Jon Curtis
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
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- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Semantic Web and Ontologies 4
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- Video Analysis and Summarization 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Hans Lehrach (3 shared papers)Sebastian Meier‐Ewert (2 shared papers)David Baxter (4 shared papers)John Cabral (3 shared papers)Stuart Aitken (1 shared paper)Michael Witbrock (6 shared papers)David Schneider (1 shared paper)Cynthia Matuszek (1 shared paper)
- Journals
- Bioresource Technology (1 paper)Nature (1 paper)Scientific Reports (1 paper)Journal of Biotechnology (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United KingdomGermanyAustria
In The Last Decade
Jon Curtis
13 papers receiving 262 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 118
- Molecular Biology 132
- Computer Vision and Pattern Recognition 33
- Information Systems 36
- Signal Processing 14
Countries citing papers authored by Jon Curtis
This map shows the geographic impact of Jon Curtis'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 Jon Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Curtis more than expected).
Fields of papers citing papers by Jon Curtis
This network shows the impact of papers produced by Jon Curtis. 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 Jon Curtis. The network helps show where Jon Curtis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Curtis, 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 | 1993 | 91 | |
| 2 | 1994 | 55 | |
| 3 | 2005 | 32 | |
| 4 | 2006 | 28 | |
| 5 | 2006 | 26 | |
| 6 | SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. | 2012 | 17 |
| 7 | 2002 | 15 | |
| 8 | 2004 | 11 | |
| 9 | SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. | 2013 | 5 |
| 10 | Methods of Rule Acquisition in the TextLearner System. | 2009 | 5 |
| 11 | 2022 | 5 | |
| 12 | Team SRI-Sarnoff 's AURORA System @ TRECVID 2011 | 2011 | 4 |
| 13 | 2004 | 3 |
About Jon Curtis
Jon Curtis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Infectious Diseases, having authored 13 papers that have together received 297 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Semantic Web and Ontologies (4 papers), Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (118 citations), Molecular Biology (132 citations), Computer Vision and Pattern Recognition (33 citations), Information Systems (36 citations) and Signal Processing (14 citations). Jon Curtis has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Hans Lehrach, Sebastian Meier‐Ewert, David Baxter, John Cabral, Stuart Aitken, Michael Witbrock, David Schneider, Cynthia Matuszek, Omar Javed and Jingen Liu. Their work appears in journals such as Bioresource Technology, Nature, Scientific Reports, Journal of Biotechnology and Lecture notes in computer science.
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.