Ian Covert
Impact in
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Domain Adaptation and Few-Shot Learning
- Bayesian Modeling and Causal Inference
- Anomaly Detection Techniques and Applications
- Topic Modeling
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Neural Networks and Applications 4
- Machine Learning and Data Classification 3
- Explainable Artificial Intelligence (XAI) 2
- Fuzzy Logic and Control Systems 1
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- Face and Expression Recognition 3
- Multimodal Machine Learning Applications 1
- Co-authors
- Su‐In Lee (5 shared papers)Scott Lundberg (2 shared papers)Hugh Chen (1 shared paper)Nicholas J. Foti (1 shared paper)Alex Tank (1 shared paper)Ali Shojaie (1 shared paper)Emily B. Fox (1 shared paper)Ali Farhadi (1 shared paper)
- Journals
- Nature Machine Intelligence (1 paper)Nature Medicine (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Communications (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Ian Covert
9 papers receiving 569 citations
Ian Covert's Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 89
- Management Science and Operations Research 42
- Signal Processing 32
- Control and Systems Engineering 54
Countries citing papers authored by Ian Covert
This map shows the geographic impact of Ian Covert'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 Ian Covert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Covert more than expected).
Fields of papers citing papers by Ian Covert
This network shows the impact of papers produced by Ian Covert. 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 Ian Covert. The network helps show where Ian Covert may publish in the future.
Co-authors
The 20 scholars most cited alongside Ian Covert, 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 | Algorithms to estimate Shapley value feature attributions Hit paper breakdown → | 2023 | 242 |
| 2 | 2021 | 155 | |
| 3 | What does a platypus look like? Generating customized prompts for zero-shot image classification Hit paper breakdown → | 2023 | 117 |
| 4 | Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression | 2021 | 33 |
| 5 | 2023 | 16 | |
| 6 | Understanding Global Feature Contributions With Additive Importance Measures | 2020 | 8 |
| 7 | Temporal Graph Convolutional Networks for Automatic Seizure Detection | 2019 | 6 |
| 8 | 2026 | 2 | |
| 9 | Deep unsupervised feature selection | 2019 | 1 |
| 10 | 2023 | 0 |
About Ian Covert
Ian Covert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 580 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Machine Learning and Data Classification (3 papers), Face and Expression Recognition (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Extracellular vesicles in disease (1 paper), Multimodal Machine Learning Applications (1 paper), Fuzzy Logic and Control Systems (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Artificial Intelligence (239 citations), Computer Vision and Pattern Recognition (89 citations), Management Science and Operations Research (42 citations), Signal Processing (32 citations) and Control and Systems Engineering (54 citations). Ian Covert has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Su‐In Lee, Scott Lundberg, Hugh Chen, Nicholas J. Foti, Alex Tank, Ali Shojaie, Emily B. Fox, Ali Farhadi, Rosanne Liu and Sarah I. Pratt. Their work appears in journals such as Nature Machine Intelligence, Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Communications and International Conference on Artificial Intelligence and Statistics.
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.