Valentin Shehtman
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Signal Processing
- Geometry and Topology
- Co-authors
- Dov M. GabbayMichael GabbayAlexander Chagrov
- Topics
- Logic, Reasoning, and Knowledge (21 papers)Advanced Algebra and Logic (15 papers)Logic, programming, and type systems (12 papers)
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Valentin Shehtman
25 papers receiving 161 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 175
- Computational Theory and Mathematics 105
- Computer Networks and Communications 42
- Signal Processing 18
- Geometry and Topology 7
Countries citing papers authored by Valentin Shehtman
This map shows the geographic impact of Valentin Shehtman'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 Valentin Shehtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Shehtman more than expected).
Fields of papers citing papers by Valentin Shehtman
This network shows the impact of papers produced by Valentin Shehtman. 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 Valentin Shehtman. The network helps show where Valentin Shehtman may publish in the future.
Co-authorship network of co-authors of Valentin Shehtman
This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Shehtman. A scholar is included among the top collaborators of Valentin Shehtman 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 Valentin Shehtman. Valentin Shehtman 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 | Local tabularity without transitivity. | 1 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Canonical filtrations and local tabularity | 0 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | On modal logics of Hamming spaces | 1 |
| 9 | 1 | |
| 10 | Quantification in Nonclassical Logic (Studies in Logic and the Foundations of Mathematics) | 3 |
| 11 | Completeness and incompleteness in first-order modal logic: an overview | 1 |
| 12 | 14 | |
| 13 | Filtration via Bisimulation | 4 |
| 14 | 19 | |
| 15 | 1 | |
| 16 | Algorithmic aspects of propositional tense logics. | 3 |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 20 |
About Valentin Shehtman
Valentin Shehtman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Geography, Planning and Development, having authored 28 papers that have together received 200 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (21 papers), Advanced Algebra and Logic (15 papers) and Logic, programming, and type systems (12 papers). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Theoretical Computer Science (7 citations) and Artificial Intelligence (175 citations). Valentin Shehtman has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Dov M. Gabbay, Michael Gabbay and Alexander Chagrov. Their work appears in journals such as Circulation, Lecture notes in computer science and Russian Mathematical Surveys.
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.