Afshin Nikzad
- Management Science and Operations Research top 2%
- Economics and Econometrics top 10%
- Computer Science Applications top 5%
- Marketing top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Gagan GoelItai AshlagiAdish SinglaNima AnariGeorgios AmanatidisEvangelos MarkakisAmin SaberiMohammad Akbarpour
- Topics
- Auction Theory and Applications (20 papers)Game Theory and Voting Systems (12 papers)Economic theories and models (6 papers)
- Journals
- Proceedings of the National Academy of SciencesManagement ScienceThe Review of Economic Studies
- Partner nations
- United StatesIranSwitzerland
In The Last Decade
Afshin Nikzad
30 papers receiving 369 citations
Peers
Comparison fields: 5 of 47
- Management Science and Operations Research 234
- Economics and Econometrics 142
- Computer Science Applications 89
- Marketing 62
- Computer Networks and Communications 61
Countries citing papers authored by Afshin Nikzad
This map shows the geographic impact of Afshin Nikzad'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 Afshin Nikzad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afshin Nikzad more than expected).
Fields of papers citing papers by Afshin Nikzad
This network shows the impact of papers produced by Afshin Nikzad. 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 Afshin Nikzad. The network helps show where Afshin Nikzad may publish in the future.
Co-authorship network of co-authors of Afshin Nikzad
This figure shows the co-authorship network connecting the top 25 collaborators of Afshin Nikzad. A scholar is included among the top collaborators of Afshin Nikzad 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 Afshin Nikzad. Afshin Nikzad 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 39 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 49 | |
| 18 | 30 | |
| 19 | 5 | |
| 20 | Optimal iterative pricing over social networks | 27 |
About Afshin Nikzad
Afshin Nikzad is a scholar working on Management Science and Operations Research, Computer Science Applications and Economics and Econometrics, having authored 34 papers that have together received 382 indexed citations. Recurring topics across this work include Auction Theory and Applications (20 papers), Game Theory and Voting Systems (12 papers) and Economic theories and models (6 papers). The work is most often cited by research in Management Science and Operations Research (234 citations), Computer Science Applications (89 citations) and Marketing (62 citations). Afshin Nikzad has collaborated with scholars based in United States, Iran and Switzerland. Frequent co-authors include Gagan Goel, Itai Ashlagi, Adish Singla, Nima Anari, Georgios Amanatidis, Evangelos Markakis, Amin Saberi, Mohammad Akbarpour, Assaf Romm and Mohammad Ghodsi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Management Science and The Review of Economic Studies.
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.