Christopher Viot
Impact in
- Horticulture top 2%
- Cocoa and Sweet Potato Agronomy
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
-
- Research in Cotton Cultivation 9
- Plant Virus Research Studies 3
-
- Plant and Fungal Interactions Research 4
- Co-authors
- Jonathan F. Wendel (1 shared paper)Jean-Marc Lacape (5 shared papers)John Jacobs (3 shared papers)Janine Jean (3 shared papers)Danny Llewellyn (4 shared papers)Pierre Jouventin (2 shared papers)Tony Arioli (3 shared papers)Shiming Liu (2 shared papers)
- Journals
- Theoretical and Applied Genetics (1 paper)Annals of Applied Biology (1 paper)Field Crops Research (1 paper)Ibis (1 paper)Bragantia (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Christopher Viot
16 papers receiving 447 citations
Peers
Comparison fields: 5 of 65
- Horticulture 79
- Endocrinology 85
- Plant Science 304
- Food Science 55
- Paleontology 19
Countries citing papers authored by Christopher Viot
This map shows the geographic impact of Christopher Viot'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 Christopher Viot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Viot more than expected).
Fields of papers citing papers by Christopher Viot
This network shows the impact of papers produced by Christopher Viot. 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 Christopher Viot. The network helps show where Christopher Viot may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Viot, 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 | 2018 | 130 | |
| 2 | 2010 | 111 | |
| 3 | 2009 | 81 | |
| 4 | 2013 | 41 | |
| 5 | 2023 | 40 | |
| 6 | 1985 | 25 | |
| 7 | 1993 | 12 | |
| 8 | 2019 | 8 | |
| 9 | 2007 | 5 | |
| 10 | Recréer du lien dans les filières cotonnières : la sélection participative au Bénin et au Paraguay | 2006 | 3 |
| 11 | 2022 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 1 | |
| 16 | Non-independence between markers on homoeologous chromosomes in an interspecific allopolyploid cotton RILs population | 2009 | 1 |
About Christopher Viot
Christopher Viot is a scholar working on Plant Science, Endocrinology, General Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 16 papers that have together received 468 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (9 papers), Plant and Fungal Interactions Research (4 papers), Plant Virus Research Studies (3 papers), Agriculture, Land Use, Rural Development (3 papers), Avian ecology and behavior (2 papers), Genetic diversity and population structure (2 papers), Insect and Pesticide Research (1 paper) and Polar Research and Ecology (1 paper). The work is most often cited by research in Horticulture (79 citations), Endocrinology (85 citations), Plant Science (304 citations), Food Science (55 citations) and Paleontology (19 citations). Christopher Viot has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Jonathan F. Wendel, Jean-Marc Lacape, John Jacobs, Janine Jean, Danny Llewellyn, Pierre Jouventin, Tony Arioli, Shiming Liu, Dávid Becker and Marc Giband. Their work appears in journals such as Theoretical and Applied Genetics, Annals of Applied Biology, Field Crops Research, Ibis and Bragantia.
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.