Jesse Read
Impact in
- Artificial Intelligence top 0.2%
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
-
- Data Stream Mining Techniques 28
- Text and Document Classification Technologies 23
- Machine Learning and Data Classification 5
- Target Tracking and Data Fusion in Sensor Networks 3
- Explainable Artificial Intelligence (XAI) 2
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- Markov Chains and Monte Carlo Methods 6
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Geoffrey Holmes (17 shared papers)Bernhard Pfahringer (18 shared papers)Eibe Frank (3 shared papers)Albert Bifet (30 shared papers)Luca Martino (12 shared papers)Heitor Murilo Gomes (7 shared papers)Jean Paul Barddal (2 shared papers)David Luengo (5 shared papers)
- Journals
- Machine Learning (6 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Pattern Recognition (3 papers)Lecture notes in computer science (19 papers)ACM Computing Surveys (2 papers)
- Partner nations
- FranceNew ZealandSpain
In The Last Decade
Jesse Read
78 papers receiving 5.3k citations
Jesse Read's Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 4k
- Human-Computer Interaction 112
- Computer Vision and Pattern Recognition 341
- Signal Processing 117
- Information Systems 317
Countries citing papers authored by Jesse Read
This map shows the geographic impact of Jesse Read'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 Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Read more than expected).
Fields of papers citing papers by Jesse Read
This network shows the impact of papers produced by Jesse Read. 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 Read. The network helps show where Jesse Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Read, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classifier chains for multi-label classification Hit paper breakdown → | 2011 | 1785 |
| 2 | Adaptive random forests for evolving data stream classification Hit paper breakdown → | 2017 | 589 |
| 3 | Classifier Chains for Multi-label Classification Hit paper breakdown → | 2009 | 495 |
| 4 | 2008 | 336 | |
| 5 | 2019 | 188 | |
| 6 | 2015 | 140 | |
| 7 | 2016 | 136 | |
| 8 | 2012 | 122 | |
| 9 | 2020 | 113 | |
| 10 | 2013 | 98 | |
| 11 | 2014 | 92 | |
| 12 | 2019 | 90 | |
| 13 | 2012 | 84 | |
| 14 | 2013 | 70 | |
| 15 | 2021 | 68 | |
| 16 | 2013 | 66 | |
| 17 | A pruned problem transformation method for multi-label classification | 2008 | 63 |
| 18 | 2015 | 63 | |
| 19 | 2015 | 62 | |
| 20 | 2013 | 61 |
About Jesse Read
Jesse Read is a scholar working on Artificial Intelligence, Statistics and Probability, Statistical and Nonlinear Physics, Transportation and Signal Processing, having authored 83 papers that have together received 5.5k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (28 papers), Text and Document Classification Technologies (23 papers), Markov Chains and Monte Carlo Methods (6 papers), Machine Learning and Data Classification (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Complex Network Analysis Techniques (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (4k citations), Human-Computer Interaction (112 citations), Computer Vision and Pattern Recognition (341 citations), Signal Processing (117 citations) and Information Systems (317 citations). Jesse Read has collaborated with scholars based in France, New Zealand and Spain. Frequent co-authors include Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Luca Martino, Heitor Murilo Gomes, Jean Paul Barddal, David Luengo, Talel Abdessalem and Fabrício Enembreck. Their work appears in journals such as Machine Learning, IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition, Lecture notes in computer science and ACM Computing Surveys.
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.