Deepak Dharrao
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
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- AI in cancer detection
- Topic Modeling
- Advanced Text Analysis Techniques
Papers in
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- Anomaly Detection Techniques and Applications 2
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- Face and Expression Recognition 3
- Face recognition and analysis 3
- Co-authors
- Anupkumar M. Bongale (22 shared papers)Subraya Krishna Bhat (1 shared paper)D. Deepak (2 shared papers)Siddhaling Urolagin (4 shared papers)Ketan Kotecha (2 shared papers)Shruti Patil (2 shared papers)Nilesh Uke (2 shared papers)Shilpa Gite (3 shared papers)
- Journals
- MethodsX (5 papers)Big Data and Cognitive Computing (1 paper)Computers and Electronics in Agriculture (1 paper)Data in Brief (1 paper)Results in Engineering (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesSwitzerland
In The Last Decade
Deepak Dharrao
23 papers receiving 211 citations
Deepak Dharrao's Hit Papers
Peers
Comparison fields: 5 of 62
- Management Science and Operations Research 76
- Artificial Intelligence 70
- Computer Vision and Pattern Recognition 38
- Signal Processing 17
- Health Informatics 2
Countries citing papers authored by Deepak Dharrao
This map shows the geographic impact of Deepak Dharrao'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 Deepak Dharrao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Dharrao more than expected).
Fields of papers citing papers by Deepak Dharrao
This network shows the impact of papers produced by Deepak Dharrao. 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 Deepak Dharrao. The network helps show where Deepak Dharrao may publish in the future.
Co-authors
The 21 scholars most cited alongside Deepak Dharrao, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications Hit paper breakdown → | 2023 | 95 |
| 2 | 2023 | 29 | |
| 3 | 2023 | 21 | |
| 4 | 2024 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Deepak Dharrao
Deepak Dharrao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Water Science and Technology, having authored 35 papers that have together received 224 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (4 papers), IoT and Edge/Fog Computing (4 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Water Quality Monitoring and Analysis (3 papers), Anomaly Detection Techniques and Applications (2 papers), Biometric Identification and Security (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Management Science and Operations Research (76 citations), Artificial Intelligence (70 citations), Computer Vision and Pattern Recognition (38 citations), Signal Processing (17 citations) and Health Informatics (2 citations). Deepak Dharrao has collaborated with scholars based in India, United Arab Emirates and Switzerland. Frequent co-authors include Anupkumar M. Bongale, Subraya Krishna Bhat, D. Deepak, Siddhaling Urolagin, Ketan Kotecha, Shruti Patil, Nilesh Uke, Shilpa Gite, Sudeep D. Thepade and V. Vijayakumar. Their work appears in journals such as MethodsX, Big Data and Cognitive Computing, Computers and Electronics in Agriculture, Data in Brief and Results in Engineering.
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.