Eli Upfal

15.7k citations
176 papers · 8.2k · 2 hit papers · h-index 42

Impact in

Papers in

Eli Upfal

171 papers receiving 7.7k citations

Eli Upfal's Hit Papers

Probability and computing: randomized algorithms and probabilistic analysis 2005 · 989 citations
9890+7+14Years since publication250500750

Peers

Eli Upfal
Comparison fields: 5 of 140
  • Computer Networks and Communications 4.3k
  • Computational Theory and Mathematics 2.0k
  • Hardware and Architecture 774
  • Statistical and Nonlinear Physics 917
  • Artificial Intelligence 2.3k
Replace Michael Mitzenmacher with:
Michael Mitzenmacher United States
Andrew V. Goldberg United States
Andrei Broder United States
Christos H. Papadimitriou United States
Allan Borodin Canada
David Peleg Israel
Michael Luby United States
Don Coppersmith United States
Vijay V. Vazirani United States
Joseph Naor Israel
Eli Upfal relative to Michael Mitzenmacher United States Michael Mitzenmacher's profile →
Citations per field
00.5×1.5×
Michael Mitzenmacher · 1×
Citations per year

Countries citing papers authored by Eli Upfal

Since Specialization
Citations

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

Fields of papers citing papers by Eli Upfal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability and computing: randomized algorithms and probabilistic analysis
Hit paper breakdown →
2005989
2
Probability and Computing
Hit paper breakdown →
2005974
3 1999388
4 2002354
5 2011307
6 2011282
7 1989203
8 1997182
9 2000176
10 2008171
11 1986158
12 1994135
13 1991133
14 1994133
15 2001122
16 2012120
17 1990106
18 201194
19 199492
20 199391

About Eli Upfal

Eli Upfal is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Molecular Biology, having authored 176 papers that have together received 8.2k indexed citations. Recurring topics across this work include Optimization and Search Problems (39 papers), Complexity and Algorithms in Graphs (31 papers), Interconnection Networks and Systems (30 papers), Distributed systems and fault tolerance (29 papers), Algorithms and Data Compression (18 papers), Advanced Graph Theory Research (18 papers), Data Management and Algorithms (16 papers) and Complex Network Analysis Techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (4.3k citations), Computational Theory and Mathematics (2.0k citations), Hardware and Architecture (774 citations), Statistical and Nonlinear Physics (917 citations) and Artificial Intelligence (2.3k citations). Eli Upfal has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Michael Mitzenmacher, Prabhakar Raghavan, David Peleg, Fabio Vandin, Benjamin J. Raphael, Andrei Broder, Anna R. Karlin, Avi Wigderson, Matteo Riondato and Yossi Azar. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Journal of Computational Biology, Theoretical Computer Science and ACM Transactions on Knowledge Discovery from Data.

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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