Ranjan Maitra
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Bayesian Methods and Mixture Models 20
- Advanced Clustering Algorithms Research 13
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- Advanced MRI Techniques and Applications 11
- Medical Imaging Techniques and Applications 8
- Co-authors
- Volodymyr Melnykov (5 shared papers)Wei‐Chen Chen (6 shared papers)Darren L. Johnson (4 shared papers)Rao P. Gullapalli (3 shared papers)Gregory P. Graziano (1 shared paper)Douglas C. Moore (1 shared paper)Steven A. Goldstein (1 shared paper)Steven Roys (1 shared paper)
- Journals
- Journal of Computational and Graphical Statistics (8 papers)Technometrics (5 papers)Journal of the American Statistical Association (4 papers)The Annals of Applied Statistics (3 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (3 papers)
- Partner nations
- United StatesIndiaIreland
In The Last Decade
Ranjan Maitra
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 157
- Computational Mathematics 18
- Statistics and Probability 206
- Artificial Intelligence 531
- Signal Processing 145
- Cognitive Neuroscience 158
Countries citing papers authored by Ranjan Maitra
This map shows the geographic impact of Ranjan Maitra'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 Ranjan Maitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Maitra more than expected).
Fields of papers citing papers by Ranjan Maitra
This network shows the impact of papers produced by Ranjan Maitra. 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 Ranjan Maitra. The network helps show where Ranjan Maitra may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranjan Maitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 210 | |
| 2 | 1997 | 137 | |
| 3 | 2010 | 112 | |
| 4 | 2012 | 97 | |
| 5 | 2008 | 84 | |
| 6 | 2006 | 63 | |
| 7 | 1997 | 61 | |
| 8 | 2002 | 60 | |
| 9 | 2009 | 43 | |
| 10 | 2017 | 31 | |
| 11 | 2001 | 29 | |
| 12 | 2010 | 24 | |
| 13 | 2012 | 24 | |
| 14 | 1988 | 23 | |
| 15 | 2006 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 1989 | 22 | |
| 18 | 2009 | 22 | |
| 19 | 2019 | 22 | |
| 20 | 2005 | 21 |
About Ranjan Maitra
Ranjan Maitra is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Computer Vision and Pattern Recognition and Signal Processing, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (20 papers), Advanced Clustering Algorithms Research (13 papers), Statistical Methods and Inference (11 papers), Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (8 papers), Functional Brain Connectivity Studies (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computational Mathematics (18 citations), Statistics and Probability (206 citations), Artificial Intelligence (531 citations), Signal Processing (145 citations) and Cognitive Neuroscience (158 citations). Ranjan Maitra has collaborated with scholars based in United States, India and Ireland. Frequent co-authors include Volodymyr Melnykov, Wei‐Chen Chen, Darren L. Johnson, Rao P. Gullapalli, Gregory P. Graziano, Douglas C. Moore, Steven A. Goldstein, Steven Roys, Ivan Ramler and Joel D. Greenspan. Their work appears in journals such as Journal of Computational and Graphical Statistics, Technometrics, Journal of the American Statistical Association, The Annals of Applied Statistics and Statistical Analysis and Data Mining The ASA Data Science Journal.
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.