Lenore D. Zuck

129 total papers · 3.2k total citations
53 papers, 642 citations indexed

About

Lenore D. Zuck is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Lenore D. Zuck has authored 53 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 29 papers in Computational Theory and Mathematics and 15 papers in Software. Recurrent topics in Lenore D. Zuck's work include Formal Methods in Verification (26 papers), Logic, programming, and type systems (16 papers) and Parallel Computing and Optimization Techniques (11 papers). Lenore D. Zuck is often cited by papers focused on Formal Methods in Verification (26 papers), Logic, programming, and type systems (16 papers) and Parallel Computing and Optimization Techniques (11 papers). Lenore D. Zuck collaborates with scholars based in United States, Israel and France. Lenore D. Zuck's co-authors include Amir Pnueli, Benjamin Goldberg, Joseph Y. Halpern, Yi Fang, Clark Barrett, Dawei Wang, Kenneth L. McMillan, Yi Fang, Nicolas Halbwachs and Joshua D. Guttman and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and Lecture notes in computer science.

In The Last Decade

Lenore D. Zuck

48 papers receiving 581 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lenore D. Zuck	390	367	212	169	123	53	642
Robert F. Stärk	457 1.2×	298 0.8×	161 0.8×	152 0.9×	125 1.0×	32	666
Thomas Arts	400 1.0×	289 0.8×	173 0.8×	293 1.7×	83 0.7×	47	744
Béatrice Bérard	257 0.7×	521 1.4×	171 0.8×	247 1.5×	153 1.2×	31	759
Eerke Boiten	390 1.0×	283 0.8×	170 0.8×	215 1.3×	44 0.4×	77	656
Yves Bertot	611 1.6×	471 1.3×	123 0.6×	137 0.8×	90 0.7×	33	784
Bernd Finkbeiner	382 1.0×	422 1.1×	145 0.7×	204 1.2×	90 0.7×	75	605
Matteo Pradella	352 0.9×	196 0.5×	263 1.2×	109 0.6×	59 0.5×	53	568
Yanhong A. Liu	465 1.2×	223 0.6×	245 1.2×	163 1.0×	256 2.1×	63	672
Roberto Segala	310 0.8×	562 1.5×	254 1.2×	225 1.3×	163 1.3×	46	786
Laure Petrucci	180 0.5×	365 1.0×	129 0.6×	192 1.1×	109 0.9×	38	568

Countries citing papers authored by Lenore D. Zuck

Since Specialization

Citations

This map shows the geographic impact of Lenore D. Zuck'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 Lenore D. Zuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenore D. Zuck more than expected).

Fields of papers citing papers by Lenore D. Zuck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lenore D. Zuck. 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 Lenore D. Zuck. The network helps show where Lenore D. Zuck may publish in the future.

Co-authorship network of co-authors of Lenore D. Zuck

This figure shows the co-authorship network connecting the top 25 collaborators of Lenore D. Zuck. A scholar is included among the top collaborators of Lenore D. Zuck 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 Lenore D. Zuck. Lenore D. Zuck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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