Anna Divoli
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Biomedical Text Mining and Ontologies 13
- Bioinformatics and Genomic Networks 2
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- Topic Modeling 5
- Semantic Web and Ontologies 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)Yun Sing Koh (2 shared papers)Gillian Dobbie (2 shared papers)Preslav Nakov (3 shared papers)Zhiyong Lu (1 shared paper)Patrick Ruch (1 shared paper)Chun-Nan Hsu (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (2 papers)Computer applications in the biosciences (1 paper)Future Generation Computer Systems (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Anna Divoli
19 papers receiving 564 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 290
- Molecular Biology 374
- Statistical and Nonlinear Physics 54
- Information Systems 52
- Computer Vision and Pattern Recognition 43
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 | 41 | |
| 4 | 2019 | 36 | |
| 5 | 2005 | 34 | |
| 6 | 2010 | 19 | |
| 7 | 2015 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2007 | 15 | |
| 11 | 2005 | 14 | |
| 12 | 2011 | 14 | |
| 13 | 2007 | 13 | |
| 14 | 2012 | 12 | |
| 15 | Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding | 2007 | 8 |
| 16 | BioText Team Report for the TREC 2006 Genomics Track. | 2006 | 8 |
| 17 | CUES: Cognitive Usability Evaluation System. | 2012 | 7 |
| 18 | 2013 | 2 | |
| 19 | 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, Statistical and Nonlinear Physics, Communication and Social Psychology, having authored 19 papers that have together received 599 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (2 papers), Bioinformatics and Genomic Networks (2 papers), Complex Network Analysis Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Artificial Intelligence (290 citations), Molecular Biology (374 citations), Statistical and Nonlinear Physics (54 citations), Information Systems (52 citations) and Computer Vision and Pattern Recognition (43 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, Yun Sing Koh, Gillian Dobbie, Preslav Nakov, Zhiyong Lu, Patrick Ruch, Chun-Nan Hsu, Lynette Hirschman and Harendra Guturu. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Computer applications in the biosciences, Future Generation Computer Systems 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.