Rich Caruana
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Anomaly Detection Techniques and Applications
- Natural Language Processing Techniques
- Health Informatics top 0.2%
Papers in
-
- Machine Learning and Data Classification 32
- Neural Networks and Applications 15
- Explainable Artificial Intelligence (XAI) 15
- Machine Learning and Algorithms 14
- Imbalanced Data Classification Techniques 8
- Data Stream Mining Techniques 8
- Anomaly Detection Techniques and Applications 7
- Topic Modeling 7
- Co-authors
- Alexandru Niculescu-Mizil (9 shared papers)Yin Lou (7 shared papers)Johannes Gehrke (4 shared papers)Steve Lawrence (1 shared paper)C. Lee Giles (1 shared paper)Engin İpek (8 shared papers)Nam Hoang Nguyen (3 shared papers)Paul Koch (3 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (7 papers)Machine Learning (2 papers)BioScience (1 paper)International Journal of Approximate Reasoning (1 paper)Journal of Wildlife Management (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Rich Caruana
101 papers receiving 14.5k citations
Rich Caruana's Hit Papers
Peers
Comparison fields: 5 of 223
- Artificial Intelligence 8.5k
- Health Informatics 349
- Computer Vision and Pattern Recognition 3.1k
- Hardware and Architecture 703
- Signal Processing 1.0k
Countries citing papers authored by Rich Caruana
This map shows the geographic impact of Rich Caruana'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 Rich Caruana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rich Caruana more than expected).
Fields of papers citing papers by Rich Caruana
This network shows the impact of papers produced by Rich Caruana. 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 Rich Caruana. The network helps show where Rich Caruana may publish in the future.
Co-authors
The 25 scholars most cited alongside Rich Caruana, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multitask Learning Hit paper breakdown → | 1997 | 3649 |
| 2 | An empirical comparison of supervised learning algorithms Hit paper breakdown → | 2006 | 1763 |
| 3 | Model compression Hit paper breakdown → | 2006 | 1094 |
| 4 | Intelligible Models for HealthCare Hit paper breakdown → | 2015 | 847 |
| 5 | Predicting good probabilities with supervised learning Hit paper breakdown → | 2005 | 813 |
| 6 | Multitask learning Hit paper breakdown → | 1998 | 722 |
| 7 | Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping Hit paper breakdown → | 2000 | 586 |
| 8 | Ensemble selection from libraries of models Hit paper breakdown → | 2004 | 492 |
| 9 | 2008 | 339 | |
| 10 | 2013 | 266 | |
| 11 | 2012 | 254 | |
| 12 | Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning Hit paper breakdown → | 2020 | 252 |
| 13 | 1994 | 248 | |
| 14 | 2006 | 242 | |
| 15 | 2009 | 239 | |
| 16 | 2008 | 238 | |
| 17 | 2008 | 211 | |
| 18 | 2019 | 202 | |
| 19 | 2000 | 200 | |
| 20 | 2004 | 196 |
About Rich Caruana
Rich Caruana is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Hardware and Architecture and Ecological Modeling, having authored 104 papers that have together received 15.4k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (32 papers), Neural Networks and Applications (15 papers), Explainable Artificial Intelligence (XAI) (15 papers), Machine Learning and Algorithms (14 papers), Imbalanced Data Classification Techniques (8 papers), Data Stream Mining Techniques (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (8.5k citations), Health Informatics (349 citations), Computer Vision and Pattern Recognition (3.1k citations), Hardware and Architecture (703 citations) and Signal Processing (1.0k citations). Rich Caruana has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alexandru Niculescu-Mizil, Yin Lou, Johannes Gehrke, Steve Lawrence, C. Lee Giles, Engin İpek, Nam Hoang Nguyen, Paul Koch, Noémie Elhadad and G. Crew. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Machine Learning, BioScience, International Journal of Approximate Reasoning and Journal of Wildlife Management.
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.