Rajat K. De
- Artificial Intelligence top 5%
- Neural Networks and Applications 13
- Fuzzy Logic and Control Systems 9
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- Face and Expression Recognition 10
- Media Technology top 5%
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- Bioinformatics and Genomic Networks 26
- Gene expression and cancer classification 16
- Microbial Metabolic Engineering and Bioproduction 15
- Machine Learning in Bioinformatics 10
- Gene Regulatory Network Analysis 9
- Co-authors
- Namrata TomarSankar K. PalJayanta Kumar BasakAnindya BhattacharyaIndrani RaySushil K. MahataAnupam GhoshMausumi Acharyya
- Journals
- Bioinformatics (2 papers)PLoS ONE (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Rajat K. De
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 343
- Computer Vision and Pattern Recognition 182
- Media Technology 77
- Molecular Biology 590
- Computational Theory and Mathematics 116
Countries citing papers authored by Rajat K. De
This map shows the geographic impact of Rajat K. De'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 Rajat K. De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat K. De more than expected).
Fields of papers citing papers by Rajat K. De
This network shows the impact of papers produced by Rajat K. De. 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 Rajat K. De. The network helps show where Rajat K. De may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajat K. De, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 0 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 9 | |
| 9 | 2015 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 60 | |
| 12 | Automated metabolic pathway reconstruction based on structural grammars | 2013 | 0 |
| 13 | 2013 | 38 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 4 | |
| 16 | 2010 | 6 | |
| 17 | 2009 | 11 | |
| 18 | 2008 | 14 | |
| 19 | 2007 | 7 | |
| 20 | 2000 | 96 |
About Rajat K. De
Rajat K. De is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (26 papers), Gene expression and cancer classification (16 papers), Microbial Metabolic Engineering and Bioproduction (15 papers), Neural Networks and Applications (13 papers), Machine Learning in Bioinformatics (10 papers), Face and Expression Recognition (10 papers), Gene Regulatory Network Analysis (9 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Computer Vision and Pattern Recognition (182 citations) and Media Technology (77 citations). Rajat K. De has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Namrata Tomar, Sankar K. Pal, Jayanta Kumar Basak, Anindya Bhattacharya, Indrani Ray, Sushil K. Mahata, Anupam Ghosh, Mausumi Acharyya, Malay K. Kundu and Nikhil R. Pal. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.