Home › Researcher directory › Mark E. Caulfield
Mark E. Caulfield
Affiliation : International Livestock Research Institute
- 4Publications (affiliation in Kenya)
Research profile
Mark E. Caulfield has 4 indexed publications (2020–2025). Their work appears mainly in “Journal of Cleaner Production”, “Agricultural Systems” and “Frontiers in Sustainable Food Systems”. Their most cited article, “Poverty dynamics and the determining factors among East African smallholder farmers” (2023), has been cited 26 times. 2 of these publications date from the last three years of activity. Their work is co-authored with at least 8 researchers.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsPublications (4)
- Marginal abatement cost curves of climate-smart agricultural practices to mitigate greenhouse gas emissions from smallholder dairy farms in Kenya
- Poverty dynamics and the determining factors among East African smallholder farmers
- Unpicking the Inter-relationships Between Off-Farm Livelihood Diversification, Household Characteristics, and Farm Management in the Rural Andes
- Land Tenure Insecurity Constrains Cropping System Investment in the Jordan Valley of the West Bank
Publication venues
- Journal of Cleaner Production × 1
- Agricultural Systems × 1
- Frontiers in Sustainable Food Systems × 1
- Sustainability × 1
Publications per year
- 20251
- 20231
- 20211
- 20201
Collaborations
Partner institutions : International Center for Tropical Agriculture · Ministry of Agriculture Livestock and Fisheries
Co-authors
- James Hammond
- Mark T. van Wijk
- Jesse Kagai Gakige
- Claudia Arndt
- Bernard Kimoro
- Todd S. Rosenstock
- Nils Teufel
- Esther Kihoro
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.