Aranyak Mehta
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 1%
- Marketing top 2%
- Computational Theory and Mathematics top 2%
- Economics and Econometrics top 5%
- Co-authors
- Vijay V. VaziraniAmin SaberiUmesh VaziraniGagan GoelRichard J. LiptonEvangelos MarkakisChinmay KarandeS. Muthukrishnan
- Topics
- Auction Theory and Applications (30 papers)Optimization and Search Problems (20 papers)Consumer Market Behavior and Pricing (13 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Aranyak Mehta
47 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 73
- Management Science and Operations Research 1.1k
- Computer Networks and Communications 1.0k
- Marketing 318
- Computational Theory and Mathematics 300
- Economics and Econometrics 283
Countries citing papers authored by Aranyak Mehta
This map shows the geographic impact of Aranyak Mehta'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 Aranyak Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aranyak Mehta more than expected).
Fields of papers citing papers by Aranyak Mehta
This network shows the impact of papers produced by Aranyak Mehta. 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 Aranyak Mehta. The network helps show where Aranyak Mehta may publish in the future.
Co-authorship network of co-authors of Aranyak Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Aranyak Mehta. A scholar is included among the top collaborators of Aranyak Mehta 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 Aranyak Mehta. Aranyak Mehta 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 | 3 | |
| 3 | 15 | |
| 4 | A new dog learns old tricks: RL finds classic optimization algorithms | 17 |
| 5 | 2 | |
| 6 | 34 | |
| 7 | Online Matching and Adwords | 1 |
| 8 | 64 | |
| 9 | 1 | |
| 10 | 126 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 147 | |
| 14 | Online budgeted matching in random input models with applications to Adwords | 120 |
| 15 | 48 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | Profit-maximizing multicast pricing by approximating fixed points. | 4 |
| 19 | 170 | |
| 20 | 6 |
About Aranyak Mehta
Aranyak Mehta is a scholar working on Management Science and Operations Research, Marketing and Computational Theory and Mathematics, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Auction Theory and Applications (30 papers), Optimization and Search Problems (20 papers) and Consumer Market Behavior and Pricing (13 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Computer Networks and Communications (1.0k citations) and Marketing (318 citations). Aranyak Mehta has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Vijay V. Vazirani, Amin Saberi, Umesh Vazirani, Gagan Goel, Richard J. Lipton, Evangelos Markakis, Chinmay Karande, S. Muthukrishnan, Vahab Mirrokni and Jon Feldman. Their work appears in journals such as Journal of the ACM, Journal of Memory and Language 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.