Parameswaran Gopikrishnan
- Economics and Econometrics top 0.05%
- Finance top 0.1%
- Statistical and Nonlinear Physics top 0.2%
- Condensed Matter Physics top 1%
- Management Science and Operations Research top 1%
- Co-authors
- H. Eugene StanleyVasiliki PlerouLuı́s A. Nunes AmaralXavier GabaixBernd RosenowMartin MeyerThomas GuhrChung‐Kang Peng
- Topics
- Complex Systems and Time Series Analysis (46 papers)Theoretical and Computational Physics (25 papers)Financial Risk and Volatility Modeling (15 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Parameswaran Gopikrishnan
47 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Economics and Econometrics 5.8k
- Finance 3.4k
- Statistical and Nonlinear Physics 2.3k
- Condensed Matter Physics 1.1k
- Management Science and Operations Research 592
Countries citing papers authored by Parameswaran Gopikrishnan
This map shows the geographic impact of Parameswaran Gopikrishnan'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 Parameswaran Gopikrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parameswaran Gopikrishnan more than expected).
Fields of papers citing papers by Parameswaran Gopikrishnan
This network shows the impact of papers produced by Parameswaran Gopikrishnan. 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 Parameswaran Gopikrishnan. The network helps show where Parameswaran Gopikrishnan may publish in the future.
Co-authorship network of co-authors of Parameswaran Gopikrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Parameswaran Gopikrishnan. A scholar is included among the top collaborators of Parameswaran Gopikrishnan 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 Parameswaran Gopikrishnan. Parameswaran Gopikrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 31 | |
| 3 | 65 | |
| 4 | 60 | |
| 5 | A theory of power-law distributions in financial market fluctuationsbreakdown → | 873 |
| 6 | 85 | |
| 7 | 32 | |
| 8 | 153 | |
| 9 | Random matrix approach to cross correlations in financial databreakdown → | 593 |
| 10 | 4 | |
| 11 | 132 | |
| 12 | 39 | |
| 13 | 87 | |
| 14 | 1 | |
| 15 | 397 | |
| 16 | 112 | |
| 17 | Statistical properties of the volatility of price fluctuationsbreakdown → | 532 |
| 18 | Scaling of the distribution of fluctuations of financial market indicesbreakdown → | 628 |
| 19 | 16 | |
| 20 | 359 |
About Parameswaran Gopikrishnan
Parameswaran Gopikrishnan is a scholar working on Condensed Matter Physics, Finance and Statistical and Nonlinear Physics, having authored 47 papers that have together received 6.7k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (46 papers), Theoretical and Computational Physics (25 papers) and Financial Risk and Volatility Modeling (15 papers). The work is most often cited by research in Finance (3.4k citations), Economics and Econometrics (5.8k citations) and Statistical and Nonlinear Physics (2.3k citations). Parameswaran Gopikrishnan has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include H. Eugene Stanley, Vasiliki Plerou, Luı́s A. Nunes Amaral, Xavier Gabaix, Bernd Rosenow, Martin Meyer, Thomas Guhr, Chung‐Kang Peng, Yanhui Liu and Yang Liu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.