Andrei Paskevich

1.1k total citations
12 papers, 58 citations indexed

About

Andrei Paskevich is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Andrei Paskevich has authored 12 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 2 papers in Software. Recurrent topics in Andrei Paskevich's work include Logic, programming, and type systems (10 papers), Formal Methods in Verification (8 papers) and Logic, Reasoning, and Knowledge (5 papers). Andrei Paskevich is often cited by papers focused on Logic, programming, and type systems (10 papers), Formal Methods in Verification (8 papers) and Logic, Reasoning, and Knowledge (5 papers). Andrei Paskevich collaborates with scholars based in France, China and Switzerland. Andrei Paskevich's co-authors include Jean-Christophe Filliâtre, Claude Marché, François Bobot, Thomas Wies, Xavier Urbain, Sylvain Conchon, Évelyne Contejean and José Proença and has published in prestigious journals such as Lecture notes in computer science, Journal of Automated Reasoning and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Andrei Paskevich

10 papers receiving 55 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrei Paskevich France	5	46	33	12	11	10	12	58
Samuel Mimram France	5	44 1.0×	47 1.4×	10 0.8×	7 0.6×	11 1.1×	18	87
François Bobot France	5	40 0.9×	37 1.1×	7 0.6×	19 1.7×	13 1.3×	7	60
Norbert Schirmer Germany	5	49 1.1×	27 0.8×	14 1.2×	11 1.0×	21 2.1×	10	68
Leander Tentrup Germany	5	50 1.1×	59 1.8×	10 0.8×	25 2.3×	19 1.9×	10	80
Yoad Lustig United States	4	32 0.7×	36 1.1×	7 0.6×	9 0.8×	9 0.9×	8	48
Jan Strejček Czechia	5	36 0.8×	39 1.2×	10 0.8×	27 2.5×	9 0.9×	21	69
Sascha Böhme Germany	6	97 2.1×	72 2.2×	11 0.9×	11 1.0×	10 1.0×	8	106
David Nowak Japan	5	55 1.2×	44 1.3×	7 0.6×	7 0.6×	7 0.7×	11	68
Ondřej Lengál Czechia	5	52 1.1×	26 0.8×	25 2.1×	14 1.3×	17 1.7×	18	65
Soonho Kong United States	5	27 0.6×	33 1.0×	10 0.8×	19 1.7×	7 0.7×	10	60

Countries citing papers authored by Andrei Paskevich

Since Specialization

Citations

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

Fields of papers citing papers by Andrei Paskevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Paskevich

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Proença, José & Andrei Paskevich. (2021). Proceedings of the 6th Workshop on Formal Integrated Development Environment. Electronic Proceedings in Theoretical Computer Science. 338. 1 indexed citations

2.

Marché, Claude, et al.. (2019). Deductive verification with ghost monitors. Proceedings of the ACM on Programming Languages. 4(POPL). 1–26. 2 indexed citations

3.

Conchon, Sylvain, et al.. (2018). Reasoning with Triggers. EPiC series in computing. 20. 22–11.

4.

Wies, Thomas & Andrei Paskevich. (2017). Verified Software. Theories, Tools, and Experiments. Lecture notes in computer science. 6 indexed citations

5.

Paskevich, Andrei, et al.. (2016). Evidential Paradigm as Formal Knowledge Presentation and Processing.. ICTERI. 25–32.

6.

Filliâtre, Jean-Christophe, et al.. (2016). The spirit of ghost code. Formal Methods in System Design. 48(3). 152–174. 8 indexed citations

7.

Conchon, Sylvain, et al.. (2015). Adding Decision Procedures to SMT Solvers Using Axioms with Triggers. Journal of Automated Reasoning. 56(4). 387–457. 7 indexed citations

8.

Filliâtre, Jean-Christophe, et al.. (2014). Formalizing Semantics with an Automatic Program Verifier. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

9.

Bobot, François, Jean-Christophe Filliâtre, Claude Marché, & Andrei Paskevich. (2014). Let’s verify this with Why3. International Journal on Software Tools for Technology Transfer. 17(6). 709–727. 15 indexed citations

10.

Contejean, Évelyne, et al.. (2010). A3PAT, an approach for certified automated termination proofs. SPIRE - Sciences Po Institutional REpository. 63–72. 13 indexed citations

11.

Paskevich, Andrei. (2007). Connection Tableaux with Lazy Paramodulation. Journal of Automated Reasoning. 40(2-3). 179–194. 4 indexed citations

12.

Paskevich, Andrei, et al.. (2006). The SAD System: Deductive Assistance in an Intelligent Linguistic Environment. 814. 361–366. 1 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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