I. M. Chakravarti

3.2k total citations · 2 hit papers
39 papers, 2.3k citations indexed

About

I. M. Chakravarti is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, I. M. Chakravarti has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in I. M. Chakravarti's work include graph theory and CDMA systems (15 papers), Optimal Experimental Design Methods (11 papers) and Finite Group Theory Research (6 papers). I. M. Chakravarti is often cited by papers focused on graph theory and CDMA systems (15 papers), Optimal Experimental Design Methods (11 papers) and Finite Group Theory Research (6 papers). I. M. Chakravarti collaborates with scholars based in United States, Switzerland and Morocco. I. M. Chakravarti's co-authors include Gwilym M. Jenkins, George E. P. Box, R. G. Laha, Jason Roy, C. Radhakrishna Rao, E. Seneta, David M. Allen, R. C. Bose, David R. Brillinger and Marvin J. Karson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

I. M. Chakravarti

37 papers receiving 2.1k citations

Hit Papers

Time Series Analysis Forecasting and Control. 1969 2026 1988 2007 1973 1969 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. M. Chakravarti United States 14 398 368 333 206 183 39 2.3k
Allen T. Craig 7 260 0.7× 338 0.9× 157 0.5× 394 1.9× 104 0.6× 9 2.3k
Ronald E. Walpole United States 18 193 0.5× 401 1.1× 435 1.3× 167 0.8× 213 1.2× 32 4.3k
G. J. Lieberman United States 17 583 1.5× 286 0.8× 281 0.8× 295 1.4× 106 0.6× 36 3.4k
Paul G. Hoel United States 23 552 1.4× 366 1.0× 232 0.7× 490 2.4× 138 0.8× 54 3.7k
Henry B. Mann United States 19 128 0.3× 389 1.1× 378 1.1× 168 0.8× 141 0.8× 53 2.5k
Peter D. Welch United States 12 495 1.2× 191 0.5× 130 0.4× 373 1.8× 151 0.8× 20 2.1k
Robert Hooke United States 12 269 0.7× 555 1.5× 501 1.5× 145 0.7× 240 1.3× 39 4.5k
Larry Rabinowitz United States 4 147 0.4× 367 1.0× 160 0.5× 206 1.0× 136 0.7× 5 2.4k
Reuven R. Levary United States 14 443 1.1× 436 1.2× 455 1.4× 139 0.7× 137 0.7× 63 4.2k
Sidney Yakowitz United States 24 293 0.7× 629 1.7× 170 0.5× 417 2.0× 203 1.1× 39 2.5k

Countries citing papers authored by I. M. Chakravarti

Since Specialization
Citations

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

Fields of papers citing papers by I. M. Chakravarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. M. Chakravarti. 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 I. M. Chakravarti. The network helps show where I. M. Chakravarti may publish in the future.

Co-authorship network of co-authors of I. M. Chakravarti

This figure shows the co-authorship network connecting the top 25 collaborators of I. M. Chakravarti. A scholar is included among the top collaborators of I. M. Chakravarti 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 I. M. Chakravarti. I. M. Chakravarti 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
2.
Morgan, John P. & I. M. Chakravarti. (1988). Block Designs for First and Second Order Neighbor Correlations. The Annals of Statistics. 16(3). 23 indexed citations
3.
Chakravarti, I. M., et al.. (1986). Efficient Two-Factor Balanced Designs. Journal of the Royal Statistical Society Series B (Statistical Methodology). 48(1). 107–114. 8 indexed citations
4.
Chakravarti, I. M., et al.. (1985). Balanced factorial designs with two-way elimination of heterogeneity. Biometrika. 72(2). 391–402. 4 indexed citations
5.
Chakravarti, I. M. & Catherine Burton. (1982). On the algebras of symmetries (groups of collineations) of designs from finite Desarguesian planes with applications in statistics. Journal of Mathematical Analysis and Applications. 89(2). 515–529. 2 indexed citations
6.
Peers, H. W. & I. M. Chakravarti. (1981). Asymptotic Theory of Statistical Tests and Estimation: In Honor of Wassily Hoeffding.. Journal of the Royal Statistical Society Series A (General). 144(3). 369–369. 6 indexed citations
7.
Chakravarti, I. M.. (1975). On a characterization of irreducibility of a non-negative matrix. Linear Algebra and its Applications. 10(2). 103–109. 11 indexed citations
8.
Chakravarti, I. M. & E. Seneta. (1975). Non-Negative Matrices: An Introduction to Theory and Applications.. Journal of the American Statistical Association. 70(350). 490–490. 116 indexed citations
9.
Chakravarti, I. M.. (1971). On generalized inverses in a linear associative algebra and their applications in the analysis of a class of designs. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
11.
Bose, R. C. & I. M. Chakravarti. (1966). Hermitian Varieties in a Finite Projective Space PG(N, q2). Canadian Journal of Mathematics. 18. 1161–1182. 50 indexed citations
12.
Bose, R. C., I. M. Chakravarti, & Donald E. Knuth. (1961). On Methods of Constructing Sets of Mutually Orthogonal Latin Squares Using a Computer. II. Technometrics. 3(1). 111–117. 2 indexed citations
13.
Chakravarti, I. M., et al.. (1961). On Methods of Constructing Sets of Mutually Orthogonal Latin Squares Using a Computer. II. Technometrics. 3(1). 111–111. 4 indexed citations
14.
Chakravarti, I. M.. (1961). On Some Methods of Construction of Partially Balanced Arrays. The Annals of Mathematical Statistics. 32(4). 1181–1185. 28 indexed citations
15.
Rudra, Ashok, et al.. (1961). Studies on Consumer Behaviour.. Journal of the Royal Statistical Society Series A (General). 124(4). 585–585. 8 indexed citations
16.
Bose, R. C. & I. M. Chakravarti. (1961). A coding problem arising in the transmission of numerical data. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
17.
Roy, Jibendu Sekhar & I. M. Chakravarti. (1960). Estimating the Mean of a Finite Population. The Annals of Mathematical Statistics. 31(2). 392–398. 19 indexed citations
18.
Bose, R. C., I. M. Chakravarti, & Donald E. Knuth. (1960). On Methods of Constructing Sets of Mutually Orthogonal Latin Squares Using a Computer. I. Technometrics. 2(4). 507–507. 7 indexed citations
19.
Chakravarti, I. M. & C. Radhakrishna Rao. (1959). Tables for some small sample tests of significance for Poisson distributions and 2×3 contingency tables. 12 indexed citations
20.
Chakravarti, I. M.. (1956). Fractional replication in asymmetrical factorial designs and partially balanced arrays. 17. 143–164. 87 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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