Sudhakar Tripathi
Impact in
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- Artificial Intelligence in Healthcare
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- scientometrics and bibliometrics research
Papers in
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- Machine Learning in Bioinformatics 9
- Genetics, Bioinformatics, and Biomedical Research 4
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- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 3
- Co-authors
- Akshay Deepak (10 shared papers)Dilip Kumar Choubey (3 shared papers)Vinay Kumar Dhandhania (2 shared papers)Vaibhav Shukla (2 shared papers)Jyoti Prakash Singh (3 shared papers)Manish Kumar (1 shared paper)David Fernández‐Baca (3 shared papers)Ashish Ranjan (3 shared papers)
- Journals
- Scientometrics (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Multimedia Tools and Applications (2 papers)Applied Sciences (1 paper)Journal of Information Science (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Sudhakar Tripathi
31 papers receiving 346 citations
Peers
Comparison fields: 5 of 104
- Health Information Management 69
- Statistics, Probability and Uncertainty 53
- Artificial Intelligence 102
- Information Systems 46
- Complementary and alternative medicine 14
Countries citing papers authored by Sudhakar Tripathi
This map shows the geographic impact of Sudhakar Tripathi'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 Sudhakar Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakar Tripathi more than expected).
Fields of papers citing papers by Sudhakar Tripathi
This network shows the impact of papers produced by Sudhakar Tripathi. 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 Sudhakar Tripathi. The network helps show where Sudhakar Tripathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudhakar Tripathi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 65 | |
| 2 | 2019 | 55 | |
| 3 | 2020 | 50 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | A Computational Model Of Episodic Memory Encoding In Dentate Gyrus Hippocampus Sub Region As Pattern Separator Using ART Neural Network | 2014 | 2 |
| 20 | 2019 | 2 |
About Sudhakar Tripathi
Sudhakar Tripathi is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Statistics, Probability and Uncertainty and Cognitive Neuroscience, having authored 36 papers that have together received 366 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Artificial Intelligence in Healthcare (6 papers), scientometrics and bibliometrics research (6 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers), Memory and Neural Mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Health Information Management (69 citations), Statistics, Probability and Uncertainty (53 citations), Artificial Intelligence (102 citations), Information Systems (46 citations) and Complementary and alternative medicine (14 citations). Sudhakar Tripathi has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Akshay Deepak, Dilip Kumar Choubey, Vinay Kumar Dhandhania, Vaibhav Shukla, Jyoti Prakash Singh, Manish Kumar, David Fernández‐Baca, Ashish Ranjan, Abhinav Kumar and Rina Kumari. Their work appears in journals such as Scientometrics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Multimedia Tools and Applications, Applied Sciences and Journal of Information Science.
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.