Deepali Vora
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Privacy-Preserving Technologies in Data
-
- Video Analysis and Summarization
Papers in
-
- Topic Modeling 7
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 6
- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 4
-
- Blockchain Technology Applications and Security 5
- Co-authors
- Ketan Kotecha (17 shared papers)Shruti Patil (14 shared papers)Lubna A. Gabralla (2 shared papers)Ajith Abraham (2 shared papers)Bharti Khemani (2 shared papers)Kailash Shaw (3 shared papers)Sashikala Mishra (7 shared papers)Jyoti Choudrie (3 shared papers)
- Journals
- MethodsX (6 papers)IEEE Access (3 papers)Scientific Reports (2 papers)Big Data and Cognitive Computing (2 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Deepali Vora
58 papers receiving 542 citations
Deepali Vora's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 220
- Computer Vision and Pattern Recognition 114
- Health Informatics 7
- Computer Science Applications 26
- Health Information Management 19
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 69 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 | 147 |
| 2 | 2022 | 37 | |
| 3 | 2023 | 36 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2024 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2002 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Deepali Vora
Deepali Vora is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 69 papers that have together received 574 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Online Learning and Analytics (6 papers), Blockchain Technology Applications and Security (5 papers), Privacy-Preserving Technologies in Data (5 papers), IoT-based Smart Home Systems (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Artificial Intelligence (220 citations), Computer Vision and Pattern Recognition (114 citations), Health Informatics (7 citations), Computer Science Applications (26 citations) and Health Information Management (19 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, Ajith Abraham, Bharti Khemani, Kailash Shaw, Sashikala Mishra, Jyoti Choudrie, Cormac Herley and Ilias O. Pappas. Their work appears in journals such as MethodsX, IEEE Access, Scientific Reports, Big Data and Cognitive Computing and Artificial Intelligence Review.
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.