Vetle I. Torvik
Impact in
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- scientometrics and bibliometrics research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Biomedical Text Mining and Ontologies 25
- RNA Research and Splicing 5
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- Topic Modeling 14
- Semantic Web and Ontologies 7
- Machine Learning and Algorithms 4
- Co-authors
- Neil R. Smalheiser (28 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)D-Lib Magazine (2 papers)Bioinformatics (2 papers)Trends in Genetics (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Vetle I. Torvik
61 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Statistics, Probability and Uncertainty 342
- Cancer Research 639
- Management Science and Operations Research 379
- Developmental Neuroscience 123
- Biological Psychiatry 71
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 66 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 | 385 |
| 2 | 2012 | 259 | |
| 3 | 2005 | 234 | |
| 4 | 2008 | 211 | |
| 5 | 2009 | 192 | |
| 6 | 2009 | 173 | |
| 7 | 2004 | 134 | |
| 8 | 2006 | 129 | |
| 9 | 2020 | 118 | |
| 10 | 2011 | 96 | |
| 11 | 2018 | 81 | |
| 12 | 2006 | 73 | |
| 13 | 2006 | 57 | |
| 14 | 2007 | 51 | |
| 15 | 2009 | 46 | |
| 16 | 2008 | 43 | |
| 17 | 2007 | 39 | |
| 18 | A probabilistic similarity metric for Medline records: A model for author name disambiguation: Research Articles | 2005 | 37 |
| 19 | 2008 | 35 | |
| 20 | 2013 | 32 |
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 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Topic Modeling (14 papers), scientometrics and bibliometrics research (11 papers), MicroRNA in disease regulation (10 papers), Semantic Web and Ontologies (7 papers), Data Quality and Management (6 papers), RNA Research and Splicing (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (342 citations), Cancer Research (639 citations), Management Science and Operations Research (379 citations), Developmental Neuroscience (123 citations) and Biological Psychiatry (71 citations). Vetle I. Torvik has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Neil R. Smalheiser, Giovanni Lugli, Don R. Swanson, Wei Zhou, John Larson, Hooriyah S. Rizavi, Yogesh Dwivedi, Marc Weeber, Amy Yu and Lee Fleming. Their work appears in journals such as PLoS ONE, Scientific Data, D-Lib Magazine, Bioinformatics and Trends in Genetics.
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.