Edgar Feldman

1.1k citations
32 papers · 716 · h-index 16

Impact in

Papers in

Edgar Feldman

32 papers receiving 598 citations

Peers

Edgar Feldman
Comparison fields: 5 of 56
  • Applied Mathematics 188
  • Geometry and Topology 127
  • Computational Theory and Mathematics 219
  • Mathematical Physics 124
  • Artificial Intelligence 388
Replace Makoto Tsukada with:
Makoto Tsukada Japan
Jacques Chazarain France
Piotr Śniady Poland
Eric Kostlan United States
D. Petz Hungary
John S. Lew United States
E.K. Ifantis Greece
Luigi De Pascale Italy
Nik Weaver United States
Edgar Feldman relative to Makoto Tsukada Japan Makoto Tsukada's profile →
Citations per field
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Makoto Tsukada · 1×
Citations per year

Countries citing papers authored by Edgar Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Edgar Feldman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edgar Feldman Line = papers co-authored together Edgar Feldman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200371
2 201251
3 200951
4 201346
5 197846
6 199141
7 196539
8 200639
9 200637
10 200732
11 200429
12 198829
13 201022
14 199620
15 198119
16 201219
17 196614
18 196514
19 199114
20 196813

About Edgar Feldman

Edgar Feldman is a scholar working on Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 32 papers that have together received 716 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Geometric Analysis and Curvature Flows (9 papers), Quantum Information and Cryptography (9 papers), Quantum-Dot Cellular Automata (5 papers), Numerical methods in inverse problems (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Quantum Mechanics and Applications (3 papers) and Geometric and Algebraic Topology (3 papers). The work is most often cited by research in Applied Mathematics (188 citations), Geometry and Topology (127 citations), Computational Theory and Mathematics (219 citations), Mathematical Physics (124 citations) and Artificial Intelligence (388 citations). Edgar Feldman has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Mark Hillery, Isaac Chavel, János A. Bergou, Vladimír Bužek, Daniel Reitzner, Ulrike Herzog, Itaï Benjamini, Jay Rosen and Seymour R. Levin. Their work appears in journals such as Physical Review A, Transactions of the American Mathematical Society, Proceedings of the London Mathematical Society, Duke Mathematical Journal and Journal of Differential Geometry.

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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