John DeTreville

18 total papers · 409 total citations
10 papers, 222 citations indexed

About

John DeTreville is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, John DeTreville has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in John DeTreville's work include Distributed systems and fault tolerance (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Formal Methods in Verification (2 papers). John DeTreville is often cited by papers focused on Distributed systems and fault tolerance (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Formal Methods in Verification (2 papers). John DeTreville collaborates with scholars based in United States, United Kingdom and Canada. John DeTreville's co-authors include W.D. Sincoskie, Christopher Small, Andrew Warfield, Yvonne Coady, Peter Druschel, Kimberly Keeton, Thu D. Nguyen and Joseph M. Hellerstein and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, ACM SIGPLAN Notices and ACM SIGSOFT Software Engineering Notes.

In The Last Decade

John DeTreville

9 papers receiving 192 citations

Author Peers

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

Author						Papers	Cites
John DeTreville	126	111	102	64	31	10	222
Nicodemos Damianou	135 1.1×	159 1.4×	165 1.6×	158 2.5×	16 0.5×	7	288
J. Linn	141 1.1×	134 1.2×	86 0.8×	101 1.6×	14 0.5×	16	254
David A. Cooper	132 1.0×	106 1.0×	67 0.7×	58 0.9×	48 1.5×	15	250
Håkon Wium Lie	42 0.3×	207 1.9×	40 0.4×	77 1.2×	47 1.5×	8	303
Daniel S. Dantas	172 1.4×	117 1.1×	25 0.2×	133 2.1×	21 0.7×	10	278
Japinder Singh	171 1.4×	106 1.0×	45 0.4×	90 1.4×	22 0.7×	9	304
Marc Rennhard	233 1.8×	184 1.7×	40 0.4×	56 0.9×	15 0.5×	15	284
Katriel Cohn-Gordon	118 0.9×	104 0.9×	24 0.2×	89 1.4×	10 0.3×	8	182
Marit Köhntopp	232 1.8×	125 1.1×	117 1.1×	73 1.1×	40 1.3×	7	309
Deborah Shands	125 1.0×	69 0.6×	72 0.7×	62 1.0×	44 1.4×	11	185

Countries citing papers authored by John DeTreville

Since Specialization

Citations

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

Fields of papers citing papers by John DeTreville

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John DeTreville

This figure shows the co-authorship network connecting the top 25 collaborators of John DeTreville. A scholar is included among the top collaborators of John DeTreville 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 John DeTreville. John DeTreville 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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