Rupali Verma
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
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- Emotion and Mood Recognition
Papers in
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- 2D Materials and Applications 7
- MXene and MAX Phase Materials 5
- Graphene research and applications 3
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- Cryptography and Residue Arithmetic 4
- Co-authors
- Maitreyee Dutta (4 shared papers)Renu Vig (4 shared papers)Amol P. Bhondekar (1 shared paper)Ritesh Kumar (1 shared paper)Mayank Shrivastava (9 shared papers)Gurvinder Singh (2 shared papers)Rajesh Kumar (1 shared paper)Gaurav Verma (1 shared paper)
- Journals
- npj 2D Materials and Applications (2 papers)Phytomedicine (1 paper)Social Network Analysis and Mining (1 paper)Cell Biochemistry and Biophysics (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- India
In The Last Decade
Rupali Verma
15 papers receiving 480 citations
Rupali Verma's Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 280
- Experimental and Cognitive Psychology 65
- Information Systems 97
- Social Psychology 68
- Communication 20
Countries citing papers authored by Rupali Verma
This map shows the geographic impact of Rupali Verma'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 Rupali Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupali Verma more than expected).
Fields of papers citing papers by Rupali Verma
This network shows the impact of papers produced by Rupali Verma. 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 Rupali Verma. The network helps show where Rupali Verma may publish in the future.
Co-authors
The 20 scholars most cited alongside Rupali Verma, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on sentiment analysis and emotion detection from text Hit paper breakdown → | 2021 | 405 |
| 2 | 2021 | 51 | |
| 3 | 2016 | 15 | |
| 4 | 2023 | 9 | |
| 5 | 2016 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2013 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2013 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Rupali Verma
Rupali Verma is a scholar working on Materials Chemistry, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 24 papers that have together received 505 indexed citations. Recurring topics across this work include 2D Materials and Applications (7 papers), MXene and MAX Phase Materials (5 papers), Coding theory and cryptography (4 papers), Cryptography and Residue Arithmetic (4 papers), Cryptography and Data Security (4 papers), Graphene research and applications (3 papers), Perovskite Materials and Applications (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Experimental and Cognitive Psychology (65 citations), Information Systems (97 citations), Social Psychology (68 citations) and Communication (20 citations). Rupali Verma has collaborated with scholars based in India. Frequent co-authors include Maitreyee Dutta, Renu Vig, Amol P. Bhondekar, Ritesh Kumar, Mayank Shrivastava, Gurvinder Singh, Rajesh Kumar, Gaurav Verma, Avijit Mazumder and Ramakant Bhardwaj. Their work appears in journals such as npj 2D Materials and Applications, Phytomedicine, Social Network Analysis and Mining, Cell Biochemistry and Biophysics and Current Topics in Medicinal Chemistry.
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.