Daniel J. Velleman
- Theoretical Computer Science top 2%
- History and Theory of Mathematics 8
- Algebra and Number Theory top 10%
- Rings, Modules, and Algebras 5
- Geometry and Topology top 5%
- Advanced Topology and Set Theory 11
- Mathematics and Applications 6
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- Computability, Logic, AI Algorithms 10
- Advanced Algebra and Logic 5
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- Mathematical and Theoretical Analysis 5
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- Logic, Reasoning, and Knowledge 4
- Co-authors
- Gregory S. CallDavid BeaverStan WagonEdgar OneaÉmilie DestruelGregory S. WarringtonAlexander L. GeorgeDaniel H. Ullman
- Cited by
- Theoretical Computer ScienceDiscrete Mathematics and CombinatoricsAlgebra and Number Theory
- Journals
- Transactions of the American Mathematical Society (2 papers)The Philosophical Review (1 paper)The Journal of Philosophy (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Daniel J. Velleman
51 papers receiving 574 citations
Peers
Comparison fields: 5 of 110
- Theoretical Computer Science 55
- Discrete Mathematics and Combinatorics 106
- Algebra and Number Theory 113
- Geometry and Topology 213
- Computational Theory and Mathematics 171
Countries citing papers authored by Daniel J. Velleman
This map shows the geographic impact of Daniel J. Velleman'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 Daniel J. Velleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Velleman more than expected).
Fields of papers citing papers by Daniel J. Velleman
This network shows the impact of papers produced by Daniel J. Velleman. 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 Daniel J. Velleman. The network helps show where Daniel J. Velleman may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Daniel J. Velleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2020 | 0 | |
| 6 | 2014 | 1 | |
| 7 | 2012 | 37 | |
| 8 | 2006 | 3 | |
| 9 | 2006 | 14 | |
| 10 | 2004 | 2 | |
| 11 | 2004 | 2 | |
| 12 | 2000 | 1 | |
| 13 | 1999 | 1 | |
| 14 | 1991 | 1 | |
| 15 | 1990 | 3 | |
| 16 | 1986 | 3 | |
| 17 | 1984 | 8 | |
| 18 | 1984 | 1 | |
| 19 | 1983 | 3 | |
| 20 | 1982 | 34 |
About Daniel J. Velleman
Daniel J. Velleman is a scholar working on Theoretical Computer Science, Geometry and Topology and Algebra and Number Theory, having authored 68 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (11 papers), Computability, Logic, AI Algorithms (10 papers), History and Theory of Mathematics (8 papers), Mathematics and Applications (6 papers), Advanced Algebra and Logic (5 papers), Mathematical and Theoretical Analysis (5 papers), Rings, Modules, and Algebras (5 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Theoretical Computer Science (55 citations), Discrete Mathematics and Combinatorics (106 citations) and Algebra and Number Theory (113 citations). Daniel J. Velleman has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Gregory S. Call, David Beaver, Stan Wagon, Edgar Onea, Émilie Destruel, Gregory S. Warrington, Alexander L. George, Daniel H. Ullman, Victor Katz and Douglas B. West. Their work appears in journals such as Transactions of the American Mathematical Society, The Philosophical Review and The Journal of Philosophy.
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.