Leslie G. Valiant
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.01%
- Computer Networks and Communications top 0.1%
- Hardware and Architecture top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Co-authors
- Michael KearnsVijay V. VaziraniDana AngluinGordon BrebnerMark JerrumLeonard PittAlexandros V. GerbessiotisDavid Haussler
- Topics
- Machine Learning and Algorithms (28 papers)Complexity and Algorithms in Graphs (25 papers)Computability, Logic, AI Algorithms (23 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Leslie G. Valiant
98 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 9.4k
- Computational Theory and Mathematics 6.7k
- Computer Networks and Communications 4.6k
- Hardware and Architecture 2.1k
- Computer Vision and Pattern Recognition 1.5k
Countries citing papers authored by Leslie G. Valiant
This map shows the geographic impact of Leslie G. Valiant'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 Leslie G. Valiant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie G. Valiant more than expected).
Fields of papers citing papers by Leslie G. Valiant
This network shows the impact of papers produced by Leslie G. Valiant. 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 Leslie G. Valiant. The network helps show where Leslie G. Valiant may publish in the future.
Co-authorship network of co-authors of Leslie G. Valiant
This figure shows the co-authorship network connecting the top 25 collaborators of Leslie G. Valiant. A scholar is included among the top collaborators of Leslie G. Valiant 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 Leslie G. Valiant. Leslie G. Valiant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | Knowledge infusion | 11 |
| 3 | 22 | |
| 4 | 38 | |
| 5 | Cognitive Computation (Extended Abstract). | 1 |
| 6 | Proceedings of the Fourth Annual Workshop on Computational Learning Theory, University of California, Santa Cruz, August 5-7, 1991 | 2 |
| 7 | 23 | |
| 8 | 100 | |
| 9 | 9 | |
| 10 | 160 | |
| 11 | 331 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 391 | |
| 15 | The Equivalence Problem for D0L Systems and its Decidability for Binary Alphabets. | 4 |
| 16 | 14 | |
| 17 | 87 | |
| 18 | 27 | |
| 19 | 170 | |
| 20 | 73 |
About Leslie G. Valiant
Leslie G. Valiant is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 99 papers that have together received 16.7k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (28 papers), Complexity and Algorithms in Graphs (25 papers) and Computability, Logic, AI Algorithms (23 papers). The work is most often cited by research in Computational Theory and Mathematics (6.7k citations), Hardware and Architecture (2.1k citations) and Artificial Intelligence (9.4k citations). Leslie G. Valiant has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Kearns, Vijay V. Vazirani, Dana Angluin, Gordon Brebner, Mark Jerrum, Leonard Pitt, Alexandros V. Gerbessiotis, David Haussler, John H. Reif and Nicholas Pippenger. Their work appears in journals such as Communications of the ACM, Current Opinion in Neurobiology and Artificial Intelligence.
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.