Arnab Chatterjee
- Statistical and Nonlinear Physics top 0.5%
- Economics and Econometrics top 1%
- Sociology and Political Science top 5%
- Condensed Matter Physics top 5%
- Transportation top 5%
- Co-authors
- Bikas K. ChakrabartiS. S. MannaParongama SenAnirban ChakrabortiSudhakar YarlagaddaG. MukherjeeSubinay DasguptaP. A. Sreeram
- Topics
- Complex Systems and Time Series Analysis (21 papers)Complex Network Analysis Techniques (17 papers)Opinion Dynamics and Social Influence (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Arnab Chatterjee
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Statistical and Nonlinear Physics 1.1k
- Economics and Econometrics 935
- Sociology and Political Science 311
- Condensed Matter Physics 271
- Transportation 143
Countries citing papers authored by Arnab Chatterjee
This map shows the geographic impact of Arnab Chatterjee'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 Arnab Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Chatterjee more than expected).
Fields of papers citing papers by Arnab Chatterjee
This network shows the impact of papers produced by Arnab Chatterjee. 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 Arnab Chatterjee. The network helps show where Arnab Chatterjee may publish in the future.
Co-authorship network of co-authors of Arnab Chatterjee
This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Chatterjee. A scholar is included among the top collaborators of Arnab Chatterjee 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 Arnab Chatterjee. Arnab Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 36 | |
| 5 | 39 | |
| 6 | 12 | |
| 7 | 48 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | Econophysics and Sociophysics : Trends and Perspectives | 159 |
| 15 | Econophysics of stock and other markets : proceedings of the Econophys-Kolkata II | 5 |
| 16 | Econophysics of wealth distributions : Econophys-Kolkata I | 18 |
| 17 | 61 | |
| 18 | 11 | |
| 19 | Small-world properties of the Indian railway networkbreakdown → | 393 |
| 20 | 21 |
About Arnab Chatterjee
Arnab Chatterjee is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Condensed Matter Physics, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (21 papers), Complex Network Analysis Techniques (17 papers) and Opinion Dynamics and Social Influence (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Economics and Econometrics (935 citations) and Condensed Matter Physics (271 citations). Arnab Chatterjee has collaborated with scholars based in India, Finland and Italy. Frequent co-authors include Bikas K. Chakrabarti, S. S. Manna, Parongama Sen, Anirban Chakraborti, Sudhakar Yarlagadda, G. Mukherjee, Subinay Dasgupta, P. A. Sreeram, Asim Ghosh and Satya R. Chakravarty. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.