Deepa Anand
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 2
- Domain Adaptation and Few-Shot Learning 2
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- Recommender Systems and Techniques 6
- Co-authors
- Kamal K. Bharadwaj (2 shared papers)K. K. Bharadwaj (2 shared papers)Pavan Annangi (1 shared paper)M. Anjanappa (1 shared paper)James Kirk (1 shared paper)Hariharan Ravishankar (1 shared paper)Vanika Singhal (1 shared paper)R. Wade Allen (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Journal of Sound and Vibration (2 papers)PeerJ Computer Science (1 paper)Social Network Analysis and Mining (1 paper)Journal of Mechanical Design (1 paper)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Deepa Anand
20 papers receiving 305 citations
Peers
Comparison fields: 5 of 54
- Information Systems 169
- Artificial Intelligence 180
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 52
- Transportation 17
Countries citing papers authored by Deepa Anand
This map shows the geographic impact of Deepa Anand'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 Deepa Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Anand more than expected).
Fields of papers citing papers by Deepa Anand
This network shows the impact of papers produced by Deepa Anand. 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 Deepa Anand. The network helps show where Deepa Anand may publish in the future.
Co-authors
The 10 scholars most cited alongside Deepa Anand, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 100 | |
| 2 | 2019 | 75 | |
| 3 | 2016 | 40 | |
| 4 | 2012 | 28 | |
| 5 | 2013 | 19 | |
| 6 | 2010 | 12 | |
| 7 | 2017 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2003 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 1991 | 5 | |
| 14 | 2001 | 2 | |
| 15 | 1977 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 1979 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2012 | 1 |
About Deepa Anand
Deepa Anand is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Political Science and International Relations and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 327 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers), Photovoltaic System Optimization Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Natural Language Processing Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Information Systems (169 citations), Artificial Intelligence (180 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (52 citations) and Transportation (17 citations). Deepa Anand has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Kamal K. Bharadwaj, K. K. Bharadwaj, Pavan Annangi, M. Anjanappa, James Kirk, Hariharan Ravishankar, Vanika Singhal, R. Wade Allen, Rohan Patil and Sandeep Dutta. Their work appears in journals such as Expert Systems with Applications, Journal of Sound and Vibration, PeerJ Computer Science, Social Network Analysis and Mining and Journal of Mechanical Design.
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.