Todd Vision
Impact in
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- Scientific Computing and Data Management
- Plant Science top 1%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in ⓘ
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- Scientific Computing and Data Management 13
- Co-authors
- Steven D. Tanksley (3 shared papers)Daniel G. Brown (2 shared papers)Amy C. Bouck (1 shared paper)Heather Piwowar (5 shared papers)Jiping Liu (1 shared paper)Hsin‐Mei Ku (1 shared paper)Eric Ganko (2 shared papers)Blake C. Meyers (1 shared paper)
- Journals
- Molecular Biology and Evolution (4 papers)Systematic Biology (4 papers)Bioinformatics (3 papers)Genetics (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Todd Vision
68 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Information Systems and Management 367
- Plant Science 1.9k
- Ecological Modeling 178
- Molecular Biology 2.2k
- Genetics 863
Countries citing papers authored by Todd Vision
This map shows the geographic impact of Todd Vision'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 Todd Vision with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Vision more than expected).
Fields of papers citing papers by Todd Vision
This network shows the impact of papers produced by Todd Vision. 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 Todd Vision. The network helps show where Todd Vision may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Vision, 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 | The Origins of Genomic Duplications in Arabidopsis Hit paper breakdown → | 2000 | 802 |
| 2 | 2006 | 418 | |
| 3 | Data reuse and the open data citation advantage Hit paper breakdown → | 2013 | 339 |
| 4 | 2000 | 320 | |
| 5 | 2004 | 255 | |
| 6 | 2007 | 198 | |
| 7 | 2003 | 137 | |
| 8 | 2002 | 105 | |
| 9 | 2000 | 94 | |
| 10 | 2008 | 91 | |
| 11 | 2010 | 86 | |
| 12 | 2010 | 84 | |
| 13 | 2003 | 71 | |
| 14 | 2010 | 65 | |
| 15 | 2011 | 64 | |
| 16 | 2010 | 63 | |
| 17 | 2010 | 62 | |
| 18 | 2007 | 61 | |
| 19 | 2006 | 44 | |
| 20 | 2005 | 43 |
About Todd Vision
Todd Vision is a scholar working on Information Systems and Management, Ecological Modeling, Information Systems, Genetics and Molecular Biology, having authored 71 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), Biomedical Text Mining and Ontologies (19 papers), Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers), Genetic diversity and population structure (9 papers), Semantic Web and Ontologies (8 papers), Chromosomal and Genetic Variations (7 papers) and Data Quality and Management (6 papers). The work is most often cited by research in Information Systems and Management (367 citations), Plant Science (1.9k citations), Ecological Modeling (178 citations), Molecular Biology (2.2k citations) and Genetics (863 citations). Todd Vision has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven D. Tanksley, Daniel G. Brown, Amy C. Bouck, Heather Piwowar, Jiping Liu, Hsin‐Mei Ku, Eric Ganko, Blake C. Meyers, David L. Remington and Thomas J. Guilfoyle. Their work appears in journals such as Molecular Biology and Evolution, Systematic Biology, Bioinformatics, Genetics and PLoS ONE.
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.