Leah Epstein

4.8k citations
185 papers · 2.2k · h-index 23

Impact in

Papers in

Leah Epstein

171 papers receiving 2.1k citations

Peers

Leah Epstein
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 1.2k
  • Computer Networks and Communications 1.3k
  • Parasitology 225
  • Computer Graphics and Computer-Aided Design 112
  • Management Science and Operations Research 225
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Citations per field
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Citations per year

Countries citing papers authored by Leah Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Leah Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah Epstein. 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 Leah Epstein. The network helps show where Leah Epstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Leah Epstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leah Epstein Line = papers co-authored together Leah Epstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998223
2 1997173
3 201389
4 200165
5 200254
6 200340
7 201137
8 200834
9 200932
10 200332
11 200431
12 200630
13 200230
14 201429
15 200528
16 200027
17 200827
18 200726
19 200526
20 199825

About Leah Epstein

Leah Epstein is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 185 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimization and Search Problems (140 papers), Scheduling and Optimization Algorithms (81 papers), Optimization and Packing Problems (81 papers), Advanced Manufacturing and Logistics Optimization (49 papers), Complexity and Algorithms in Graphs (24 papers), Computational Geometry and Mesh Generation (17 papers), Auction Theory and Applications (16 papers) and graph theory and CDMA systems (15 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Computer Networks and Communications (1.3k citations), Parasitology (225 citations), Computer Graphics and Computer-Aided Design (112 citations) and Management Science and Operations Research (225 citations). Leah Epstein has collaborated with scholars based in Israel, Germany and Hungary. Frequent co-authors include Asaf Levin, Rob van Stee, William Checkley, C. R. Sterling, Lilia Cabrera, Gerhard J. Woeginger, Lene M. Favrholdt, György Dósa, Yossi Azar and Robert H. Gilman. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Journal of Scheduling, Journal of Combinatorial Optimization and Discrete Applied Mathematics.

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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