Valentin Shehtman

487 citations
28 papers · 198 · h-index 8

Impact in

Papers in

Valentin Shehtman

25 papers receiving 162 citations

Peers

Valentin Shehtman
Comparison fields: 5 of 22
  • Computational Theory and Mathematics 105
  • Theoretical Computer Science 7
  • Artificial Intelligence 173
  • Signal Processing 19
  • Computer Networks and Communications 40
Replace Matthieu Sozeau with:
Matthieu Sozeau France
Jan Johannsen Germany
Patrick Cégielski France
Alexander Chagrov Russia
Miodrag Rašković Serbia
S. K. Thomason Canada
V. Stoltenberg-Hansen Sweden
Joe Hurd United Kingdom
Fairouz Kamareddine United Kingdom
John Longley United Kingdom
Valentin Shehtman relative to Matthieu Sozeau France Matthieu Sozeau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Valentin Shehtman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 3 scholars most cited alongside Valentin Shehtman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valentin Shehtman Line = papers co-authored together Valentin Shehtman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199939
2 199319
3 198319
4 200218
5
Quantification in Nonclassical Logic
201318
6 199315
7 200514
8 200211
9 19866
10
On neighbourhood semantics thirty years later
20055
11 19905
12
Filtration via Bisimulation
20044
13 20134
14
Quantification in Nonclassical Logic (Studies in Logic and the Foundations of Mathematics)
20073
15
Algorithmic aspects of propositional tense logics.
19953
16
On Strong Neighbourhood Completeness of Modal and Intermediate Propositional Logics (Part~I).
19963
17 20142
18 20222
19 20112
20
Completeness and incompleteness in first-order modal logic: an overview
20061

About Valentin Shehtman

Valentin Shehtman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 28 papers that have together received 198 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (21 papers), Advanced Algebra and Logic (15 papers), Logic, programming, and type systems (12 papers), Semantic Web and Ontologies (4 papers), Multi-Agent Systems and Negotiation (4 papers), Constraint Satisfaction and Optimization (3 papers), Computability, Logic, AI Algorithms (2 papers) and Relativity and Gravitational Theory (1 paper). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Theoretical Computer Science (7 citations), Artificial Intelligence (173 citations), Signal Processing (19 citations) and Computer Networks and Communications (40 citations). Valentin Shehtman has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Dov M. Gabbay, Michael Gabbay and Alexander Chagrov. Their work appears in journals such as Studia Logica, Russian Mathematical Surveys, Annals of Pure and Applied Logic, Journal of Logic Language and Information 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.

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