Liad Blumrosen

3.2k citations
24 papers · 1.8k indexed · 1 hit paper · h-index 12

Liad Blumrosen

23 papers receiving 1.7k citations

Hit Papers

Algorithmic Game Theory1.4k20072026201320194008001.2k

Peers

Liad Blumrosen
Comparison fields: 5 of 83
  • Management Science and Operations Research 1.0k
  • Marketing 291
  • Computer Science Applications 161
  • Computer Networks and Communications 564
  • Economics and Econometrics 398
Replace James Schummer with:
James Schummer United States
Bernhard von Stengel United Kingdom
Ron Lavi Israel
Aranyak Mehta United States
Chaitanya Swamy Canada
Ηλίας Κουτσουπιάς United States
Y. Narahari India
Edith Elkind United Kingdom
Kamesh Munagala United States
Sven de Vries Germany
Liad Blumrosen relative to James Schummer United States James Schummer's profile →
Citations per field
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James Schummer · 1×
Citations per year

Countries citing papers authored by Liad Blumrosen

Since Specialization
Citations

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

Fields of papers citing papers by Liad Blumrosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20178
3 20152
4 201424
5 201310
6 20125
7
Posting Prices with Unknown Distributions.
201114
8 20116
9 201015
10 200910
11 200937
12 200830
13
Algorithmic Game Theorybreakdown →
20071422
14 200717
15 20071
16 200618
17 20066
18 200329
19
On line markets for distributed object services: the MAJIC system
20015
20
Online Markets for Distributed Market Services: the MAJIC system
20011

About Liad Blumrosen

Liad Blumrosen is a scholar working on Management Science and Operations Research, Marketing and General Decision Sciences, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Auction Theory and Applications (23 papers), Consumer Market Behavior and Pricing (13 papers), Game Theory and Applications (9 papers), Game Theory and Voting Systems (7 papers), Optimization and Search Problems (6 papers), Experimental Behavioral Economics Studies (4 papers), Economic theories and models (2 papers) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Marketing (291 citations) and Computer Science Applications (161 citations). Liad Blumrosen has collaborated with scholars based in Israel and United States. Frequent co-authors include Noam Nisan, Christos H. Papadimitriou, Tim Roughgarden, David C. Parkes, Ramesh Johari, Vijay V. Vazirani, Avrim Blum, Yevgeniy Dodis, Bernhard von Stengel and James Schummer.

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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