Rajeev Goré
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Information Systems
- Software
- Co-authors
- Alwen TiuLinh Anh NguyenPietro AbateMichael ComptonZhé HóuStéphane DemriTobias NipkowNguyen Khoi Tran
- Topics
- Logic, Reasoning, and Knowledge (31 papers)Logic, programming, and type systems (26 papers)Semantic Web and Ontologies (16 papers)
In The Last Decade
Rajeev Goré
51 papers receiving 255 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 266
- Computational Theory and Mathematics 180
- Computer Networks and Communications 19
- Information Systems 13
- Software 12
Countries citing papers authored by Rajeev Goré
This map shows the geographic impact of Rajeev Goré'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 Rajeev Goré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Goré more than expected).
Fields of papers citing papers by Rajeev Goré
This network shows the impact of papers produced by Rajeev Goré. 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 Rajeev Goré. The network helps show where Rajeev Goré may publish in the future.
Co-authorship network of co-authors of Rajeev Goré
This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Goré. A scholar is included among the top collaborators of Rajeev Goré 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 Rajeev Goré. Rajeev Goré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bi-Intuitionistic Logics: A New Instance of an Old Problem. | 5 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Advances in Modal Logic, Volume 10 | 0 |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | Optimal Tableaux for Propositional Dynamic Logic with Converse | 2 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | Cut-elimination and proof-search for bi-intutionistic logic using nested sequents | 15 |
| 15 | 10 | |
| 16 | Data editing and logic | 2 |
| 17 | Proceedings of the First International Joint Conference on Automated Reasoning | 4 |
| 18 | System Description: lean K 2.0. | 1 |
| 19 | 17 | |
| 20 | 4 |
About Rajeev Goré
Rajeev Goré is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture, having authored 52 papers that have together received 284 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (31 papers), Logic, programming, and type systems (26 papers) and Semantic Web and Ontologies (16 papers). The work is most often cited by research in Computational Theory and Mathematics (180 citations), Artificial Intelligence (266 citations) and Software (12 citations). Rajeev Goré has collaborated with scholars based in Australia, France and Japan. Frequent co-authors include Alwen Tiu, Linh Anh Nguyen, Pietro Abate, Michael Compton, Zhé Hóu, Stéphane Demri, Tobias Nipkow, Nguyen Khoi Tran, Jemma Wu and Eiji Okamoto. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science and Journal of Symbolic Logic.
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.