Bimal K. Sinha

2.7k total citations
111 papers, 1.8k citations indexed

About

Bimal K. Sinha is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Bimal K. Sinha has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 18 papers in Management Science and Operations Research. Recurrent topics in Bimal K. Sinha's work include Advanced Statistical Methods and Models (40 papers), Statistical Methods and Bayesian Inference (29 papers) and Statistical Distribution Estimation and Applications (27 papers). Bimal K. Sinha is often cited by papers focused on Advanced Statistical Methods and Models (40 papers), Statistical Methods and Bayesian Inference (29 papers) and Statistical Distribution Estimation and Applications (27 papers). Bimal K. Sinha collaborates with scholars based in United States, India and Canada. Bimal K. Sinha's co-authors include Zhidong Bai, Zehua Chen, Guido Knapp, Joachim Härtung, Thomas Mathew, André I. Khuri, Takeaki Kariya, Bikas K. Sinha, Kenny Ye and Malay Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Bimal K. Sinha

105 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bimal K. Sinha United States 19 1.2k 539 241 221 67 111 1.8k
Samaradasa Weerahandi United States 19 1.4k 1.1× 610 1.1× 367 1.5× 220 1.0× 68 1.0× 48 2.0k
K. Krishnamoorthy United States 28 1.6k 1.3× 719 1.3× 333 1.4× 283 1.3× 93 1.4× 125 2.8k
Thomas Mathew United States 25 1.5k 1.3× 729 1.4× 469 1.9× 232 1.0× 118 1.8× 148 2.6k
Gary C. McDonald United States 13 908 0.7× 414 0.8× 187 0.8× 163 0.7× 148 2.2× 68 1.7k
Mervyn J. Silvapulle Australia 18 840 0.7× 203 0.4× 255 1.1× 192 0.9× 52 0.8× 57 1.8k
Ronald H. Randles United States 25 2.0k 1.7× 565 1.0× 363 1.5× 451 2.0× 79 1.2× 76 3.1k
Anthony J. Hayter United States 19 814 0.7× 279 0.5× 536 2.2× 89 0.4× 76 1.1× 105 1.6k
Edward J. Dudewicz United States 23 1.2k 1.0× 558 1.0× 547 2.3× 407 1.8× 101 1.5× 112 2.3k
Thomas P. Hettmansperger United States 31 2.6k 2.1× 808 1.5× 463 1.9× 463 2.1× 113 1.7× 125 3.4k

Countries citing papers authored by Bimal K. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Bimal K. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bimal K. Sinha. 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 Bimal K. Sinha. The network helps show where Bimal K. Sinha may publish in the future.

Co-authorship network of co-authors of Bimal K. Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Bimal K. Sinha. A scholar is included among the top collaborators of Bimal K. Sinha 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 Bimal K. Sinha. Bimal K. Sinha 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.
2.
Sinha, Bimal K., et al.. (2019). Finite Sample Inference for Multiply Imputed Synthetic Data under a Multiple Linear Regression Model. Calcutta Statistical Association Bulletin. 71(2). 63–82. 2 indexed citations
3.
Mathew, Thomas, et al.. (2014). Likelihood Based Inference Under Noise Multiplication. 12(1). 1–23. 2 indexed citations
4.
Nayak, Tapan K., Bimal K. Sinha, & Laura Zayatz. (2011). Statistical Properties of Multiplicative Noise Masking for Confidentiality Protection. Journal of Official Statistics. 27(3). 527–544. 13 indexed citations
5.
Sinha, Bimal K., et al.. (2011). Usage of Electronic Resources Available Under UGC-INFONET Digital Library Consortium by Assam University Library Users. SSRN Electronic Journal. 11 indexed citations
6.
Härtung, Joachim, Guido Knapp, & Bimal K. Sinha. (2008). Statistical Meta‐Analysis with Applications. Wiley series in probability and statistics. 300 indexed citations
7.
Tiensuwan, Montip, et al.. (2007). Nonnegative Unbiased Estimation of Scale Parameters and Associated Quantiles Based on a Ranked Set Sample. Communications in Statistics - Simulation and Computation. 36(1). 3–31. 10 indexed citations
8.
Sinha, Bimal K., et al.. (2006). On some aspects of estimation of a common mean of two independent normal populations. Journal of Statistical Planning and Inference. 137(1). 184–193. 7 indexed citations
9.
Sinha, Bimal K., et al.. (2004). Outcome of surgical management of laryngeal carcinoma: a 5-year experience. Acta Oto-Laryngologica. 124(6). 739–743. 3 indexed citations
10.
Sinha, Bimal K., et al.. (2004). Distribution of Lymph Nodes in the Neck in Cases of Tuberculous Cervical Lymphadenitis. Acta Oto-Laryngologica. 124(9). 1095–1098. 25 indexed citations
11.
Sinha, Bimal K., et al.. (2004). Penetrating injury of parotid gland and external auditory canal: a unique combination. The Journal of Laryngology & Otology. 118(12). 977–979. 2 indexed citations
12.
Khuri, André I., Thomas Mathew, & Bimal K. Sinha. (1998). Statistical Texts for Mixed Linear Models. Wiley series in probability and statistics. 82 indexed citations
13.
Sinha, Bikas K., et al.. (1995). An application of bivariate exponential models and related inference. Journal of Statistical Planning and Inference. 44(2). 181–191. 1 indexed citations
14.
Mathew, Thomas & Bimal K. Sinha. (1992). Exact and Optimum Tests in Unbalanced Split-Plot Designs under Mixed and Random Models. Journal of the American Statistical Association. 87(417). 192–200. 7 indexed citations
15.
Mathew, Thomas & Bimal K. Sinha. (1991). Towards an optimum test for non-additivity in Tukey's model. Journal of Multivariate Analysis. 36(1). 68–94. 1 indexed citations
16.
Mathew, Thomas & Bimal K. Sinha. (1988). Optimum Tests for Fixed Effects and Variance Components in Balanced Models. Journal of the American Statistical Association. 83(401). 133–135. 15 indexed citations
17.
Sinha, Bimal K. & H. Samuel Wieand. (1977). Multivariate nonparametric tests for independence. Journal of Multivariate Analysis. 7(4). 572–583. 9 indexed citations
18.
Ghosh, Jayanta K., Bikas K. Sinha, & Bimal K. Sinha. (1977). Multivariate power series distributions and Neyman's properties for multinomials. Journal of Multivariate Analysis. 7(3). 397–408. 3 indexed citations
19.
Ghosh, Malay, Bimal K. Sinha, & Nitis Mukhopadhyay. (1976). Multivariate sequential point estimation. Journal of Multivariate Analysis. 6(2). 281–294. 38 indexed citations
20.
Sinha, Bimal K.. (1976). On improved estimators of the generalized variance. Journal of Multivariate Analysis. 6(4). 617–625. 24 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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