David Van Horn

121 total papers · 1.3k total citations
46 papers, 542 citations indexed

About

David Van Horn is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, David Van Horn has authored 46 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 11 papers in Hardware and Architecture. Recurrent topics in David Van Horn's work include Logic, programming, and type systems (30 papers), Formal Methods in Verification (22 papers) and Parallel Computing and Optimization Techniques (11 papers). David Van Horn is often cited by papers focused on Logic, programming, and type systems (30 papers), Formal Methods in Verification (22 papers) and Parallel Computing and Optimization Techniques (11 papers). David Van Horn collaborates with scholars based in United States, Belgium and Mexico. David Van Horn's co-authors include Matthew Might, Giuseppina Montante, Alessandro Paglianti, Harry G. Mairson, Yannis Smaragdakis, Kemper Lewis, Sam Tobin-Hochstadt, Andrew Olewnik, Christian Skalka and Scott F. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Chemical Engineering Science.

In The Last Decade

David Van Horn

43 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
David Van Horn	272	134	118	117	116	46	542
Steve Reeves	303 1.1×	179 1.3×	144 1.2×	16 0.1×	181 1.6×	86	570
Aleksandar Milićević	111 0.4×	66 0.5×	230 1.9×	140 1.2×	172 1.5×	46	564
Kenji Tei	188 0.7×	30 0.2×	39 0.3×	28 0.2×	89 0.8×	84	462
Jing Wang	178 0.7×	95 0.7×	21 0.2×	22 0.2×	50 0.4×	69	539
S. S. Tseng	273 1.0×	50 0.4×	11 0.1×	52 0.4×	83 0.7×	30	474
Fan Zhang	134 0.5×	58 0.4×	48 0.4×	13 0.1×	93 0.8×	39	517
Christos Tsigkanos	188 0.7×	54 0.4×	103 0.9×	13 0.1×	169 1.5×	48	564
Daniel Clancy	286 1.1×	85 0.6×	87 0.7×	28 0.2×	56 0.5×	61	603
Eunkyoung Jee	94 0.3×	105 0.8×	168 1.4×	58 0.5×	123 1.1×	45	514
Anand Kumar	81 0.3×	33 0.2×	65 0.6×	38 0.3×	81 0.7×	56	499

Countries citing papers authored by David Van Horn

Since Specialization

Citations

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

Fields of papers citing papers by David Van Horn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Van Horn. 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 David Van Horn. The network helps show where David Van Horn may publish in the future.

Co-authorship network of co-authors of David Van Horn

This figure shows the co-authorship network connecting the top 25 collaborators of David Van Horn. A scholar is included among the top collaborators of David Van Horn 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 David Van Horn. David Van Horn 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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