Bénoît Cochard
Impact in
Papers in
- Co-authors
- Tristan Durand-Gasselin (34 shared papers)Philippe Amblard (16 shared papers)Benjamin Adon (16 shared papers)David Cros (9 shared papers)Virginie Pomiès (12 shared papers)Albert Flori (10 shared papers)Marie Denis (6 shared papers)Alphonse Omoré (4 shared papers)
- Journals
- Tree Genetics & Genomes (2 papers)BMC Genomics (2 papers)Theoretical and Applied Genetics (2 papers)Industrial Crops and Products (1 paper)Molecular Breeding (1 paper)
- Partner nations
- FranceBeninIvory Coast
In The Last Decade
Bénoît Cochard
48 papers receiving 579 citations
Peers
Comparison fields: 5 of 49
- Ecology 278
- Genetics 266
- Horticulture 3
- Plant Science 157
- Biochemistry 15
Countries citing papers authored by Bénoît Cochard
This map shows the geographic impact of Bénoît Cochard'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 Bénoît Cochard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénoît Cochard more than expected).
Fields of papers citing papers by Bénoît Cochard
This network shows the impact of papers produced by Bénoît Cochard. 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 Bénoît Cochard. The network helps show where Bénoît Cochard may publish in the future.
Co-authors
The 25 scholars most cited alongside Bénoît Cochard, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 120 | |
| 2 | 2014 | 79 | |
| 3 | 2009 | 66 | |
| 4 | 2005 | 45 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 32 | |
| 7 | 2001 | 26 | |
| 8 | 2000 | 20 | |
| 9 | 2016 | 15 | |
| 10 | Availability of quality pollen for improved oil palm (Elaeis guineensis Jacq.) seed production. | 1999 | 14 |
| 11 | 2010 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2020 | 12 | |
| 16 | Second cycle reciprocal recurrent selection in oil palm, Elaeis guineensis Jacq. Results of Deli × La Mé hybrid tests | 1993 | 11 |
| 17 | Performance of adult oil palm clones | 2000 | 10 |
| 18 | 2005 | 8 | |
| 19 | Breeding for sustainable palm oil | 2011 | 8 |
| 20 | 2021 | 8 |
About Bénoît Cochard
Bénoît Cochard is a scholar working on Ecology, Genetics, Plant Science, Cell Biology and Pharmacology, having authored 53 papers that have together received 645 indexed citations. Recurring topics across this work include Oil Palm Production and Sustainability (37 papers), Genetics and Plant Breeding (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (9 papers), Genetic diversity and population structure (3 papers), Plant Disease Resistance and Genetics (3 papers), Plant Reproductive Biology (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Ecology (278 citations), Genetics (266 citations), Horticulture (3 citations), Plant Science (157 citations) and Biochemistry (15 citations). Bénoît Cochard has collaborated with scholars based in France, Benin and Ivory Coast. Frequent co-authors include Tristan Durand-Gasselin, Philippe Amblard, Benjamin Adon, David Cros, Virginie Pomiès, Albert Flori, Marie Denis, Alphonse Omoré, Norbert Billotte and Bruno Nouy. Their work appears in journals such as Tree Genetics & Genomes, BMC Genomics, Theoretical and Applied Genetics, Industrial Crops and Products and Molecular Breeding.
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.