David M. Goldschmidt

46 total papers · 978 total citations
20 papers, 677 citations indexed

About

David M. Goldschmidt is a scholar working on Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Geometry and Topology. According to data from OpenAlex, David M. Goldschmidt has authored 20 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Discrete Mathematics and Combinatorics, 7 papers in Electrical and Electronic Engineering and 6 papers in Geometry and Topology. Recurrent topics in David M. Goldschmidt's work include Finite Group Theory Research (10 papers), graph theory and CDMA systems (7 papers) and Coding theory and cryptography (3 papers). David M. Goldschmidt is often cited by papers focused on Finite Group Theory Research (10 papers), graph theory and CDMA systems (7 papers) and Coding theory and cryptography (3 papers). David M. Goldschmidt collaborates with scholars based in United States. David M. Goldschmidt's co-authors include Bernd Stellmacher, I. M. Isaacs, Leonard L. Scott and Daniel J. Drucker and has published in prestigious journals such as Annals of Mathematics, Pacific Journal of Mathematics and Proceedings of the American Mathematical Society.

In The Last Decade

David M. Goldschmidt

18 papers receiving 549 citations

Author Peers

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

Author Last Decade Papers Cites
David M. Goldschmidt 588 348 309 253 159 20 677
Robert T. Curtis 580 1.0× 381 1.1× 281 0.9× 290 1.1× 188 1.2× 33 749
Christoph Hering 635 1.1× 436 1.3× 476 1.5× 169 0.7× 79 0.5× 38 709
Paul Fong 647 1.1× 322 0.9× 240 0.8× 303 1.2× 266 1.7× 28 723
Thomas R. Wolf 644 1.1× 457 1.3× 345 1.1× 182 0.7× 89 0.6× 33 666
F. G. Timmesfeld 552 0.9× 278 0.8× 179 0.6× 271 1.1× 234 1.5× 47 608
Charles C. Sims 450 0.8× 310 0.9× 225 0.7× 268 1.1× 112 0.7× 22 656
Zvi Arad 545 0.9× 319 0.9× 302 1.0× 227 0.9× 122 0.8× 56 695
Bruce N. Cooperstein 532 0.9× 306 0.9× 226 0.7× 190 0.8× 197 1.2× 41 615
T. G. Ostrom 541 0.9× 427 1.2× 560 1.8× 175 0.7× 34 0.2× 57 790
Surinder K. Sehgal 418 0.7× 230 0.7× 198 0.6× 297 1.2× 85 0.5× 68 719

Countries citing papers authored by David M. Goldschmidt

Since Specialization
Citations

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

Fields of papers citing papers by David M. Goldschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Goldschmidt

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