Liad Blumrosen
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 2%
- Economics and Econometrics top 2%
- Marketing top 2%
- Artificial Intelligence top 5%
- Co-authors
- Noam NisanChristos H. PapadimitriouTim RoughgardenDavid C. ParkesRamesh JohariVijay V. VaziraniAvrim BlumYevgeniy Dodis
- Topics
- Auction Theory and Applications (23 papers)Consumer Market Behavior and Pricing (13 papers)Game Theory and Applications (9 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsJournal of Economic TheorySIAM Journal on Computing
- Partner nations
- IsraelUnited States
In The Last Decade
Liad Blumrosen
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Management Science and Operations Research 1.0k
- Computer Networks and Communications 564
- Economics and Econometrics 398
- Marketing 291
- Artificial Intelligence 277
Countries citing papers authored by Liad Blumrosen
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
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 of co-authors of Liad Blumrosen
This figure shows the co-authorship network connecting the top 25 collaborators of Liad Blumrosen. A scholar is included among the top collaborators of Liad Blumrosen 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 Liad Blumrosen. Liad Blumrosen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | Posting Prices with Unknown Distributions. | 14 |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 37 | |
| 12 | 30 | |
| 13 | Algorithmic Game Theorybreakdown → | 1422 |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 29 | |
| 19 | On line markets for distributed object services: the MAJIC system | 5 |
| 20 | Online Markets for Distributed Market Services: the MAJIC system | 1 |
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) and Game Theory and Applications (9 papers). 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. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Journal of Economic Theory and SIAM Journal on Computing.
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.