Mark Craven
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Immunology and Allergy top 1%
Papers in
-
- Biomedical Text Mining and Ontologies 13
- Machine Learning in Bioinformatics 10
- Gene expression and cancer classification 10
- Bioinformatics and Genomic Networks 9
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- Natural Language Processing Techniques 14
- Topic Modeling 12
- Machine Learning and Algorithms 9
- Co-authors
- Burr Settles (8 shared papers)Jude Shavlik (11 shared papers)Soumya Ray (6 shared papers)Johan Kumlien (1 shared paper)Seán Slattery (3 shared papers)Ashley Woodcock (13 shared papers)Adnan Čustović (13 shared papers)David Andrzejewski (4 shared papers)
- Journals
- Journal of Allergy and Clinical Immunology (6 papers)Bioinformatics (6 papers)PLoS Computational Biology (5 papers)BMC Bioinformatics (4 papers)Clinical & Experimental Allergy (4 papers)
- Partner nations
- United StatesUnited KingdomGhana
In The Last Decade
Mark Craven
105 papers receiving 5.6k citations
Mark Craven's Hit Papers
Peers
Comparison fields: 5 of 193
- Artificial Intelligence 3.2k
- Immunology and Allergy 411
- Information Systems 822
- Health Informatics 40
- Computer Vision and Pattern Recognition 603
Countries citing papers authored by Mark Craven
This map shows the geographic impact of Mark Craven'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 Mark Craven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Craven more than expected).
Fields of papers citing papers by Mark Craven
This network shows the impact of papers produced by Mark Craven. 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 Mark Craven. The network helps show where Mark Craven may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Craven, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An analysis of active learning strategies for sequence labeling tasks Hit paper breakdown → | 2008 | 637 |
| 2 | Learning to extract symbolic knowledge from the World Wide Web | 1998 | 442 |
| 3 | Constructing biological knowledge bases by extracting information from text sources. | 1999 | 375 |
| 4 | Extracting Tree-Structured Representations of Trained Networks | 1995 | 342 |
| 5 | Multiple-Instance Active Learning | 2007 | 312 |
| 6 | 2000 | 286 | |
| 7 | 2009 | 278 | |
| 8 | 2001 | 169 | |
| 9 | 1997 | 163 | |
| 10 | 2005 | 154 | |
| 11 | Extracting comprehensible models from trained neural networks | 1996 | 147 |
| 12 | 2003 | 141 | |
| 13 | 2000 | 141 | |
| 14 | Active Learning with Real Annotation Costs | 2008 | 133 |
| 15 | 2001 | 120 | |
| 16 | Hierarchical hidden Markov models for information extraction | 2003 | 94 |
| 17 | 2011 | 82 | |
| 18 | Representing sentence structure in hidden Markov models for information extraction | 2001 | 82 |
| 19 | 1999 | 79 | |
| 20 | 2001 | 78 |
About Mark Craven
Mark Craven is a scholar working on Molecular Biology, Artificial Intelligence, Immunology and Allergy, Information Systems and Physiology, having authored 107 papers that have together received 6.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (12 papers), Machine Learning in Bioinformatics (10 papers), Gene expression and cancer classification (10 papers), Machine Learning and Algorithms (9 papers), Bioinformatics and Genomic Networks (9 papers) and Allergic Rhinitis and Sensitization (8 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Immunology and Allergy (411 citations), Information Systems (822 citations), Health Informatics (40 citations) and Computer Vision and Pattern Recognition (603 citations). Mark Craven has collaborated with scholars based in United States, United Kingdom and Ghana. Frequent co-authors include Burr Settles, Jude Shavlik, Soumya Ray, Johan Kumlien, Seán Slattery, Ashley Woodcock, Adnan Čustović, David Andrzejewski, Xiaojin Zhu and Dayne Freitag. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Bioinformatics, PLoS Computational Biology, BMC Bioinformatics and Clinical & Experimental Allergy.
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.