Shreyasi Pathak
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Topic Modeling
- Adversarial Robustness in Machine Learning
Papers in
-
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
- Topic Modeling 2
- Natural Language Processing Techniques 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Christin Seifert (11 shared papers)Maurice van Keulen (9 shared papers)Meike Nauta (3 shared papers)Jörg Schlötterer (4 shared papers)Elisa Nguyen (3 shared papers)Jan Trienes (2 shared papers)Sunil B. Nagaraj (1 shared paper)Michel J. A. M. van Putten (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)International Journal of Environmental Research and Public Health (1 paper)ACM Computing Surveys (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)
- Partner nations
- NetherlandsGermanyIndia
In The Last Decade
Shreyasi Pathak
11 papers receiving 340 citations
Shreyasi Pathak's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 42
- Artificial Intelligence 207
- Information Systems and Management 26
- Health Information Management 12
- Cognitive Neuroscience 47
Countries citing papers authored by Shreyasi Pathak
This map shows the geographic impact of Shreyasi Pathak'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 Shreyasi Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreyasi Pathak more than expected).
Fields of papers citing papers by Shreyasi Pathak
This network shows the impact of papers produced by Shreyasi Pathak. 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 Shreyasi Pathak. The network helps show where Shreyasi Pathak may publish in the future.
Co-authors
The 15 scholars most cited alongside Shreyasi Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Hit paper breakdown → | 2023 | 234 |
| 2 | 2021 | 46 | |
| 3 | 2022 | 14 | |
| 4 | 2019 | 12 | |
| 5 | 2020 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2020 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2025 | 0 | |
| 13 | 2020 | 0 |
About Shreyasi Pathak
Shreyasi Pathak is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cognitive Neuroscience and Physiology, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Biomedical Text Mining and Ontologies (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers), Obstructive Sleep Apnea Research (2 papers), Topic Modeling (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (42 citations), Artificial Intelligence (207 citations), Information Systems and Management (26 citations), Health Information Management (12 citations) and Cognitive Neuroscience (47 citations). Shreyasi Pathak has collaborated with scholars based in Netherlands, Germany and India. Frequent co-authors include Christin Seifert, Maurice van Keulen, Meike Nauta, Jörg Schlötterer, Elisa Nguyen, Jan Trienes, Sunil B. Nagaraj, Michel J. A. M. van Putten, Gwenn Englebienne and Nitin Agarwal. Their work appears in journals such as Artificial Intelligence in Medicine, International Journal of Environmental Research and Public Health, ACM Computing Surveys, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.