Mudit Kapoor
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 5%
- Finance top 10%
- Sociology and Political Science
- Accounting top 10%
- Co-authors
- Ingmar R. PruchaHarry H. KelejianShamika RaviRavi JagannathanErnst SchaumburgTarun JainDavid Le BlancJonathan Morduch
- Topics
- Urban and Rural Development Challenges (5 papers)Housing Market and Economics (4 papers)Corruption and Economic Development (3 papers)
- Journals
- The Review of Economics and StatisticsJournal of EconometricsJournal of Financial Intermediation
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Mudit Kapoor
24 papers receiving 714 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Economics and Econometrics 589
- General Economics, Econometrics and Finance 95
- Finance 74
- Sociology and Political Science 66
- Accounting 61
Countries citing papers authored by Mudit Kapoor
This map shows the geographic impact of Mudit Kapoor'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 Mudit Kapoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudit Kapoor more than expected).
Fields of papers citing papers by Mudit Kapoor
This network shows the impact of papers produced by Mudit Kapoor. 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 Mudit Kapoor. The network helps show where Mudit Kapoor may publish in the future.
Co-authorship network of co-authors of Mudit Kapoor
This figure shows the co-authorship network connecting the top 25 collaborators of Mudit Kapoor. A scholar is included among the top collaborators of Mudit Kapoor 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 Mudit Kapoor. Mudit Kapoor 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 | 7 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | Country risk analysis | 3 |
| 15 | 11 | |
| 16 | From Microfinance to m-Finance | 5 |
| 17 | Panel data models with spatially correlated error componentsbreakdown → | 539 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | Title of Dissertation: PANEL DATA MODELS WITH SPATIAL CORRELATION: ESTIMATION THEORY AND EMPIRICAL INVESTIGATION OF THE US WHOLESALE GASOLINE INDUSTRY | 1 |
About Mudit Kapoor
Mudit Kapoor is a scholar working on Urban Studies, General Economics, Econometrics and Finance and Accounting, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include Urban and Rural Development Challenges (5 papers), Housing Market and Economics (4 papers) and Corruption and Economic Development (3 papers). The work is most often cited by research in Economics and Econometrics (589 citations), General Economics, Econometrics and Finance (95 citations) and Finance (74 citations). Mudit Kapoor has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Ingmar R. Prucha, Harry H. Kelejian, Shamika Ravi, Ravi Jagannathan, Ernst Schaumburg, Tarun Jain, David Le Blanc, Jonathan Morduch, Sisir Debnath and Antoinette Schoar. Their work appears in journals such as The Review of Economics and Statistics, Journal of Econometrics and Journal of Financial Intermediation.
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.