Philip Ehrlich

18 papers receiving 199 citations

Peers

Philip Ehrlich
Comparison fields: 5 of 37
  • Theoretical Computer Science 96
  • Mathematical Physics 110
  • History and Philosophy of Science 55
  • Geometry and Topology 90
  • General Psychology 6
Replace Mauro Di Nasso with:
Mauro Di Nasso Italy
John L. Bell Canada
José Ferreirós Spain
David Sherry United States
R. E. Vesley United States
Georg Cantor Mexico
Abraham A. Fraenkel
D. van Dalen Netherlands
L. E. J. Brouwer Netherlands
Marco Panza France
Philip Ehrlich relative to Mauro Di Nasso Italy Mauro Di Nasso's profile →
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200559
2 201229
3 198225
4 199424
5 200120
6 200116
7 199716
8 198811
9 19898
10 20117
11 19815
12 19973
13 20172
14 20142
15 20182
16 19862
17 20181
18
Real Numbers, Generalizations of the Reals and Theories of Continua (Synthese Library, Vol. 242)
19961
19 20071
20 20220

About Philip Ehrlich

Philip Ehrlich is a scholar working on Mathematical Physics, Geometry and Topology, Computational Theory and Mathematics, Theoretical Computer Science and Artificial Intelligence, having authored 21 papers that have together received 234 indexed citations. Recurring topics across this work include Mathematical and Theoretical Analysis (7 papers), History and Theory of Mathematics (7 papers), Computability, Logic, AI Algorithms (6 papers), Advanced Topology and Set Theory (4 papers), Logic, programming, and type systems (2 papers), Artificial Intelligence in Games (2 papers), Mathematics and Applications (2 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Theoretical Computer Science (96 citations), Mathematical Physics (110 citations), History and Philosophy of Science (55 citations), Geometry and Topology (90 citations) and General Psychology (6 citations). Philip Ehrlich has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Lou van den Dries, Alessandro Berarducci, Moshé Machover, Salma Kuhlmann, Ovidiu Costin, RICHARD L. KENYON, Jeffrey C. Lagarias, James Propp and Louis H. Kauffman. Their work appears in journals such as Synthese, Journal of Symbolic Logic, Bulletin of Symbolic Logic, Philosophy of Science 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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