Vincent Smith
- Ecological Modeling top 1%
- Species Distribution and Climate Change 29
- Parasitology top 0.5%
- Bird parasitology and diseases 20
- Vector-borne infectious diseases 14
- Ecology top 2%
- Environmental DNA in Biodiversity Studies 9
- Insect Science top 2%
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- Research Data Management Practices 19
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- Scientific Computing and Data Management 13
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- Genomics and Phylogenetic Studies 9
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- Genetic diversity and population structure 7
- Co-authors
- Kevin P. JohnsonDale H. ClaytonLian Pin KohRobert R. DunnRobert K. ColwellH. C. ProctorNavjot S. SodhiVladimir Blagoderov
- Journals
- ZooKeys (11 papers)Molecular Phylogenetics and Evolution (4 papers)Systematic Biology (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Vincent Smith
69 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 117
- Ecological Modeling 492
- Parasitology 627
- Ecology, Evolution, Behavior and Systematics 834
- Ecology 713
- Insect Science 285
Countries citing papers authored by Vincent Smith
This map shows the geographic impact of Vincent Smith'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 Vincent Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Smith more than expected).
Fields of papers citing papers by Vincent Smith
This network shows the impact of papers produced by Vincent Smith. 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 Vincent Smith. The network helps show where Vincent Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincent Smith, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 2 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 1 | |
| 14 | 2010 | 21 | |
| 15 | 2009 | 25 | |
| 16 | 2009 | 31 | |
| 17 | 2004 | 413 | |
| 18 | 2003 | 2 | |
| 19 | 2001 | 57 | |
| 20 | 2001 | 116 |
About Vincent Smith
Vincent Smith is a scholar working on Ecological Modeling, Parasitology, Information Systems and Management, Information Systems and Ecology, Evolution, Behavior and Systematics, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (29 papers), Bird parasitology and diseases (20 papers), Research Data Management Practices (19 papers), Vector-borne infectious diseases (14 papers), Scientific Computing and Data Management (13 papers), Genomics and Phylogenetic Studies (9 papers), Environmental DNA in Biodiversity Studies (9 papers) and Genetic diversity and population structure (7 papers). The work is most often cited by research in Ecological Modeling (492 citations), Parasitology (627 citations), Ecology, Evolution, Behavior and Systematics (834 citations), Ecology (713 citations) and Insect Science (285 citations). Vincent Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kevin P. Johnson, Dale H. Clayton, Lian Pin Koh, Robert R. Dunn, Robert K. Colwell, H. C. Proctor, Navjot S. Sodhi, Vladimir Blagoderov, Roderic Page and David L. Reed. Their work appears in journals such as ZooKeys, Molecular Phylogenetics and Evolution, Systematic Biology, Database and Proceedings of the Royal Society B Biological Sciences.
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.