Harvey Friedman
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Geometry and Topology top 2%
- Mathematical Physics top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Andre ScedrovPenelope MaddySolomon FefermanJohn R. SteelChris MillerH. B. EndertonÁkos SeressRichard Mansfield
- Topics
- Computability, Logic, AI Algorithms (18 papers)Advanced Topology and Set Theory (15 papers)Logic, Reasoning, and Knowledge (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationAnnals of Mathematics
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Harvey Friedman
39 papers receiving 492 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 450
- Artificial Intelligence 269
- Geometry and Topology 248
- Mathematical Physics 117
- Experimental and Cognitive Psychology 90
Countries citing papers authored by Harvey Friedman
This map shows the geographic impact of Harvey Friedman'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 Harvey Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harvey Friedman more than expected).
Fields of papers citing papers by Harvey Friedman
This network shows the impact of papers produced by Harvey Friedman. 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 Harvey Friedman. The network helps show where Harvey Friedman may publish in the future.
Co-authorship network of co-authors of Harvey Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Harvey Friedman. A scholar is included among the top collaborators of Harvey Friedman 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 Harvey Friedman. Harvey Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 54 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 131 | |
| 15 | 39 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 53 | |
| 19 | 18 | |
| 20 | 64 |
About Harvey Friedman
Harvey Friedman is a scholar working on Geometry and Topology, Theoretical Computer Science and Computational Theory and Mathematics, having authored 43 papers that have together received 625 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (18 papers), Advanced Topology and Set Theory (15 papers) and Logic, Reasoning, and Knowledge (15 papers). The work is most often cited by research in Theoretical Computer Science (43 citations), Geometry and Topology (248 citations) and Computational Theory and Mathematics (450 citations). Harvey Friedman has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Andre Scedrov, Penelope Maddy, Solomon Feferman, John R. Steel, Chris Miller, H. B. Enderton, Ákos Seress, Richard Mansfield, Philip Friedman and Albert Visser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Annals of Mathematics.
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.