Deepak Dharrao
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
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- AI in cancer detection
- Advanced Text Analysis Techniques
Papers in
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- Face and Expression Recognition 3
- Face recognition and analysis 3
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- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Anupkumar M. Bongale (21 shared papers)Subraya Krishna Bhat (1 shared paper)Deepak Doreswamy (2 shared papers)Siddhaling Urolagin (4 shared papers)Shilpa Gite (3 shared papers)Ketan Kotecha (2 shared papers)Nilesh Uke (2 shared papers)Shruti Patil (2 shared papers)
- Journals
- MethodsX (5 papers)Computers and Electronics in Agriculture (1 paper)Data in Brief (1 paper)Journal of Sensor and Actuator Networks (1 paper)Big Data and Cognitive Computing (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesAustralia
In The Last Decade
Deepak Dharrao
21 papers receiving 181 citations
Deepak Dharrao's Hit Papers
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 67
- Artificial Intelligence 66
- Computer Vision and Pattern Recognition 38
- Health Informatics 2
- Signal Processing 14
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 33 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 | 82 |
| 2 | 2023 | 29 | |
| 3 | 2023 | 19 | |
| 4 | 2024 | 14 | |
| 5 | 2022 | 12 | |
| 6 | 2019 | 7 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Deepak Dharrao
Deepak Dharrao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Water Science and Technology, having authored 33 papers that have together received 194 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Water Quality Monitoring Technologies (4 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Water Quality Monitoring and Analysis (3 papers), COVID-19 diagnosis using AI (2 papers), Biometric Identification and Security (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Management Science and Operations Research (67 citations), Artificial Intelligence (66 citations), Computer Vision and Pattern Recognition (38 citations), Health Informatics (2 citations) and Signal Processing (14 citations). Deepak Dharrao has collaborated with scholars based in India, United Arab Emirates and Australia. Frequent co-authors include Anupkumar M. Bongale, Subraya Krishna Bhat, Deepak Doreswamy, Siddhaling Urolagin, Shilpa Gite, Ketan Kotecha, Nilesh Uke, Shruti Patil, Pooja Kamat and V. Vijayakumar. Their work appears in journals such as MethodsX, Computers and Electronics in Agriculture, Data in Brief, Journal of Sensor and Actuator Networks and Big Data and Cognitive Computing.
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.