Automated Author ProfileBujiku, Antony
Bujiku, Antony
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Global multi-crop agricultural trial data supported by citizen scienceThe triadic comparison of technologies (tricot) is a citizen science approach for testing technology options in their target environments, which has been applied to on-farm testing of crop varieties. ‘Triadic’ refers to the sets of three technology options that are compared by each participant. In the approach, participants are invited to test an anonymous set of three technologies (out of a larger number, generally between 5 to 20) randomly assigned. Between 2011 and 2025 the tricot approach was applied in more than 25 countries across Africa, Asia, Europe and Latin America with more than 30 crops.tricot data v1This release consolidates standardized trial outputs from participatory on-farm evaluations implemented through the tricot (triadic comparison of technology options) approach. This dataset supports re-use for variety evaluation, genotype-by-environment research, target population of environments (TPE) analyses, farmer preference modeling, and broader work on data-driven crop improvement and climate adaptation.Number of new studies: 41 Countries covered: 5 (BJ, ML, TZ, NG, RW)Crops covered: 10 Total participant observations added: ~12,355 participants
Authors
- de Sousa, Kauê ;
- Laporte, Marie-Angélique ;
- Achigan-Dako, Enoch G. ;
- Adonia, Joseph ;
- Aglinglo, Lys Amavi ;
- Atieno, Elly Ouma ;
- Ayenan, Mathieu ;
- Boukar, Ousmane ;
- Bujiku, Antony ;
- Chase, Rachel ;
- Coto, Allan ;
- Coulibaly, Harouna ;
- Cremaschi, Almendra ;
- Das, Roma Rani ;
- Daudi, Happy ;
- Diarra, Danfing dit Youssouf ;
- Dolo, Aminata ;
- Dorado-Betancourt, Hugo ;
- Ellison, James ;
- Gandhi, Harish ;
- Houdegbe, Aristide Carlos ;
- Jørgensen, Marit ;
- Katamba, Emmanuel ;
- Kileo, Aishi ;
- Laswai, Emmanuel V. ;
- Legba, Eric C. ;
- Madriz, Brandon ;
- Malulu, Dickson ;
- Manrow-Villalobos, Marilyn ;
- Matumbo, Zamira ;
- Mlaki, Anna ;
- Mousavi, Hesam ;
- Mulatu, Kalkidan Ayele ;
- N'Danikou, Sognigbé ;
- Nabateregga, Mabel ;
- Nadigatla, Ganga Rao V. P. R. ;
- Neby, Magne ;
- Notenbaert, An ;
- Nyawade, Shadrack Otieno ;
- Ojiewo, Christopher Ochieng ;
- Ongom, Patrick Obia ;
- Ouedraogo, Colette Ouidyam ;
- Rathore, Abhishek ;
- Salaou, Abdou Mouizz B. ;
- Shango, Abdul ;
- Sharma, Kalpana ;
- Sibomana, Milindi ;
- Sidibe, Amadou ;
- Sohindji, Silvère Fernand ;
- Solberg, Svein Øivind ;
- Steinke, Jonathan ;
- Tchokponhoue, Dèdéou Apocalypse ;
- Tuyishime, Elysé ;
- van Etten, Jacob ;
- van Heerwaarden, Joost ;
- van Zonneveld, Maarten