Anna Divoli
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Biomedical Text Mining and Ontologies 13
- Bioinformatics and Genomic Networks 4
- Genetics, Bioinformatics, and Biomedical Research 3
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- Semantic Web and Ontologies 7
- Topic Modeling 5
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 2
- Co-authors
- Marti A. Hearst (7 shared papers)Teresa K. Attwood (3 shared papers)Preslav Nakov (3 shared papers)Chun-Nan Hsu (1 shared paper)Lynette Hirschman (1 shared paper)Alexander A. Morgan (1 shared paper)Robert Leaman (1 shared paper)Xinglong Wang (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (2 papers)Future Generation Computer Systems (1 paper)Genome biology (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Anna Divoli
18 papers receiving 523 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 336
- Molecular Biology 404
- Statistical and Nonlinear Physics 30
- Information Systems 45
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Anna Divoli
This map shows the geographic impact of Anna Divoli'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 Anna Divoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Divoli more than expected).
Fields of papers citing papers by Anna Divoli
This network shows the impact of papers produced by Anna Divoli. 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 Anna Divoli. The network helps show where Anna Divoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Divoli, 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 | 2008 | 241 | |
| 2 | 2007 | 83 | |
| 3 | 2019 | 38 | |
| 4 | 2005 | 34 | |
| 5 | 2010 | 19 | |
| 6 | 2011 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2013 | 16 | |
| 9 | 2007 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2005 | 14 | |
| 12 | 2007 | 13 | |
| 13 | 2012 | 12 | |
| 14 | BioText Team Report for the TREC 2006 Genomics Track. | 2006 | 8 |
| 15 | Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding | 2007 | 8 |
| 16 | CUES: Cognitive Usability Evaluation System. | 2012 | 7 |
| 17 | 2013 | 2 | |
| 18 | BioQSpace:: An interactive visualisation tool for clustering MEDLINE abstracts | 2005 | 2 |
About Anna Divoli
Anna Divoli is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Communication and Health, having authored 18 papers that have together received 559 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (7 papers), Topic Modeling (5 papers), Bioinformatics and Genomic Networks (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Artificial Intelligence (336 citations), Molecular Biology (404 citations), Statistical and Nonlinear Physics (30 citations), Information Systems (45 citations) and Computer Vision and Pattern Recognition (40 citations). Anna Divoli has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Marti A. Hearst, Teresa K. Attwood, Preslav Nakov, Chun-Nan Hsu, Lynette Hirschman, Alexander A. Morgan, Robert Leaman, Xinglong Wang, Hongfang Liu and Rafael Torres. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Future Generation Computer Systems, Genome biology 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.