Pritam Chanda
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
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- Video Surveillance and Tracking Methods
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 13
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
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- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 7
- Co-authors
- John W. Raymond (1 shared paper)Murali Ramanathan (12 shared papers)Aidong Zhang (8 shared papers)Lara Sucheston (7 shared papers)Joel S. Bader (3 shared papers)Dan E. Arking (3 shared papers)Hailiang Huang (2 shared papers)Álvaro Alonso (1 shared paper)
- Journals
- Heredity (2 papers)BMC Genomics (2 papers)European Journal of Human Genetics (1 paper)BMC Bioinformatics (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Pritam Chanda
23 papers receiving 527 citations
Peers
Comparison fields: 5 of 112
- Genetics 193
- Computer Vision and Pattern Recognition 67
- Molecular Biology 217
- Computer Networks and Communications 56
- Analytical Chemistry 23
Countries citing papers authored by Pritam Chanda
This map shows the geographic impact of Pritam Chanda'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 Pritam Chanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritam Chanda more than expected).
Fields of papers citing papers by Pritam Chanda
This network shows the impact of papers produced by Pritam Chanda. 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 Pritam Chanda. The network helps show where Pritam Chanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Pritam Chanda, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2011 | 66 | |
| 3 | 2007 | 51 | |
| 4 | 2008 | 41 | |
| 5 | 2008 | 35 | |
| 6 | 2009 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2009 | 21 | |
| 9 | 2013 | 21 | |
| 10 | 2009 | 21 | |
| 11 | 2010 | 18 | |
| 12 | 2009 | 16 | |
| 13 | 2023 | 12 | |
| 14 | 2012 | 12 | |
| 15 | 2006 | 10 | |
| 16 | 2013 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2009 | 6 |
About Pritam Chanda
Pritam Chanda is a scholar working on Genetics, Molecular Biology, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 23 papers that have together received 546 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Mobile Ad Hoc Networks (2 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Genetics (193 citations), Computer Vision and Pattern Recognition (67 citations), Molecular Biology (217 citations), Computer Networks and Communications (56 citations) and Analytical Chemistry (23 citations). Pritam Chanda has collaborated with scholars based in United States, India and Canada. Frequent co-authors include John W. Raymond, Murali Ramanathan, Aidong Zhang, Lara Sucheston, Joel S. Bader, Dan E. Arking, Hailiang Huang, Álvaro Alonso, Daniel A. Brazeau and Christine B. Ambrosone. Their work appears in journals such as Heredity, BMC Genomics, European Journal of Human Genetics, BMC Bioinformatics and PLoS Genetics.
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.