Shahar Dobzinski
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 2%
- Economics and Econometrics top 5%
- Marketing top 2%
- Information Systems top 5%
- Co-authors
- Noam NisanMichael SchapiraRon LaviSigal OrenShaddin DughmiAviv ZoharMoshe BabaioffLiad Blumrosen
- Topics
- Auction Theory and Applications (47 papers)Game Theory and Voting Systems (20 papers)Consumer Market Behavior and Pricing (17 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsJournal of the ACMJournal of Economic Theory
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Shahar Dobzinski
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 45
- Management Science and Operations Research 878
- Computer Networks and Communications 465
- Economics and Econometrics 372
- Marketing 360
- Information Systems 179
Countries citing papers authored by Shahar Dobzinski
This map shows the geographic impact of Shahar Dobzinski'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 Shahar Dobzinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahar Dobzinski more than expected).
Fields of papers citing papers by Shahar Dobzinski
This network shows the impact of papers produced by Shahar Dobzinski. 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 Shahar Dobzinski. The network helps show where Shahar Dobzinski may publish in the future.
Co-authorship network of co-authors of Shahar Dobzinski
This figure shows the co-authorship network connecting the top 25 collaborators of Shahar Dobzinski. A scholar is included among the top collaborators of Shahar Dobzinski 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 Shahar Dobzinski. Shahar Dobzinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 49 | |
| 18 | 35 | |
| 19 | Approximations by Computationally-Efficient VCG-Based Mechanisms. | 1 |
| 20 | 85 |
About Shahar Dobzinski
Shahar Dobzinski is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Auction Theory and Applications (47 papers), Game Theory and Voting Systems (20 papers) and Consumer Market Behavior and Pricing (17 papers). The work is most often cited by research in Management Science and Operations Research (878 citations), Marketing (360 citations) and Computer Networks and Communications (465 citations). Shahar Dobzinski has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Noam Nisan, Michael Schapira, Ron Lavi, Sigal Oren, Shaddin Dughmi, Aviv Zohar, Moshe Babaioff, Liad Blumrosen, Jan Vondrák and M. Sundararajan. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Journal of the ACM and Journal of Economic Theory.
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.