Vetle I. Torvik
Impact in
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- scientometrics and bibliometrics research
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
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- Biomedical Text Mining and Ontologies 26
- RNA Research and Splicing 4
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- Topic Modeling 13
- Machine Learning and Algorithms 7
- Semantic Web and Ontologies 6
- Co-authors
- Neil R. Smalheiser (29 shared papers)Giovanni Lugli (5 shared papers)Don R. Swanson (4 shared papers)Wei Zhou (6 shared papers)John Larson (2 shared papers)Hooriyah S. Rizavi (2 shared papers)Yogesh Dwivedi (2 shared papers)Marc Weeber (3 shared papers)
- Journals
- PLoS ONE (4 papers)Scientific Data (3 papers)Bioinformatics (2 papers)Trends in Genetics (2 papers)D-Lib Magazine (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Vetle I. Torvik
67 papers receiving 2.9k citations
Vetle I. Torvik's Hit Papers
Peers
Comparison fields: 5 of 158
- Statistics, Probability and Uncertainty 332
- Cancer Research 620
- Management Science and Operations Research 412
- Biological Psychiatry 69
- Developmental Neuroscience 104
Countries citing papers authored by Vetle I. Torvik
This map shows the geographic impact of Vetle I. Torvik'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 Vetle I. Torvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vetle I. Torvik more than expected).
Fields of papers citing papers by Vetle I. Torvik
This network shows the impact of papers produced by Vetle I. Torvik. 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 Vetle I. Torvik. The network helps show where Vetle I. Torvik may publish in the future.
Co-authors
The 25 scholars most cited alongside Vetle I. Torvik, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010) Hit paper breakdown → | 2014 | 396 |
| 2 | 2012 | 272 | |
| 3 | 2005 | 248 | |
| 4 | 2008 | 222 | |
| 5 | 2009 | 207 | |
| 6 | 2009 | 189 | |
| 7 | 2004 | 148 | |
| 8 | 2006 | 132 | |
| 9 | 2020 | 130 | |
| 10 | 2011 | 103 | |
| 11 | 2018 | 85 | |
| 12 | 2006 | 78 | |
| 13 | 2006 | 72 | |
| 14 | 2007 | 60 | |
| 15 | 2009 | 53 | |
| 16 | 2007 | 52 | |
| 17 | 2008 | 46 | |
| 18 | A probabilistic similarity metric for Medline records: A model for author name disambiguation: Research Articles | 2005 | 41 |
| 19 | 2008 | 36 | |
| 20 | 2013 | 34 |
About Vetle I. Torvik
Vetle I. Torvik is a scholar working on Molecular Biology, Artificial Intelligence, Statistics, Probability and Uncertainty, Cancer Research and Management Science and Operations Research, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Topic Modeling (13 papers), scientometrics and bibliometrics research (11 papers), MicroRNA in disease regulation (10 papers), Machine Learning and Algorithms (7 papers), Data Quality and Management (6 papers), Semantic Web and Ontologies (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (332 citations), Cancer Research (620 citations), Management Science and Operations Research (412 citations), Biological Psychiatry (69 citations) and Developmental Neuroscience (104 citations). Vetle I. Torvik has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Neil R. Smalheiser, Giovanni Lugli, Don R. Swanson, Wei Zhou, John Larson, Hooriyah S. Rizavi, Yogesh Dwivedi, Marc Weeber, Ronald Lai and Guancheng Li. Their work appears in journals such as PLoS ONE, Scientific Data, Bioinformatics, Trends in Genetics and D-Lib Magazine.
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.