Kanishka Misra
- Marketing top 2%
- Economics and Econometrics top 5%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Strategy and Management top 10%
- Co-authors
- Paolo SuricoKarsten T. HansenAnja LambrechtVishal SinghJacob AbernethyEric M. SchwartzMallesh M. PaiBenjamin Handel
- Topics
- Consumer Market Behavior and Pricing (22 papers)Digital Platforms and Economics (6 papers)Merger and Competition Analysis (5 papers)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Kanishka Misra
35 papers receiving 732 citations
Peers
Comparison fields: 5 of 79
- Marketing 365
- Economics and Econometrics 257
- Sociology and Political Science 164
- Management Science and Operations Research 155
- Strategy and Management 132
Countries citing papers authored by Kanishka Misra
This map shows the geographic impact of Kanishka Misra'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 Kanishka Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanishka Misra more than expected).
Fields of papers citing papers by Kanishka Misra
This network shows the impact of papers produced by Kanishka Misra. 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 Kanishka Misra. The network helps show where Kanishka Misra may publish in the future.
Co-authorship network of co-authors of Kanishka Misra
This figure shows the co-authorship network connecting the top 25 collaborators of Kanishka Misra. A scholar is included among the top collaborators of Kanishka Misra 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 Kanishka Misra. Kanishka Misra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 63 | |
| 9 | 21 | |
| 10 | Algorithmic Collusion: Supra-Competitive Prices via Independent Algorithms | 8 |
| 11 | 5 | |
| 12 | 97 | |
| 13 | 10 | |
| 14 | Countercyclical Pricing: A Consumer Heterogeneity Explanation | 2 |
| 15 | Consumption, Income Changes and Heterogeneity: Evidence from Two Fiscal Stimulus Programmes | 6 |
| 16 | 99 | |
| 17 | 22 | |
| 18 | Heterogeneous Responses and Aggregate Impact of the 2001 Income Tax Rebates | 3 |
| 19 | 48 | |
| 20 | 1 |
About Kanishka Misra
Kanishka Misra is a scholar working on Marketing, Tourism, Leisure and Hospitality Management and Management Science and Operations Research, having authored 37 papers that have together received 786 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (22 papers), Digital Platforms and Economics (6 papers) and Merger and Competition Analysis (5 papers). The work is most often cited by research in Marketing (365 citations), Management Science and Operations Research (155 citations) and Management Information Systems (83 citations). Kanishka Misra has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Paolo Surico, Karsten T. Hansen, Anja Lambrecht, Vishal Singh, Jacob Abernethy, Eric M. Schwartz, Mallesh M. Pai, Benjamin Handel, Vincent R. Nijs and Naufel J. Vilcassim. Their work appears in journals such as Journal of Marketing, Management Science and Psychological Science.
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.