David Pengelley

110 total papers · 587 total citations
45 papers, 220 citations indexed

About

David Pengelley is a scholar working on Geometry and Topology, Theoretical Computer Science and Mathematical Physics. According to data from OpenAlex, David Pengelley has authored 45 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geometry and Topology, 15 papers in Theoretical Computer Science and 14 papers in Mathematical Physics. Recurrent topics in David Pengelley's work include History and Theory of Mathematics (15 papers), Algebraic structures and combinatorial models (12 papers) and Homotopy and Cohomology in Algebraic Topology (9 papers). David Pengelley is often cited by papers focused on History and Theory of Mathematics (15 papers), Algebraic structures and combinatorial models (12 papers) and Homotopy and Cohomology in Algebraic Topology (9 papers). David Pengelley collaborates with scholars based in United States and Russia. David Pengelley's co-authors include Reinhard Laubenbacher, George F. Simmons, Arthur M. Hobbs, Fred Richman, Franklin P. Peterson, Douglas S. Kurtz, Douglas C. Ravenel, Frank Williams and Desh Ranjan and has published in prestigious journals such as Transactions of the American Mathematical Society, American Mathematical Monthly and Proceedings of the American Mathematical Society.

In The Last Decade

David Pengelley

43 papers receiving 179 citations

Author Peers

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

Author						Papers	Cites
David Pengelley	87	67	53	49	39	45	220
William Dunham	94 1.1×	48 0.7×	30 0.6×	46 0.9×	26 0.7×	29	234
Jesper Lützen	88 1.0×	43 0.6×	41 0.8×	31 0.6×	16 0.4×	31	223
Duane W. DeTemple	32 0.4×	118 1.8×	31 0.6×	35 0.7×	57 1.5×	48	319
Titu Andreescu	25 0.3×	62 0.9×	24 0.5×	41 0.8×	22 0.6×	33	209
Calvin T. Long	28 0.3×	89 1.3×	76 1.4×	37 0.8×	82 2.1×	39	325
Ernst Snapper	35 0.4×	108 1.6×	35 0.7×	32 0.7×	71 1.8×	32	294
Jeremy Gray	53 0.6×	36 0.5×	29 0.5×	27 0.6×	11 0.3×	24	182
Christoph J. Scriba	60 0.7×	36 0.5×	20 0.4×	14 0.3×	11 0.3×	36	151
Colin McLarty	130 1.5×	57 0.9×	114 2.2×	9 0.2×	90 2.3×	38	312
James P. Jones	20 0.2×	55 0.8×	34 0.6×	5 0.1×	157 4.0×	32	267

Countries citing papers authored by David Pengelley

Since Specialization

Citations

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

Fields of papers citing papers by David Pengelley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pengelley

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