J. S. Mehta

1.3k total citations
62 papers, 916 citations indexed

About

J. S. Mehta is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, J. S. Mehta has authored 62 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in J. S. Mehta's work include Advanced Statistical Methods and Models (28 papers), Statistical Methods and Inference (25 papers) and Statistical Methods and Bayesian Inference (12 papers). J. S. Mehta is often cited by papers focused on Advanced Statistical Methods and Models (28 papers), Statistical Methods and Inference (25 papers) and Statistical Methods and Bayesian Inference (12 papers). J. S. Mehta collaborates with scholars based in United States, United Kingdom and India. J. S. Mehta's co-authors include P. A. V. B. Swamy, John Gurland, R. Srinivasan, T. E. Dielman, G. V. L. Narasimham, Paul Rappoport, George S. Tavlas, Moumita Das, Stephen G. Hall and Abhishek Kumar Kashyap and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

J. S. Mehta

55 papers receiving 788 citations

Peers

J. S. Mehta

GEEF

MSOR

SPU

Takamitsu Sawa Japan

T. D. Wallace United States

Nagesh S. Revankar United States

Thomas S. Shively United States

Karl Mosler Germany

D. F. Nicholls Australia

David P. Hasza United States

Roger J. Bowden New Zealand

Hiroki Tsurumi United States

Walter Oberhofer Germany

Takamitsu Sawa Japan

J. S. Mehta

484 ×1.1

274 ×1.0

245 ×1.6

GEEF

143 ×1.2

MSOR

74 ×0.7

SPU

Citations per year, relative to J. S. Mehta J. S. Mehta (= 1×) peers Takamitsu Sawa

Countries citing papers authored by J. S. Mehta

Since Specialization

Citations

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

Fields of papers citing papers by J. S. Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Mehta. 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 J. S. Mehta. The network helps show where J. S. Mehta may publish in the future.

Co-authorship network of co-authors of J. S. Mehta

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

All Works

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20 of 20 papers shown

Swamy, P. A. V. B., et al.. (2019). Spurious Regressions in Econometrics: Reconsideration. SSRN Electronic Journal. 1 indexed citations

Swamy, P. A. V. B., et al.. (2017). Endogeneity, Time-Varying Coefficients, and Incorrect vs. Correct Ways of Specifying the Error Terms of Econometric Models. Econometrics. 5(1). 8–8. 2 indexed citations

Swamy, P. A. V. B., Stephen W. Hall, George S. Tavlas, et al.. (2016). A Method for Measuring Treatment Effects on the Treated without Randomization. Econometrics. 4(2). 19–19. 3 indexed citations

Swamy, P. A. V. B., et al.. (2016). Removing Specification Errors from the Usual Formulation of Binary Choice Models. Econometrics. 4(2). 26–26. 2 indexed citations

Swamy, P. A. V. B., et al.. (1996). Circumstances in which different criteria of estimation can be applied to estimate policy effects. Journal of Statistical Planning and Inference. 50(1). 121–153. 13 indexed citations

Mehta, J. S., P. A. V. B. Swamy, & T. E. Dielman. (1990). Pooled Cross-Sectional and Time Series Data Analysis.. Journal of the American Statistical Association. 85(409). 257–257. 98 indexed citations

Mehta, J. S., et al.. (1989). A study of some ridge-type shrinkage estimators. Communication in Statistics- Theory and Methods. 18(12). 4437–4457. 2 indexed citations

Swamy, P. A. V. B., et al.. (1986). An examination of distributed lag model coefficients estimated with smoothness priors. Communication in Statistics- Theory and Methods. 15(6). 1723–1749. 6 indexed citations

Swamy, P. A. V. B. & J. S. Mehta. (1983). Further Results on Zellner's Minimum Expected Loss and Full Information Maximum Likelihood Estimators for Undersized Samples. Journal of Business and Economic Statistics. 1(2). 154–162. 6 indexed citations

10.

Swamy, P. A. V. B. & J. S. Mehta. (1979). Estimation of common coefficients in two regression equations. Journal of Econometrics. 10(1). 1–14. 18 indexed citations

11.

Swamy, P. A. V. B. & J. S. Mehta. (1977). Estimation of Linear Models with Time and Cross-Sectionally Varying Coefficients. Journal of the American Statistical Association. 72(360a). 890–898. 37 indexed citations

12.

Swamy, P. A. V. B. & J. S. Mehta. (1976). Minimum average risk estimators for coefficients in linear models. Communication in Statistics- Theory and Methods. 5(9). 803–818. 16 indexed citations

13.

Swamy, P. A. V. B. & J. S. Mehta. (1975). On Bayesian estimation of seemingly unrelated regressions when some observations are missing. Journal of Econometrics. 3(2). 157–169. 17 indexed citations

14.

Swamy, P. A. V. B. & J. S. Mehta. (1975). Bayesian and Non-Bayesian Analysis of Switching Regressions and of Random Coefficient Regression Models. Journal of the American Statistical Association. 70(351a). 593–602. 110 indexed citations

15.

Mehta, J. S., et al.. (1974). Efficient method of estimating the level of a stationary first-order autoregressive process. Communications in Statistics. 3(1). 81–88. 1 indexed citations

16.

Mehta, J. S. & John Gurland. (1973). A test for equality of means in the presence of correlation and missing values. Biometrika. 60(1). 211–213. 25 indexed citations

17.

Mehta, J. S. & P. A. V. B. Swamy. (1973). On alternative estimators of the difference of means in the presence of missing observations. Trabajos de Estadistica y de Investigacion Operativa. 24(3). 89–97.

18.

Mehta, J. S. & P. A. V. B. Swamy. (1973). Bayesian Analysis of a Bivariate Normal Distribution with Incomplete Observations. Journal of the American Statistical Association. 68(344). 922–922. 2 indexed citations

19.

Mehta, J. S.. (1971). On pooling data-1-Estimation of the mean. Annals of the Institute of Statistical Mathematics. 23(2). 211–224.

20.

Mehta, J. S. & John Gurland. (1969). Testing equality of means in the presence of correlation. Biometrika. 56(1). 119–126. 19 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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