Leo Bachmair

77 total papers · 3.3k total citations
33 papers, 701 citations indexed

About

Leo Bachmair is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Leo Bachmair has authored 33 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Leo Bachmair's work include Logic, programming, and type systems (18 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (11 papers). Leo Bachmair is often cited by papers focused on Logic, programming, and type systems (18 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (11 papers). Leo Bachmair collaborates with scholars based in United States, Germany and France. Leo Bachmair's co-authors include Harald Ganzinger, Nachum Dershowitz, Uwe Waldmann, David A. Plaisted, Jieh Hsiang, Wayne Snyder, Christopher S. Lynch, Ashish Tiwari, Bruno Buchberger and Laurent Vigneron and has published in prestigious journals such as Journal of the ACM, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Leo Bachmair

33 papers receiving 631 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Leo Bachmair	634	458	84	48	41	33	701
Jonathan Stavi	597 0.9×	520 1.1×	67 0.8×	81 1.7×	18 0.4×	20	845
Jonathan P. Seldin	669 1.1×	514 1.1×	42 0.5×	25 0.5×	30 0.7×	26	760
Hugo Herbelin	741 1.2×	561 1.2×	124 1.5×	68 1.4×	66 1.6×	26	836
Roberto M. Amadio	682 1.1×	438 1.0×	230 2.7×	46 1.0×	134 3.3×	31	772
R. D. Tennent	656 1.0×	367 0.8×	146 1.7×	80 1.7×	92 2.2×	37	745
Tarmo Uustalu	636 1.0×	420 0.9×	89 1.1×	52 1.1×	65 1.6×	85	697
Paliath Narendran	611 1.0×	577 1.3×	76 0.9×	41 0.9×	40 1.0×	72	741
Yves Bertot	611 1.0×	471 1.0×	123 1.5×	137 2.9×	110 2.7×	33	784
Annabelle McIver	686 1.1×	557 1.2×	144 1.7×	158 3.3×	66 1.6×	58	834
Steven Homer	415 0.7×	480 1.0×	67 0.8×	10 0.2×	17 0.4×	53	660

Countries citing papers authored by Leo Bachmair

Since Specialization

Citations

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

Fields of papers citing papers by Leo Bachmair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Bachmair

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

All Works

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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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