Philip Ehrlich

25 papers receiving 303 citations

Peers

Philip Ehrlich
Comparison fields: 5 of 22
  • Theoretical Computer Science 109
  • Mathematical Physics 167
  • Geometry and Topology 95
  • General Psychology 9
  • Discrete Mathematics and Combinatorics 16
Replace Mauro Di Nasso with:
Mauro Di Nasso Italy
Matthew D. Foreman United States
Stanley Wagon United States
John Mumma United States
W. S. Anglin Canada
W. Hugh Woodin United States
William F. Lindgren United States
Georg Cantor Germany
David H. Fowler United Kingdom
David Pengelley United States
Philip Ehrlich relative to Mauro Di Nasso Italy Mauro Di Nasso's profile →
Citations per field
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Mauro Di Nasso · 1×
Citations per year

Countries citing papers authored by Philip Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Philip Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Philip Ehrlich, 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 Philip Ehrlich Line = papers co-authored together Philip Ehrlich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200572
2 201238
3 200131
4 199428
5 200121
6 198220
7 199718
8 198817
9 198912
10 199512
11 199411
12 20119
13 19976
14 19815
15 20175
16 20185
17 20225
18 19864
19 20143
20 20203

About Philip Ehrlich

Philip Ehrlich is a scholar working on Mathematical Physics, Theoretical Computer Science, Geometry and Topology, Discrete Mathematics and Combinatorics and Statistical and Nonlinear Physics, having authored 26 papers that have together received 333 indexed citations. Recurring topics across this work include Mathematical and Theoretical Analysis (20 papers), Advanced Topology and Set Theory (10 papers), History and Theory of Mathematics (8 papers), Advanced Combinatorial Mathematics (2 papers), Rings, Modules, and Algebras (1 paper), Advanced Mathematical Theories (1 paper), Mathematics and Applications (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Theoretical Computer Science (109 citations), Mathematical Physics (167 citations), Geometry and Topology (95 citations), General Psychology (9 citations) and Discrete Mathematics and Combinatorics (16 citations). Philip Ehrlich has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Lou van den Dries, Alessandro Berarducci, Salma Kuhlmann, Ovidiu Costin, Moshé Machover, James Gary Propp, Richard Kenyon, Louis Hirsch Kauffman and Jeffrey C. Lagarias. Their work appears in journals such as Journal of Symbolic Logic, Philosophy of Science, Synthese, Bulletin of Symbolic Logic and Proceedings of the American Mathematical Society.

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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