Pradeep K. Yadav
- Finance top 1%
- Economics and Econometrics top 2%
- Accounting top 2%
- General Economics, Econometrics and Finance top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Peter F. PopeNarayan Y. NaikStephen J. TaylorYuanyuan ZhangJohn J. MerrickScott C. LinnGeoffrey LoudonAlexander Kempf
- Topics
- Financial Markets and Investment Strategies (38 papers)Corporate Finance and Governance (23 papers)Market Dynamics and Volatility (15 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Pradeep K. Yadav
57 papers receiving 899 citations
Peers
Comparison fields: 5 of 50
- Finance 838
- Economics and Econometrics 547
- Accounting 353
- General Economics, Econometrics and Finance 167
- Management Science and Operations Research 69
Countries citing papers authored by Pradeep K. Yadav
This map shows the geographic impact of Pradeep K. Yadav'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 Pradeep K. Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep K. Yadav more than expected).
Fields of papers citing papers by Pradeep K. Yadav
This network shows the impact of papers produced by Pradeep K. Yadav. 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 Pradeep K. Yadav. The network helps show where Pradeep K. Yadav may publish in the future.
Co-authorship network of co-authors of Pradeep K. Yadav
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep K. Yadav. A scholar is included among the top collaborators of Pradeep K. Yadav 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 Pradeep K. Yadav. Pradeep K. Yadav 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 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | The Pricing of Liquidity Dimensions in Corporate Bonds | 0 |
| 8 | A Reliability Model for the Task Scheduling in Distributed Systems based on Fuzzy Theory | 0 |
| 9 | 9 | |
| 10 | 87 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 88 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | Threshold autoregressive modelling in finance: the pricing of equivalent assets | 2 |
| 19 | 6 | |
| 20 | 91 |
About Pradeep K. Yadav
Pradeep K. Yadav is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (38 papers), Corporate Finance and Governance (23 papers) and Market Dynamics and Volatility (15 papers). The work is most often cited by research in Finance (838 citations), Accounting (353 citations) and General Economics, Econometrics and Finance (167 citations). Pradeep K. Yadav has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Peter F. Pope, Narayan Y. Naik, Stephen J. Taylor, Yuanyuan Zhang, John J. Merrick, Scott C. Linn, Geoffrey Loudon, Alexander Kempf, Veljko Fotak and Ginka Borisova. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Journal of Banking & Finance.
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.