Gitit Gur-Gershgoren
- Economics and Econometrics top 5%
- Statistical and Nonlinear Physics top 5%
- Finance top 5%
- Management Science and Operations Research
- Computer Networks and Communications
- Co-authors
- Eshel Ben‐JacobDror Y. KenettAsaf MadiMichele TumminelloRosario N. MantegnaTobias PreisSharron Bransburg‐ZabaryYoash Shapira
- Topics
- Complex Systems and Time Series Analysis (6 papers)Financial Risk and Volatility Modeling (3 papers)Financial Markets and Investment Strategies (2 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Gitit Gur-Gershgoren
9 papers receiving 466 citations
Peers
Comparison fields: 5 of 70
- Economics and Econometrics 373
- Statistical and Nonlinear Physics 189
- Finance 167
- Management Science and Operations Research 34
- Computer Networks and Communications 31
Countries citing papers authored by Gitit Gur-Gershgoren
This map shows the geographic impact of Gitit Gur-Gershgoren'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 Gitit Gur-Gershgoren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gitit Gur-Gershgoren more than expected).
Fields of papers citing papers by Gitit Gur-Gershgoren
This network shows the impact of papers produced by Gitit Gur-Gershgoren. 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 Gitit Gur-Gershgoren. The network helps show where Gitit Gur-Gershgoren may publish in the future.
Co-authorship network of co-authors of Gitit Gur-Gershgoren
This figure shows the co-authorship network connecting the top 25 collaborators of Gitit Gur-Gershgoren. A scholar is included among the top collaborators of Gitit Gur-Gershgoren 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 Gitit Gur-Gershgoren. Gitit Gur-Gershgoren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Deep-Market by IAS-19: A Unified Cross-Country Approach for Discount Rate Selection | 2 |
| 2 | A Deep Market in Israeli Corporate Bonds: Macro and Microeconomic Analysis in Light of the Accounting Standards | 3 |
| 3 | 22 | |
| 4 | 68 | |
| 5 | 28 | |
| 6 | 60 | |
| 7 | Dynamics of Stock Market Correlations | 23 |
| 8 | 270 | |
| 9 | 6 |
About Gitit Gur-Gershgoren
Gitit Gur-Gershgoren is a scholar working on Finance, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 9 papers that have together received 482 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Financial Risk and Volatility Modeling (3 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Finance (167 citations), Statistical and Nonlinear Physics (189 citations) and Economics and Econometrics (373 citations). Gitit Gur-Gershgoren has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Eshel Ben‐Jacob, Dror Y. Kenett, Asaf Madi, Michele Tumminello, Rosario N. Mantegna, Tobias Preis, Sharron Bransburg‐Zabary, Yoash Shapira, H. Eugene Stanley and Jaime F. Zender. Their work appears in journals such as PLoS ONE, Scientific Reports and Europhysics Letters (EPL).
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.