David W. Etherington

32 total papers · 1.1k total citations
23 papers, 602 citations indexed

About

David W. Etherington is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, David W. Etherington has authored 23 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in David W. Etherington's work include Logic, Reasoning, and Knowledge (16 papers), Semantic Web and Ontologies (11 papers) and Logic, programming, and type systems (5 papers). David W. Etherington is often cited by papers focused on Logic, Reasoning, and Knowledge (16 papers), Semantic Web and Ontologies (11 papers) and Logic, programming, and type systems (5 papers). David W. Etherington collaborates with scholars based in United States, Canada and Israel. David W. Etherington's co-authors include Raymond Reiter, Robert E. Mercer, Alex Borgida, Mukesh Dalal, James M. Crawford, Donald Perlis, Sarit Kraus, Ronald J. Brachman, Henry Kautz and Vladimir Lifschitz and has published in prestigious journals such as Artificial Intelligence, AI Magazine and Information Processing Letters.

In The Last Decade

David W. Etherington

20 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
David W. Etherington	563	189	92	28	13	23	602
Wiktor Marek	495 0.9×	223 1.2×	67 0.7×	39 1.4×	9 0.7×	23	563
Chiaki Sakama	626 1.1×	147 0.8×	78 0.8×	11 0.4×	10 0.8×	63	678
Carlos Areces	532 0.9×	245 1.3×	109 1.2×	17 0.6×	12 0.9×	65	562
Paolo Liberatore	552 1.0×	193 1.0×	131 1.4×	27 1.0×	7 0.5×	54	612
Ian A. Mason	487 0.9×	260 1.4×	240 2.6×	14 0.5×	15 1.2×	22	634
J. I. Zucker	383 0.7×	400 2.1×	67 0.7×	10 0.4×	8 0.6×	35	520
Reino Kurki-Suonio	313 0.6×	302 1.6×	173 1.9×	25 0.9×	11 0.8×	37	536
Richard A. Games	302 0.5×	183 1.0×	80 0.9×	35 1.3×	31 2.4×	35	499
Jean‐Marc Andreoli	548 1.0×	344 1.8×	149 1.6×	11 0.4×	9 0.7×	25	643
Alain Colmerauer	441 0.8×	241 1.3×	286 3.1×	90 3.2×	21 1.6×	20	618

Countries citing papers authored by David W. Etherington

Since Specialization

Citations

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

Fields of papers citing papers by David W. Etherington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Etherington

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