rosenfeld, Roni, et al.. (2025). Federated epidemic surveillance. PLoS Computational Biology. 21(4). e1012907–e1012907. 1 indexed citations

Rumack, Aaron, et al.. (2025). Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data. PLoS Computational Biology. 21(2). e1012717–e1012717.

Shah, Sanket, et al.. (2024). Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14902–14909. 2 indexed citations

Krishnamurti, Tamar, et al.. (2024). Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data. Archives of Women s Mental Health. 27(6). 1019–1031. 9 indexed citations

Chen, Haipeng, Bryan Wilder, Wei Qiu, et al.. (2023). Complex Contagion Influence Maximization: A Reinforcement Learning Approach. 5531–5540. 2 indexed citations

Wilder, Bryan, et al.. (2020). Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. Adaptive Agents and Multi-Agents Systems. 575–583. 9 indexed citations

Wilder, Bryan, Graham DiGuiseppi, Robin Petering, et al.. (2020). Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. arXiv (Cornell University). 35(17). 14948–14956. 1 indexed citations

Wilder, Bryan, et al.. (2019). Learning policies for Social network discovery with Reinforcement learning.. arXiv (Cornell University). 1 indexed citations

10.

Wilder, Bryan, et al.. (2019). End to end learning and optimization on graphs. arXiv (Cornell University). 32. 4672–4683. 5 indexed citations

11.

Wilder, Bryan, et al.. (2019). Decision-Focused Learning of Adversary Behavior in Security Games. arXiv (Cornell University). 1 indexed citations

12.

Wilder, Bryan & Yevgeniy Vorobeychik. (2018). Controlling Elections through Social Influence. arXiv (Cornell University). 265–273. 5 indexed citations

13.

Wilder, Bryan, et al.. (2018). Optimizing Network Structure for Preventative Health. Adaptive Agents and Multi-Agents Systems. 841–849. 11 indexed citations

14.

Wilder, Bryan, José María Luna, Nicole Wilson, et al.. (2018). End-to-End Influence Maximization in the Field. Adaptive Agents and Multi-Agents Systems. 1414–1422. 11 indexed citations

15.

Wilder, Bryan, Nicole Immorlica, Eric Rice, & Milind Tambe. (2017). Influence Maximization with an Unknown Network by Exploiting Community Structure.. International Joint Conference on Artificial Intelligence. 2–7. 4 indexed citations

16.

Wilder, Bryan, Amulya Yadav, Nicole Immorlica, Eric Rice, & Milind Tambe. (2017). Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. ScholarSphere (Penn State Libraries). 1305–1313. 24 indexed citations

17.

Yadav, Amulya, Bryan Wilder, Eric Rice, et al.. (2017). Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. Adaptive Agents and Multi-Agents Systems. 150–158. 19 indexed citations

18.

González, Avelino J., et al.. (2017). AI in Informal Science Education: Bringing Turing Back to Life to Perform the Turing Test. International Journal of Artificial Intelligence in Education. 27(2). 353–384. 21 indexed citations

19.

González, Avelino J., et al.. (2016). Remembering a Conversation – A Conversational Memory Architecture for Embodied Conversational Agents. Journal of Intelligent Systems. 26(1). 1–21. 4 indexed citations

20.

Wilder, Bryan & Anne Kandler. (2015). Inference of Cultural Transmission Modes Based on Incomplete Information. Human Biology. 87(3). 193–193. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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