Jesse Davis
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Bayesian Modeling and Causal Inference
- Topic Modeling
- Machine Learning and Data Classification
- Signal Processing top 1%
Papers in
-
- Bayesian Modeling and Causal Inference 34
- Topic Modeling 16
- Anomaly Detection Techniques and Applications 15
- Machine Learning and Data Classification 13
- Machine Learning and Algorithms 13
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- Sports Analytics and Performance 21
- Co-authors
- Mark Goadrich (1 shared paper)Pedro Domingos (3 shared papers)Wannes Meert (20 shared papers)Jan Van Haaren (18 shared papers)Guy Van den Broeck (9 shared papers)Stefan Schoenmackers (1 shared paper)Daniel S. Weld (1 shared paper)Oren Etzioni (1 shared paper)
- Journals
- Machine Learning (6 papers)Frontiers in Bioengineering and Biotechnology (4 papers)Sensors (4 papers)International Journal of Sports Physiology and Performance (3 papers)Journal of Artificial Intelligence Research (3 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Jesse Davis
137 papers receiving 5.7k citations
Jesse Davis's Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 2.5k
- Signal Processing 458
- Computer Vision and Pattern Recognition 798
- Orthopedics and Sports Medicine 265
- Health Information Management 136
Countries citing papers authored by Jesse Davis
This map shows the geographic impact of Jesse Davis'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 Jesse Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Davis more than expected).
Fields of papers citing papers by Jesse Davis
This network shows the impact of papers produced by Jesse Davis. 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 Jesse Davis. The network helps show where Jesse Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Davis, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The relationship between Precision-Recall and ROC curves Hit paper breakdown → | 2006 | 3955 |
| 2 | 2009 | 130 | |
| 3 | Learning First-Order Horn Clauses from Web Text | 2010 | 116 |
| 4 | 1983 | 106 | |
| 5 | 2011 | 87 | |
| 6 | 2018 | 73 | |
| 7 | 2009 | 66 | |
| 8 | 2017 | 52 | |
| 9 | 2020 | 48 | |
| 10 | 2015 | 47 | |
| 11 | Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. | 2012 | 47 |
| 12 | 2018 | 46 | |
| 13 | 2018 | 46 | |
| 14 | 1986 | 40 | |
| 15 | 2018 | 38 | |
| 16 | 2010 | 36 | |
| 17 | Automatically detecting and rating product aspects from textual customer reviews | 2014 | 34 |
| 18 | 2005 | 32 | |
| 19 | 2020 | 31 | |
| 20 | 1982 | 31 |
About Jesse Davis
Jesse Davis is a scholar working on Artificial Intelligence, Economics and Econometrics, Orthopedics and Sports Medicine, Information Systems and Molecular Biology, having authored 151 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (34 papers), Sports Performance and Training (21 papers), Sports Analytics and Performance (21 papers), Topic Modeling (16 papers), Anomaly Detection Techniques and Applications (15 papers), Machine Learning and Data Classification (13 papers), Machine Learning and Algorithms (13 papers) and Time Series Analysis and Forecasting (12 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Signal Processing (458 citations), Computer Vision and Pattern Recognition (798 citations), Orthopedics and Sports Medicine (265 citations) and Health Information Management (136 citations). Jesse Davis has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Mark Goadrich, Pedro Domingos, Wannes Meert, Jan Van Haaren, Guy Van den Broeck, Stefan Schoenmackers, Daniel S. Weld, Oren Etzioni, Vı́tor Santos Costa and Tom Decroos. Their work appears in journals such as Machine Learning, Frontiers in Bioengineering and Biotechnology, Sensors, International Journal of Sports Physiology and Performance and Journal of Artificial Intelligence Research.
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.