Samir Chopra
- Artificial Intelligence top 5%
- Safety Research top 5%
- Computational Theory and Mathematics top 10%
- Sociology and Political Science
- Cognitive Neuroscience
- Co-authors
- Laurence WhiteRohit ParikhScott DexterThomas MeyerAditya GhosePavlos PeppasNorman FooMary‐Anne Williams
- Topics
- Logic, Reasoning, and Knowledge (15 papers)Bayesian Modeling and Causal Inference (9 papers)Multi-Agent Systems and Negotiation (9 papers)
- Partner nations
- United StatesAustraliaGreece
In The Last Decade
Samir Chopra
35 papers receiving 389 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 240
- Safety Research 82
- Computational Theory and Mathematics 55
- Sociology and Political Science 47
- Cognitive Neuroscience 46
Countries citing papers authored by Samir Chopra
This map shows the geographic impact of Samir Chopra'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 Samir Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Chopra more than expected).
Fields of papers citing papers by Samir Chopra
This network shows the impact of papers produced by Samir Chopra. 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 Samir Chopra. The network helps show where Samir Chopra may publish in the future.
Co-authorship network of co-authors of Samir Chopra
This figure shows the co-authorship network connecting the top 25 collaborators of Samir Chopra. A scholar is included among the top collaborators of Samir Chopra 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 Samir Chopra. Samir Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 30 | |
| 3 | Missile Detection by Ultrasonic and Auto Destroy System | 1 |
| 4 | 98 | |
| 5 | 4 | |
| 6 | Artificial Agents and the Contracting Problem: A Solution Via an Agency Analysis | 9 |
| 7 | 5 | |
| 8 | Using artificial intelligence to help bridge students from high school to college | 1 |
| 9 | Building bridges: the 2006 summer institute | 8 |
| 10 | 19 | |
| 11 | Decoding Liberation: A Philosophical Investigation of Free Software | 5 |
| 12 | Privacy and artificial agents, or, is Google reading my email? | 6 |
| 13 | Attribution of knowledge to artificial agents and their principals | 2 |
| 14 | Artificial agents - personhood in law and philosophy | 35 |
| 15 | A unifying semantics for belief change | 6 |
| 16 | 8 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | An Inconsistency Tolerant Model for Belief Representation and Belief Revision | 17 |
About Samir Chopra
Samir Chopra is a scholar working on Computer Science Applications, Safety Research and Artificial Intelligence, having authored 38 papers that have together received 436 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (15 papers), Bayesian Modeling and Causal Inference (9 papers) and Multi-Agent Systems and Negotiation (9 papers). The work is most often cited by research in Safety Research (82 citations), Computer Science Applications (41 citations) and Artificial Intelligence (240 citations). Samir Chopra has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Laurence White, Rohit Parikh, Scott Dexter, Thomas Meyer, Aditya Ghose, Pavlos Peppas, Norman Foo, Mary‐Anne Williams, Richard Booth and Norman I. Badler. Their work appears in journals such as Communications of the ACM, Artificial Intelligence and Information Fusion.
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.