Partha Lahiri
- Statistics and Probability top 0.5%
- Economics and Econometrics top 2%
- Management Science and Operations Research top 1%
- General Agricultural and Biological Sciences top 1%
- Artificial Intelligence top 10%
- Co-authors
- Jiming JiangGauri Sankar DattaJ. N. K. RaoMichael LarsenHuilin LiTapabrata MaitiSnigdhansu ChatterjeeVipin Arora
- Topics
- Statistical Methods and Bayesian Inference (37 papers)Statistical Methods and Inference (20 papers)Spatial and Panel Data Analysis (16 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchGeneral Agricultural and Biological Sciences
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Partha Lahiri
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 878
- Economics and Econometrics 649
- Management Science and Operations Research 607
- General Agricultural and Biological Sciences 211
- Artificial Intelligence 187
Countries citing papers authored by Partha Lahiri
This map shows the geographic impact of Partha Lahiri'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 Partha Lahiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Lahiri more than expected).
Fields of papers citing papers by Partha Lahiri
This network shows the impact of papers produced by Partha Lahiri. 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 Partha Lahiri. The network helps show where Partha Lahiri may publish in the future.
Co-authorship network of co-authors of Partha Lahiri
This figure shows the co-authorship network connecting the top 25 collaborators of Partha Lahiri. A scholar is included among the top collaborators of Partha Lahiri 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 Partha Lahiri. Partha Lahiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 23 | |
| 10 | A strictly positive estimator of intra-cluster correlation for the one-way random eects model | 1 |
| 11 | An Empirical Best Linear Unbiased Prediction Approach to Small-Area Estimation of Crop Parameters | 3 |
| 12 | 51 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | ON A SIMPLIFICATION OF THE LINEAR PROGRAMMING APPROACH TO CONTROLLED SAMPLING | 1 |
| 16 | ON THE SUPERIORITY OF THE BAYESIAN METHOD OVER THE BLUP IN SMALL AREA ESTIMATION PROBLEMS | 36 |
| 17 | 111 | |
| 18 | 23 | |
| 19 | 1 | |
| 20 | 1 |
About Partha Lahiri
Partha Lahiri is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (37 papers), Statistical Methods and Inference (20 papers) and Spatial and Panel Data Analysis (16 papers). The work is most often cited by research in Statistics and Probability (878 citations), Management Science and Operations Research (607 citations) and General Agricultural and Biological Sciences (211 citations). Partha Lahiri has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Jiming Jiang, Gauri Sankar Datta, J. N. K. Rao, Michael Larsen, Huilin Li, Tapabrata Maiti, Snigdhansu Chatterjee, Vipin Arora, Benmei Liu and Shijie Chen. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Statistics in Medicine.
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.