Diptendu Bhattacharya
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- Stock Market Forecasting Methods 7
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- Video Surveillance and Tracking Methods 6
- Image Enhancement Techniques 4
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- Irrigation Practices and Water Management 4
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- Fire Detection and Safety Systems 4
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- Energy Harvesting in Wireless Networks 3
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- Complex Systems and Time Series Analysis 3
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- Emotion and Mood Recognition 3
- Co-authors
- Amit KonarDharavath RameshBharat BhushanAnuradha SahaAnirban KarmakarJishnu MukhotiAbhishek MajumdarIndranath Chatterjee
- Cited by
- Management Science and Operations ResearchComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Neurocomputing (1 paper)Applied Soft Computing (3 papers)IEEE Transactions on Engineering Management (1 paper)
- Partner nations
- IndiaMexicoSouth Korea
In The Last Decade
Diptendu Bhattacharya
32 papers receiving 382 citations
Peers
Comparison fields: 5 of 86
- Management Science and Operations Research 58
- Computer Vision and Pattern Recognition 58
- Artificial Intelligence 75
- Aerospace Engineering 55
- Media Technology 18
Countries citing papers authored by Diptendu Bhattacharya
This map shows the geographic impact of Diptendu Bhattacharya'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 Diptendu Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diptendu Bhattacharya more than expected).
Fields of papers citing papers by Diptendu Bhattacharya
This network shows the impact of papers produced by Diptendu Bhattacharya. 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 Diptendu Bhattacharya. The network helps show where Diptendu Bhattacharya may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Diptendu Bhattacharya, 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 | 2024 | 15 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 38 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 41 | |
| 18 | 2020 | 8 | |
| 19 | 2017 | 8 | |
| 20 | Time-Series Prediction and Applications: A Machine Intelligence Approach | 2017 | 4 |
About Diptendu Bhattacharya
Diptendu Bhattacharya is a scholar working on Management Science and Operations Research, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 34 papers that have together received 401 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Video Surveillance and Tracking Methods (6 papers), Irrigation Practices and Water Management (4 papers), Fire Detection and Safety Systems (4 papers), Image Enhancement Techniques (4 papers), Energy Harvesting in Wireless Networks (3 papers), Complex Systems and Time Series Analysis (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Management Science and Operations Research (58 citations), Computer Vision and Pattern Recognition (58 citations) and Artificial Intelligence (75 citations). Diptendu Bhattacharya has collaborated with scholars based in India, Mexico and South Korea. Frequent co-authors include Amit Konar, Dharavath Ramesh, Bharat Bhushan, Anuradha Saha, Anirban Karmakar, Jishnu Mukhoti, Abhishek Majumdar, Indranath Chatterjee, Sk Hasane Ahammad and Abhijit Saha. Their work appears in journals such as Neurocomputing, Applied Soft Computing and IEEE Transactions on Engineering Management.
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.