Sangit Chätterjee

2.1k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

Sangit Chätterjee is a scholar working on Economics and Econometrics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Sangit Chätterjee has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Economics and Econometrics, 24 papers in Statistics and Probability and 13 papers in Artificial Intelligence. Recurrent topics in Sangit Chätterjee's work include Sports Analytics and Performance (21 papers), Advanced Statistical Methods and Models (18 papers) and Sports Dynamics and Biomechanics (9 papers). Sangit Chätterjee is often cited by papers focused on Sports Analytics and Performance (21 papers), Advanced Statistical Methods and Models (18 papers) and Sports Dynamics and Biomechanics (9 papers). Sangit Chätterjee collaborates with scholars based in United States, Mexico and Latvia. Sangit Chätterjee's co-authors include Markus Goldstein, William R. Dillon, Mustafa Yılmaz, S. G. Badrinath, Frederick Wiseman, Samprit Chatterjee, Aykut Firat, Ronald J. Wonnacott, Ravi Sarathy and Bruce H. Clark and has published in prestigious journals such as Journal of the American Statistical Association, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Sangit Chätterjee

75 papers receiving 1.4k citations

Hit Papers

Multivariate Analysis: Methods and Applications 1985 2026 1998 2012 1985 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sangit Chätterjee United States 18 337 236 225 188 160 75 1.6k
SRJ United States 9 127 0.4× 193 0.8× 384 1.7× 79 0.4× 138 0.9× 10 2.0k
Robert B. Miller United States 17 547 1.6× 275 1.2× 321 1.4× 431 2.3× 251 1.6× 73 2.6k
Kenneth N. Berk United States 18 294 0.9× 174 0.7× 517 2.3× 223 1.2× 180 1.1× 54 1.8k
Anja Struyf Belgium 21 323 1.0× 187 0.8× 356 1.6× 166 0.9× 98 0.6× 26 1.9k
W. R. Buckland United Kingdom 21 277 0.8× 175 0.7× 428 1.9× 128 0.7× 207 1.3× 62 1.9k
P. R. Fisk United Kingdom 11 506 1.5× 192 0.8× 591 2.6× 244 1.3× 226 1.4× 23 2.1k
Campbell B. Read United States 11 156 0.5× 308 1.3× 700 3.1× 86 0.5× 270 1.7× 37 2.4k
Hrishikesh D. Vinod United States 27 905 2.7× 352 1.5× 661 2.9× 323 1.7× 346 2.2× 144 3.1k
Harry V. Roberts United States 22 550 1.6× 304 1.3× 768 3.4× 320 1.7× 499 3.1× 79 3.0k
Ray D. Nelson United States 12 221 0.7× 317 1.3× 148 0.7× 117 0.6× 196 1.2× 21 2.0k

Countries citing papers authored by Sangit Chätterjee

Since Specialization
Citations

This map shows the geographic impact of Sangit Chätterjee'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 Sangit Chätterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangit Chätterjee more than expected).

Fields of papers citing papers by Sangit Chätterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangit Chätterjee. 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 Sangit Chätterjee. The network helps show where Sangit Chätterjee may publish in the future.

Co-authorship network of co-authors of Sangit Chätterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sangit Chätterjee. A scholar is included among the top collaborators of Sangit Chätterjee 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 Sangit Chätterjee. Sangit Chätterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Firat, Aykut, Sangit Chätterjee, & Mustafa Yılmaz. (2007). Genetic clustering of social networks using random walks. Computational Statistics & Data Analysis. 51(12). 6285–6294. 40 indexed citations
2.
Rohm, Andrew J., Sangit Chätterjee, & Mohamed Habibullah. (2004). Strategic measure of competitiveness for ranked data. Managerial and Decision Economics. 25(2). 103–108. 12 indexed citations
3.
Yılmaz, Mustafa & Sangit Chätterjee. (2003). Salaries, Performance, and Owners' Goals in Major League Baseball: A View through Data. Journal of managerial issues. 15(2). 243. 10 indexed citations
4.
Wiseman, Frederick & Sangit Chätterjee. (2003). Team payroll and team performance in major league baseball: 1985-2002. Economics bulletin. 1(2). 1–10. 26 indexed citations
5.
Chätterjee, Sangit, et al.. (2000). An approximate entropy test for randomness. Communication in Statistics- Theory and Methods. 29(3). 655–675. 8 indexed citations
6.
Yılmaz, Mustafa & Sangit Chätterjee. (2000). Patterns of NBA team performance from 1950 to 1998. Journal of Applied Statistics. 27(5). 555–566. 6 indexed citations
7.
Yılmaz, Mustafa & Sangit Chätterjee. (2000). Six Sigma Beyond Manufacturing-A Concept for Robust Management. Quality Management Journal. 7(3). 67–78. 12 indexed citations
8.
Wiseman, Frederick & Sangit Chätterjee. (1997). Major League Baseball Player Salaries: Bringing Realism into Introductory Statistics Courses. The American Statistician. 51(4). 350–352. 3 indexed citations
9.
Chätterjee, Sangit, et al.. (1997). Evolution of team sports: a case study for National Basketball Association.. Journal of sport behavior. 20(4). 412–423. 7 indexed citations
10.
Chätterjee, Sangit, et al.. (1997). Who is the Greatest Rebounder of all Time?. CHANCE. 10(1). 22–25. 3 indexed citations
11.
Wiseman, Frederick & Sangit Chätterjee. (1997). Major League Baseball Player Salaries: Bringing Realism into Introductory Statistics Courses. The American Statistician. 51(4). 350–350. 1 indexed citations
12.
Chätterjee, Sangit, et al.. (1995). Gender and performance in athletics. Social Biology. 42(1-2). 124–132. 9 indexed citations
13.
Chätterjee, Sangit & Mustafa Yılmaz. (1992). Use of estimated fractal dimension in model identification for time series. Journal of Statistical Computation and Simulation. 41(3-4). 129–141. 8 indexed citations
14.
Badrinath, S. G. & Sangit Chätterjee. (1991). A Data-Analytic Look at Skewness and Elongation in Common-Stock-Return Distributions. Journal of Business and Economic Statistics. 9(2). 223–233. 50 indexed citations
15.
Chätterjee, Sangit, et al.. (1990). BOOTSTRAPPING THE NUMBER OF FACTORS IN THE ARBITRAGE PRICING THEORY. The Journal of Financial Research. 13(1). 15–21. 4 indexed citations
16.
Chätterjee, Sangit, et al.. (1989). Inference in a Binary Response Model with Applications to Data Analysis*. Decision Sciences. 20(2). 393–403. 7 indexed citations
17.
Chatterjee, Samprit & Sangit Chätterjee. (1987). On Combining Expert Opinions. American Journal of Mathematical and Management Sciences. 7(3-4). 271–295. 13 indexed citations
18.
Weisberg, Herbert I., et al.. (1984). Predicting Insurance Losses Under Cross-Classification: A Comparison of Alternative Approaches. Journal of Business and Economic Statistics. 2(2). 170–178. 12 indexed citations
19.
Chatterjee, Samprit & Sangit Chätterjee. (1983). Estimation of misclassification probabilities by bootstrap methods. Communications in Statistics - Simulation and Computation. 12(6). 645–656. 24 indexed citations
20.
Chatterjee, Samprit & Sangit Chätterjee. (1982). New Lamps for Old: An Exploratory Analysis of Running Times in Olympic Games. Journal of the Royal Statistical Society Series C (Applied Statistics). 31(1). 14–14. 26 indexed citations

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.

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