Deepesh Agarwal
Impact in
- Immunology and Allergy top 5%
- Food Allergy and Anaphylaxis Research
- Allergic Rhinitis and Sensitization
- Food Science top 10%
- Proteins in Food Systems
- Probiotics and Fermented Foods
Papers in
-
- Machine Learning and Algorithms 5
- Data Stream Mining Techniques 3
- Advanced Graph Neural Networks 3
- Machine Learning and Data Classification 2
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- Machine Fault Diagnosis Techniques 2
- Co-authors
- Balasubramaniam Natarajan (14 shared papers)Sai Munikoti (2 shared papers)Laya Das (2 shared papers)Mahantesh M. Halappanavar (1 shared paper)M. Drouet (1 shared paper)Jean‐Charles Gaudin (1 shared paper)Claudia Nioi (1 shared paper)Jean‐Marc Chobert (1 shared paper)
- Journals
- Computers & Chemical Engineering (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Sensors (1 paper)Cells (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Deepesh Agarwal
20 papers receiving 406 citations
Peers
Comparison fields: 5 of 101
- Immunology and Allergy 113
- Food Science 85
- Clinical Biochemistry 28
- Biotechnology 21
- Emergency Medicine 14
Countries citing papers authored by Deepesh Agarwal
This map shows the geographic impact of Deepesh Agarwal'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 Deepesh Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepesh Agarwal more than expected).
Fields of papers citing papers by Deepesh Agarwal
This network shows the impact of papers produced by Deepesh Agarwal. 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 Deepesh Agarwal. The network helps show where Deepesh Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepesh Agarwal, 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 | 2009 | 169 | |
| 2 | 2023 | 104 | |
| 3 | 2016 | 46 | |
| 4 | 2022 | 17 | |
| 5 | 2024 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2015 | 2 | |
| 18 | Percuteneous mitral balloon valvuloplasty in patients with post surgical mitral restenosis: result of 70 cases. | 2011 | 2 |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Deepesh Agarwal
Deepesh Agarwal is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Mechanical Engineering, having authored 23 papers that have together received 416 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (5 papers), Data Stream Mining Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Machine Learning and Data Classification (2 papers), Machine Fault Diagnosis Techniques (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Green IT and Sustainability (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in Immunology and Allergy (113 citations), Food Science (85 citations), Clinical Biochemistry (28 citations), Biotechnology (21 citations) and Emergency Medicine (14 citations). Deepesh Agarwal has collaborated with scholars based in United States, India and France. Frequent co-authors include Balasubramaniam Natarajan, Sai Munikoti, Laya Das, Mahantesh M. Halappanavar, M. Drouet, Jean‐Charles Gaudin, Claudia Nioi, Jean‐Marc Chobert, Hanitra Rabesona and Asghar Taheri‐Kafrani. Their work appears in journals such as Computers & Chemical Engineering, IEEE Transactions on Neural Networks and Learning Systems, Sensors, Cells and Neurocomputing.
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.