Indrajit Saha
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Machine Learning in Bioinformatics 14
- vaccines and immunoinformatics approaches 12
- Bioinformatics and Genomic Networks 11
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- Advanced Clustering Algorithms Research 17
- Metaheuristic Optimization Algorithms Research 9
- Co-authors
- Ujjwal Maulik (35 shared papers)Dariusz Plewczyński (24 shared papers)Nimisha Ghosh (25 shared papers)Sanghamitra Bandyopadhyay (7 shared papers)Anasua Sarkar (2 shared papers)Siddhartha Bhattacharyya (2 shared papers)Sandip Dey (1 shared paper)Subhadip Basu (1 shared paper)
In The Last Decade
Indrajit Saha
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Media Technology 129
- Artificial Intelligence 451
- Computer Vision and Pattern Recognition 267
- Computational Theory and Mathematics 158
- Infectious Diseases 146
Countries citing papers authored by Indrajit Saha
This map shows the geographic impact of Indrajit Saha'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 Indrajit Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indrajit Saha more than expected).
Fields of papers citing papers by Indrajit Saha
This network shows the impact of papers produced by Indrajit Saha. 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 Indrajit Saha. The network helps show where Indrajit Saha may publish in the future.
Co-authors
The 25 scholars most cited alongside Indrajit Saha, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 122 | |
| 2 | 2010 | 117 | |
| 3 | 2021 | 67 | |
| 4 | 2011 | 65 | |
| 5 | 2016 | 52 | |
| 6 | 2014 | 50 | |
| 7 | 2010 | 48 | |
| 8 | 2022 | 47 | |
| 9 | 2010 | 45 | |
| 10 | 2011 | 41 | |
| 11 | 2014 | 40 | |
| 12 | 2012 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 26 | |
| 15 | A report of diphtheria surveillance from a rural medical college hospital. | 1998 | 26 |
| 16 | 2006 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2015 | 24 | |
| 19 | 2014 | 22 | |
| 20 | 2019 | 20 |
About Indrajit Saha
Indrajit Saha is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Computer Vision and Pattern Recognition and Cancer Research, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Advanced Clustering Algorithms Research (17 papers), Machine Learning in Bioinformatics (14 papers), vaccines and immunoinformatics approaches (12 papers), Bioinformatics and Genomic Networks (11 papers), MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Media Technology (129 citations), Artificial Intelligence (451 citations), Computer Vision and Pattern Recognition (267 citations), Computational Theory and Mathematics (158 citations) and Infectious Diseases (146 citations). Indrajit Saha has collaborated with scholars based in India, Poland and Italy. Frequent co-authors include Ujjwal Maulik, Dariusz Plewczyński, Nimisha Ghosh, Sanghamitra Bandyopadhyay, Anasua Sarkar, Siddhartha Bhattacharyya, Sandip Dey, Subhadip Basu, Sanghamitra Bandyopadhyay and Kaushik Mitra. Their work appears in journals such as Infection Genetics and Evolution, ACS Omega, Frontiers in Genetics, Applied Soft Computing and Amino Acids.
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.