Amit Pimpalkar
Impact in
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- Brain Tumor Detection and Classification
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- Sentiment Analysis and Opinion Mining 11
- Privacy-Preserving Technologies in Data 5
- Advanced Text Analysis Techniques 4
- Cryptography and Data Security 3
- Imbalanced Data Classification Techniques 3
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- Blockchain Technology Applications and Security 3
- Spam and Phishing Detection 3
- Co-authors
- Nilesh Shelke (17 shared papers)Dilip Kumar Jang Bahadur Saini (13 shared papers)Manish Bhaiyya (1 shared paper)Sachin Verma (1 shared paper)Suresh Balpande (1 shared paper)Vaibhav Srivastava (1 shared paper)Madhusudan B. Kulkarni (1 shared paper)Prakash Rewatkar (1 shared paper)
In The Last Decade
Amit Pimpalkar
22 papers receiving 213 citations
Peers
Comparison fields: 5 of 66
- Neurology 36
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 44
- Health Informatics 2
- Information Systems 35
Countries citing papers authored by Amit Pimpalkar
This map shows the geographic impact of Amit Pimpalkar'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 Amit Pimpalkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Pimpalkar more than expected).
Fields of papers citing papers by Amit Pimpalkar
This network shows the impact of papers produced by Amit Pimpalkar. 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 Amit Pimpalkar. The network helps show where Amit Pimpalkar may publish in the future.
Co-authors
The 10 scholars most cited alongside Amit Pimpalkar, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2020 | 43 | |
| 3 | 2016 | 41 | |
| 4 | 2025 | 17 | |
| 5 | 2024 | 16 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | Sentence Level Text Extraction using Hierarchical Fuzzy Relational Clustering Algorithm | 2014 | 3 |
| 15 | 2025 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Amit Pimpalkar
Amit Pimpalkar is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Health Information Management, having authored 42 papers that have together received 231 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Text Analysis Techniques (4 papers), Cryptography and Data Security (3 papers), Blockchain Technology Applications and Security (3 papers), Spam and Phishing Detection (3 papers), Imbalanced Data Classification Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Neurology (36 citations), Artificial Intelligence (111 citations), Computer Vision and Pattern Recognition (44 citations), Health Informatics (2 citations) and Information Systems (35 citations). Amit Pimpalkar has collaborated with scholars based in India, Singapore and Nepal. Frequent co-authors include Nilesh Shelke, Dilip Kumar Jang Bahadur Saini, Manish Bhaiyya, Sachin Verma, Suresh Balpande, Vaibhav Srivastava, Madhusudan B. Kulkarni, Prakash Rewatkar, Sudhanshu Maurya and Gopal Sakarkar. Their work appears in journals such as Scientific Reports, Expert Systems with Applications, Biomedical Signal Processing and Control, Automatika and Micromachines.
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.