Deepali Vora
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Privacy-Preserving Technologies in Data
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- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
Papers in
-
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 6
- Topic Modeling 6
- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 4
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- Blockchain Technology Applications and Security 4
- Co-authors
- Ketan Kotecha (15 shared papers)Shruti Patil (13 shared papers)Lubna A. Gabralla (2 shared papers)Bharti Khemani (2 shared papers)Ajith Abraham (2 shared papers)Sashikala Mishra (7 shared papers)Kailash Shaw (3 shared papers)Cormac Herley (2 shared papers)
- Journals
- MethodsX (4 papers)IEEE Access (3 papers)Big Data and Cognitive Computing (2 papers)Scientific Reports (1 paper)Evolutionary Intelligence (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Deepali Vora
49 papers receiving 434 citations
Deepali Vora's Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 98
- Information Systems 74
- Computer Science Applications 17
- Health Informatics 4
Countries citing papers authored by Deepali Vora
This map shows the geographic impact of Deepali Vora'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 Deepali Vora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepali Vora more than expected).
Fields of papers citing papers by Deepali Vora
This network shows the impact of papers produced by Deepali Vora. 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 Deepali Vora. The network helps show where Deepali Vora may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepali Vora, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions Hit paper breakdown → | 2022 | 131 |
| 2 | 2022 | 31 | |
| 3 | 2023 | 27 | |
| 4 | 2017 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2002 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2005 | 7 |
About Deepali Vora
Deepali Vora is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 56 papers that have together received 464 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Topic Modeling (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (4 papers), Video Analysis and Summarization (4 papers), Online Learning and Analytics (4 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Artificial Intelligence (183 citations), Computer Vision and Pattern Recognition (98 citations), Information Systems (74 citations), Computer Science Applications (17 citations) and Health Informatics (4 citations). Deepali Vora has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Ketan Kotecha, Shruti Patil, Lubna A. Gabralla, Bharti Khemani, Ajith Abraham, Sashikala Mishra, Kailash Shaw, Cormac Herley, Jyoti Choudrie and Ilias O. Pappas. Their work appears in journals such as MethodsX, IEEE Access, Big Data and Cognitive Computing, Scientific Reports and Evolutionary Intelligence.
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.