Harvey M. Friedman
- Epidemiology top 0.2%
- Immunology top 1%
- Infectious Diseases top 0.5%
- Virology top 0.2%
- Genetics top 2%
- Co-authors
- Gary H. CohenRoselyn J. EisenbergSita AwasthiJohn M. LubinskiIan FrankJohn D. LambrisDouglas B. CinesNicholas A. Kefalides
- Topics
- Herpesvirus Infections and Treatments (103 papers)Cytomegalovirus and herpesvirus research (43 papers)Toxin Mechanisms and Immunotoxins (31 papers)
- Cited by
- VirologyEpidemiologyImmunology
- Partner nations
- United StatesBotswanaCanada
In The Last Decade
Harvey M. Friedman
228 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Epidemiology 4.6k
- Immunology 2.3k
- Infectious Diseases 1.8k
- Virology 1.6k
- Genetics 967
Countries citing papers authored by Harvey M. Friedman
This map shows the geographic impact of Harvey M. 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 M. 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 M. Friedman more than expected).
Fields of papers citing papers by Harvey M. Friedman
This network shows the impact of papers produced by Harvey M. 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 M. Friedman. The network helps show where Harvey M. Friedman may publish in the future.
Co-authorship network of co-authors of Harvey M. Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Harvey M. Friedman. A scholar is included among the top collaborators of Harvey M. 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 M. Friedman. Harvey M. 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 | 18 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | A language for mathematical language management | 3 |
| 5 | 30 | |
| 6 | Three Quantifier Sentences | 1 |
| 7 | Primitive Independence Results | 1 |
| 8 | A Way Out | 2 |
| 9 | FINITE REVERSE MATHEMATICS | 1 |
| 10 | Lecture Notes on Baby Boolean Relation Theory | 1 |
| 11 | Boolean Relation Theory Notes | 0 |
| 12 | Adherence wanes after first month of HIV therapy | 1 |
| 13 | Metamathematics of Ulm Theory | 2 |
| 14 | 53 | |
| 15 | Programming Pearls, 2nd Edition | 5 |
| 16 | 46 | |
| 17 | 17 | |
| 18 | 24 | |
| 19 | 33 | |
| 20 | 85 |
About Harvey M. Friedman
Harvey M. Friedman is a scholar working on Virology, Epidemiology and Geometry and Topology, having authored 237 papers that have together received 8.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (103 papers), Cytomegalovirus and herpesvirus research (43 papers) and Toxin Mechanisms and Immunotoxins (31 papers). The work is most often cited by research in Virology (1.6k citations), Epidemiology (4.6k citations) and Immunology (2.3k citations). Harvey M. Friedman has collaborated with scholars based in United States, Botswana and Canada. Frequent co-authors include Gary H. Cohen, Roselyn J. Eisenberg, Sita Awasthi, John M. Lubinski, Ian Frank, John D. Lambris, Douglas B. Cines, Nicholas A. Kefalides, Stuart E. Starr and Gary Dubin. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.
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.