James Wexler
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
Papers in
-
- Topic Modeling 5
- Explainable Artificial Intelligence (XAI) 5
- Natural Language Processing Techniques 3
- Machine Learning and Data Classification 2
-
- Software Engineering Research 3
- Co-authors
- Martin Wattenberg (2 shared papers)Fernanda Viégas (2 shared papers)Mahima Pushkarna (7 shared papers)Tolga Bolukbasi (3 shared papers)Dilip Krishnan (1 shared paper)Kanit Wongsuphasawat (1 shared paper)Daniel Smilkov (1 shared paper)Emily Reif (5 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)International Symposium/Conference on Music Information Retrieval (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James Wexler
12 papers receiving 659 citations
James Wexler's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 56
- Artificial Intelligence 426
- Safety Research 93
- Computer Vision and Pattern Recognition 217
- Information Systems and Management 62
Countries citing papers authored by James Wexler
This map shows the geographic impact of James Wexler'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 James Wexler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Wexler more than expected).
Fields of papers citing papers by James Wexler
This network shows the impact of papers produced by James Wexler. 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 James Wexler. The network helps show where James Wexler may publish in the future.
Co-authors
The 25 scholars most cited alongside James Wexler, 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 | The What-If Tool: Interactive Probing of Machine Learning Models Hit paper breakdown → | 2019 | 312 |
| 2 | 2017 | 225 | |
| 3 | 2020 | 80 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 10 | |
| 7 | Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. | 2019 | 7 |
| 8 | 2020 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 3 | |
| 11 | Approachable Music Composition with Machine Learning at Scale. | 2019 | 2 |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 |
About James Wexler
James Wexler is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Information Systems and Management and Molecular Biology, having authored 14 papers that have together received 688 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Natural Language Processing Techniques (3 papers), Software Engineering Research (3 papers), Machine Learning and Data Classification (2 papers), Scientific Computing and Data Management (2 papers), Legal Education and Practice Innovations (1 paper) and Judicial and Constitutional Studies (1 paper). The work is most often cited by research in Health Informatics (56 citations), Artificial Intelligence (426 citations), Safety Research (93 citations), Computer Vision and Pattern Recognition (217 citations) and Information Systems and Management (62 citations). James Wexler has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Martin Wattenberg, Fernanda Viégas, Mahima Pushkarna, Tolga Bolukbasi, Dilip Krishnan, Kanit Wongsuphasawat, Daniel Smilkov, Emily Reif, Ian Tenney and Ann Yuan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Symposium/Conference on Music Information Retrieval and arXiv (Cornell University).
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.