Nusret Cakici
- Finance top 0.1%
- Economics and Econometrics top 0.2%
- Accounting top 0.5%
- Management Science and Operations Research top 1%
- General Economics, Econometrics and Finance top 2%
- Co-authors
- Turan G. BaliRobert WhitelawAdam ZarembaSinan TanFrank J. FabozziXuemin Sterling YanZhe ZhangAndrew Ang
- Topics
- Financial Markets and Investment Strategies (97 papers)Market Dynamics and Volatility (34 papers)Corporate Finance and Governance (28 papers)
- Partner nations
- United StatesFrancePoland
In The Last Decade
Nusret Cakici
102 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Finance 3.7k
- Economics and Econometrics 2.5k
- Accounting 1.5k
- Management Science and Operations Research 559
- General Economics, Econometrics and Finance 412
Countries citing papers authored by Nusret Cakici
This map shows the geographic impact of Nusret Cakici'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 Nusret Cakici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nusret Cakici more than expected).
Fields of papers citing papers by Nusret Cakici
This network shows the impact of papers produced by Nusret Cakici. 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 Nusret Cakici. The network helps show where Nusret Cakici may publish in the future.
Co-authorship network of co-authors of Nusret Cakici
This figure shows the co-authorship network connecting the top 25 collaborators of Nusret Cakici. A scholar is included among the top collaborators of Nusret Cakici 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 Nusret Cakici. Nusret Cakici 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 46 | |
| 13 | 1 | |
| 14 | 39 | |
| 15 | Maxing out: Stocks as lotteries and the cross-section of expected returnsbreakdown → | 1112 |
| 16 | Hedge Fund Mergers | 1 |
| 17 | Aggregate Idiosyncratic Risk and Market Returns | 4 |
| 18 | Value at Risk and Expected Stock Returns | 11 |
| 19 | How to Grow a Smiling Tree | 19 |
| 20 | 18 |
About Nusret Cakici
Nusret Cakici is a scholar working on Finance, Accounting and Management Science and Operations Research, having authored 109 papers that have together received 4.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (97 papers), Market Dynamics and Volatility (34 papers) and Corporate Finance and Governance (28 papers). The work is most often cited by research in Finance (3.7k citations), Accounting (1.5k citations) and Economics and Econometrics (2.5k citations). Nusret Cakici has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Turan G. Bali, Robert Whitelaw, Adam Zaremba, Sinan Tan, Frank J. Fabozzi, Xuemin Sterling Yan, Zhe Zhang, Andrew Ang, Byeong-Je An and Kishore Tandon. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Management 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.