Nigel Duffy
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Neural Networks and Applications
- Machine Learning and Data Classification
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 6
- Machine Learning and Algorithms 5
- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and Data Classification 4
- Evolutionary Algorithms and Applications 3
- Natural Language Processing Techniques 2
- Topic Modeling 2
- Co-authors
- David H. Haussler (1 shared paper)Michèl Schummer (2 shared papers)David W. Bednarski (2 shared papers)Terrence S. Furey (2 shared papers)Nello Cristianini (2 shared papers)Michael J. Collins (1 shared paper)Michael Collins (1 shared paper)David P. Helmbold (5 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Theoretical Computer Science (1 paper)Machine Learning (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Nigel Duffy
19 papers receiving 3.6k citations
Nigel Duffy's Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 722
- Molecular Biology 1.3k
- Signal Processing 154
- Computational Theory and Mathematics 230
Countries citing papers authored by Nigel Duffy
This map shows the geographic impact of Nigel Duffy'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 Nigel Duffy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Duffy more than expected).
Fields of papers citing papers by Nigel Duffy
This network shows the impact of papers produced by Nigel Duffy. 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 Nigel Duffy. The network helps show where Nigel Duffy may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Duffy, 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 | Support vector machine classification and validation of cancer tissue samples using microarray expression data Hit paper breakdown → | 2000 | 1961 |
| 2 | Convolution Kernels for Natural Language Hit paper breakdown → | 2002 | 635 |
| 3 | Evolving Deep Neural Networks Hit paper breakdown → | 2018 | 540 |
| 4 | 2001 | 409 | |
| 5 | 2002 | 142 | |
| 6 | 2023 | 72 | |
| 7 | Potential Boosters | 1999 | 29 |
| 8 | Leveraging for Regression | 2000 | 27 |
| 9 | 1999 | 20 | |
| 10 | 2011 | 16 | |
| 11 | 2002 | 14 | |
| 12 | 2017 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 4 | |
| 15 | Support Vector Machine | 2004 | 3 |
| 16 | 2023 | 2 | |
| 17 | 2002 | 2 | |
| 18 | Document Enhancement System Using Auto-encoders | 2019 | 2 |
| 19 | 2002 | 1 | |
| 20 | Generalized Connectionist Associative Memory | 1999 | 0 |
About Nigel Duffy
Nigel Duffy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Computational Theory and Mathematics and Information Systems, having authored 20 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Machine Learning and Algorithms (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Data Classification (4 papers), Evolutionary Algorithms and Applications (3 papers), Natural Language Processing Techniques (2 papers), Data Quality and Management (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (722 citations), Molecular Biology (1.3k citations), Signal Processing (154 citations) and Computational Theory and Mathematics (230 citations). Nigel Duffy has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include David H. Haussler, Michèl Schummer, David W. Bednarski, Terrence S. Furey, Nello Cristianini, Michael J. Collins, Michael Collins, David P. Helmbold, Risto P Miikkulainen and Hormoz Shahrzad. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Theoretical Computer Science, Machine Learning, Bioorganic & Medicinal Chemistry Letters and Bioinformatics.
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.