Prasanna Sattigeri
- Artificial Intelligence top 2%
- Safety Research top 1%
- Computer Vision and Pattern Recognition top 5%
- Health Informatics top 1%
- Information Systems top 10%
- Co-authors
- Kush R. VarshneySamuel C. HoffmanKarthikeyan Natesan RamamurthyAndreas SpaniasAleksandra MojsilovićStephanie HoudeMichael HindRachel Bellamy
- Topics
- Explainable Artificial Intelligence (XAI) (12 papers)Adversarial Robustness in Machine Learning (10 papers)Ethics and Social Impacts of AI (9 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsJournal of Machine Learning ResearchIBM Journal of Research and Development
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Prasanna Sattigeri
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 611
- Safety Research 342
- Computer Vision and Pattern Recognition 187
- Health Informatics 119
- Information Systems 83
Countries citing papers authored by Prasanna Sattigeri
This map shows the geographic impact of Prasanna Sattigeri'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 Prasanna Sattigeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanna Sattigeri more than expected).
Fields of papers citing papers by Prasanna Sattigeri
This network shows the impact of papers produced by Prasanna Sattigeri. 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 Prasanna Sattigeri. The network helps show where Prasanna Sattigeri may publish in the future.
Co-authorship network of co-authors of Prasanna Sattigeri
This figure shows the co-authorship network connecting the top 25 collaborators of Prasanna Sattigeri. A scholar is included among the top collaborators of Prasanna Sattigeri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prasanna Sattigeri. Prasanna Sattigeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models | 37 |
| 9 | 13 | |
| 10 | 19 | |
| 11 | Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks | 11 |
| 12 | Can Deep Clinical Models Handle Real-World Domain Shifts? | 1 |
| 13 | 49 | |
| 14 | Improved Semi-supervised Learning with GANs using Manifold Invariances | 2 |
| 15 | Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference | 14 |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 1 |
About Prasanna Sattigeri
Prasanna Sattigeri is a scholar working on Health Informatics, Safety Research and Artificial Intelligence, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (12 papers), Adversarial Robustness in Machine Learning (10 papers) and Ethics and Social Impacts of AI (9 papers). The work is most often cited by research in Health Informatics (119 citations), Safety Research (342 citations) and Artificial Intelligence (611 citations). Prasanna Sattigeri has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Kush R. Varshney, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Aleksandra Mojsilović, Stephanie Houde, Michael Hind, Rachel Bellamy, John T. Richards and Jayaraman J. Thiagarajan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Machine Learning Research and IBM Journal of Research and Development.
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.