Andrew Silva

450 total citations
17 papers, 207 citations indexed

About

Andrew Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Andrew Silva has authored 17 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Andrew Silva's work include Explainable Artificial Intelligence (XAI) (6 papers), Reinforcement Learning in Robotics (6 papers) and Topic Modeling (4 papers). Andrew Silva is often cited by papers focused on Explainable Artificial Intelligence (XAI) (6 papers), Reinforcement Learning in Robotics (6 papers) and Topic Modeling (4 papers). Andrew Silva collaborates with scholars based in United States, Canada and United Kingdom. Andrew Silva's co-authors include Matthew Gombolay, Nakul Gopalan, Pradyumna Tambwekar, Mariah Schrum, Sonia Chernova, Siddhartha Banerjee, Grace Gombolay, Dorsa Sadigh, Dusan Sarenac and David G. Cory and has published in prestigious journals such as Journal of Vision, IEEE Robotics and Automation Letters and International Journal of Human-Computer Interaction.

In The Last Decade

Andrew Silva

16 papers receiving 199 citations

Peers

Andrew Silva

CVPR

CSE

Hengshuai Yao Canada

Rahul Iyer United States

Serena Booth United States

Clemens Wiltsche United Kingdom

Jeffrey W. Tweedale Australia

Yao Rong Germany

Éloi Zablocki France

Michael W. Floyd United States

Yasaman Khazaeni United States

Yiannis Gatsoulis United Kingdom

Hengshuai Yao Canada

Andrew Silva

111 ×0.9

16 ×0.4

26 ×1.0

CVPR

33 ×1.4

CSE

11 ×0.5

Citations per year, relative to Andrew Silva Andrew Silva (= 1×) peers Hengshuai Yao

Countries citing papers authored by Andrew Silva

Since Specialization

Citations

This map shows the geographic impact of Andrew Silva'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 Andrew Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Silva more than expected).

Fields of papers citing papers by Andrew Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Silva. 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 Andrew Silva. The network helps show where Andrew Silva may publish in the future.

Co-authorship network of co-authors of Andrew Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Silva. A scholar is included among the top collaborators of Andrew Silva 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 Andrew Silva. Andrew Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Pushin, D. A., Andrew Silva, Premjeet Chahal, et al.. (2025). Characterizing the circularly oriented macular pigment using spatiotemporal sensitivity to structured light entoptic phenomena. Journal of Vision. 25(6). 11–11.

Srivastava, Megha, Yuchen Cui, Deepak Gopinath, et al.. (2025). Shared Autonomy for Proximal Teaching. 232–241. 1 indexed citations

Silva, Andrew, Pradyumna Tambwekar, Mariah Schrum, & Matthew Gombolay. (2024). Towards Balancing Preference and Performance through Adaptive Personalized Explainability. ArXiv.org. 658–668. 5 indexed citations

Gombolay, Grace, et al.. (2024). Effects of explainable artificial intelligence in neurology decision support. Annals of Clinical and Translational Neurology. 11(5). 1224–1235. 6 indexed citations

Silva, Andrew, Pradyumna Tambwekar, & Matthew Gombolay. (2023). FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. 869–882. 1 indexed citations

Tambwekar, Pradyumna, Andrew Silva, Nakul Gopalan, & Matthew Gombolay. (2023). Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics and Automation Letters. 8(6). 3621–3628. 4 indexed citations

Silva, Andrew, et al.. (2022). Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. International Journal of Human-Computer Interaction. 39(7). 1390–1404. 50 indexed citations

Silva, Andrew, et al.. (2022). Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Autonomous Agents and Multi-Agent Systems. 36(2). 30 indexed citations

Silva, Andrew, et al.. (2022). Learning Interpretable, High-Performing Policies for Autonomous Driving. 9 indexed citations

10.

Silva, Andrew, Pradyumna Tambwekar, & Matthew Gombolay. (2021). Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. 2383–2389. 32 indexed citations

11.

Silva, Andrew & Matthew Gombolay. (2021). Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 5042–5050. 21 indexed citations

12.

Silva, Andrew, et al.. (2021). LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics and Automation Letters. 7(2). 1635–1642. 14 indexed citations

13.

Silva, Andrew, et al.. (2020). Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. International Conference on Artificial Intelligence and Statistics. 1855–1865. 18 indexed citations

14.

Silva, Andrew & Sonia Chernova. (2019). Unsupervised Role Discovery Using Temporal Observations of Agents. Adaptive Agents and Multi-Agents Systems. 1627–1634. 1 indexed citations

15.

Silva, Andrew & Matthew Gombolay. (2019). ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning.. arXiv (Cornell University). 3 indexed citations

16.

Silva, Andrew, et al.. (2019). Personalized Apprenticeship Learning from Heterogeneous Decision-Makers.. arXiv (Cornell University). 1 indexed citations

17.

Banerjee, Siddhartha, Andrew Silva, & Sonia Chernova. (2018). Robot Classification of Human Interruptibility and a Study of Its Effects. ACM Transactions on Human-Robot Interaction. 7(2). 1–35. 11 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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