Ralitsa Petkova
- Finance top 0.5%
- Economics and Econometrics top 1%
- Accounting top 2%
- General Economics, Econometrics and Finance top 2%
- Strategy and Management top 5%
- Co-authors
- Lu ZhangZhanhui ChenL.‐W. Antony ChenC. N. V. KrishnanPeter RitchkenFerhat AkbasB. MessingD. Hochner‐Celnikier
- Topics
- Financial Markets and Investment Strategies (17 papers)Financial Reporting and Valuation Research (5 papers)Financial Risk and Volatility Modeling (5 papers)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Ralitsa Petkova
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Finance 1.4k
- Economics and Econometrics 771
- Accounting 566
- General Economics, Econometrics and Finance 292
- Strategy and Management 260
Countries citing papers authored by Ralitsa Petkova
This map shows the geographic impact of Ralitsa Petkova'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 Ralitsa Petkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralitsa Petkova more than expected).
Fields of papers citing papers by Ralitsa Petkova
This network shows the impact of papers produced by Ralitsa Petkova. 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 Ralitsa Petkova. The network helps show where Ralitsa Petkova may publish in the future.
Co-authorship network of co-authors of Ralitsa Petkova
This figure shows the co-authorship network connecting the top 25 collaborators of Ralitsa Petkova. A scholar is included among the top collaborators of Ralitsa Petkova 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 Ralitsa Petkova. Ralitsa Petkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 137 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 66 | |
| 11 | 1 | |
| 12 | 50 | |
| 13 | 1 | |
| 14 | 77 | |
| 15 | 18 | |
| 16 | Do the Fama–French Factors Proxy for Innovations in Predictive Variables?breakdown → | 507 |
| 17 | 80 | |
| 18 | 2 | |
| 19 | 438 | |
| 20 | 84 |
About Ralitsa Petkova
Ralitsa Petkova is a scholar working on Finance, Strategy and Management and Economics and Econometrics, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (17 papers), Financial Reporting and Valuation Research (5 papers) and Financial Risk and Volatility Modeling (5 papers). The work is most often cited by research in Finance (1.4k citations), Accounting (566 citations) and General Economics, Econometrics and Finance (292 citations). Ralitsa Petkova has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Lu Zhang, Zhanhui Chen, L.‐W. Antony Chen, C. N. V. Krishnan, Peter Ritchken, Ferhat Akbas, B. Messing, D. Hochner‐Celnikier, D. Rosenak and D. V. Valsky. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Review of Financial 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.