Matthew Valeriote
- Computational Theory and Mathematics top 1%
- Algebra and Number Theory top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Geometry and Topology top 5%
- Co-authors
- Ralph McKenzieRoss WillardPetar MarkovićEmil W. KissBradd HartJoel BermanRalph FreeseAndrei Krokhin
- Topics
- Advanced Algebra and Logic (33 papers)semigroups and automata theory (28 papers)Rings, Modules, and Algebras (10 papers)
- Journals
- Journal of Machine Learning ResearchTransactions of the American Mathematical SocietySIAM Journal on Computing
- Partner nations
- CanadaUnited StatesHungary
In The Last Decade
Matthew Valeriote
39 papers receiving 535 citations
Peers
Comparison fields: 5 of 19
- Computational Theory and Mathematics 523
- Algebra and Number Theory 192
- Computer Networks and Communications 137
- Artificial Intelligence 117
- Geometry and Topology 100
Countries citing papers authored by Matthew Valeriote
This map shows the geographic impact of Matthew Valeriote'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 Matthew Valeriote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Valeriote more than expected).
Fields of papers citing papers by Matthew Valeriote
This network shows the impact of papers produced by Matthew Valeriote. 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 Matthew Valeriote. The network helps show where Matthew Valeriote may publish in the future.
Co-authorship network of co-authors of Matthew Valeriote
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Valeriote. A scholar is included among the top collaborators of Matthew Valeriote 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 Matthew Valeriote. Matthew Valeriote 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 | Learnability of Solutions to Conjunctive Queries | 1 |
| 3 | 4 | |
| 4 | Learnability of Solutions to Conjunctive Queries: The Full Dichotomy | 2 |
| 5 | 5 | |
| 6 | 56 | |
| 7 | 3 | |
| 8 | 55 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 28 | |
| 19 | 195 | |
| 20 | 5 |
About Matthew Valeriote
Matthew Valeriote is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Geometry and Topology, having authored 42 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (33 papers), semigroups and automata theory (28 papers) and Rings, Modules, and Algebras (10 papers). The work is most often cited by research in Algebra and Number Theory (192 citations), Computational Theory and Mathematics (523 citations) and Geometry and Topology (100 citations). Matthew Valeriote has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Ralph McKenzie, Ross Willard, Petar Marković, Emil W. Kiss, Bradd Hart, Joel Berman, Ralph Freese, Andrei Krokhin, Marcin Kozik and Keith A. Kearnes. Their work appears in journals such as Journal of Machine Learning Research, Transactions of the American Mathematical Society and SIAM Journal on Computing.
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.