Eric Lehman

4.1k citations
31 papers · 2.7k · 1 hit paper · h-index 15

Impact in

Papers in

Eric Lehman

29 papers receiving 2.5k citations

Eric Lehman's Hit Papers

Consistent hashing and random trees 1997 · 1.4k citations
1.4k0+9+19Years since publication4008001.2k

Peers

Eric Lehman
Comparison fields: 5 of 105
  • Health Informatics 127
  • Computer Networks and Communications 1.7k
  • Hardware and Architecture 207
  • Computational Theory and Mathematics 486
  • Artificial Intelligence 786
Replace Guy N. Rothblum with:
Guy N. Rothblum United States
Kim Laine United States
Anand D. Sarwate United States
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Wen-Guey Tzeng Taiwan
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Eric Lehman relative to Guy N. Rothblum United States Guy N. Rothblum's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric Lehman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lehman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Lehman, 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 Eric Lehman Line = papers co-authored together Eric Lehman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Consistent hashing and random trees
Hit paper breakdown →
19971399
2 2023255
3 2005227
4 2004154
5 2002125
6 1999102
7 200269
8 199763
9 200247
10 199533
11 200125
12 200024
13 202323
14 201422
15 200217
16 200213
17 200212
18 201811
19 200911
20 20089

About Eric Lehman

Eric Lehman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), VLSI and Analog Circuit Testing (5 papers), Complexity and Algorithms in Graphs (5 papers), Low-power high-performance VLSI design (5 papers), semigroups and automata theory (5 papers), Machine Learning and Algorithms (4 papers), VLSI and FPGA Design Techniques (4 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Health Informatics (127 citations), Computer Networks and Communications (1.7k citations), Hardware and Architecture (207 citations), Computational Theory and Mathematics (486 citations) and Artificial Intelligence (786 citations). Eric Lehman has collaborated with scholars based in United States, Israel and Philippines. Frequent co-authors include Rina Panigrahy‎, David R. Karger, Tom Leighton, Matthew Levine, April Rasala Lehman, Abhi Shelat, Alex Samorodnitsky, Sofya Raskhodnikova, Manoj Prabhakaran and Moses Charikar. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Transplantation, COMBINATORICA and European Journal of Emergency Medicine.

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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