Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Leslie G. Valiant
Since
Specialization
Citations
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.
Michael, Loizos & Leslie G. Valiant. (2008). A first experimental demonstration of massive knowledge infusion. Principles of Knowledge Representation and Reasoning. 17(4). 378–388.18 indexed citations
3.
Valiant, Leslie G.. (2006). Knowledge infusion. National Conference on Artificial Intelligence. 1546–1551.11 indexed citations
Warmuth, Manfred K. & Leslie G. Valiant. (1991). Proceedings of the Fourth Annual Workshop on Computational Learning Theory, University of California, Santa Cruz, August 5-7, 1991.2 indexed citations
9.
Valiant, Leslie G.. (1988). Functionality in neural nets. Conference on Learning Theory. 28–39.23 indexed citations
10.
Valiant, Leslie G.. (1988). Optimally universal parallel computers. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 326(1591). 373–376.9 indexed citations
Valiant, Leslie G.. (1984). Deductive learning. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 312(1522). 441–446.15 indexed citations
14.
Valiant, Leslie G.. (1984). A theory of the learnable. Communications of the ACM. 27(11). 1134–1142.1926 indexed citations breakdown →
Valiant, Leslie G.. (1976). The Equivalence Problem for D0L Systems and its Decidability for Binary Alphabets.. International Colloquium on Automata, Languages and Programming. 31–37.4 indexed citations
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.