Countries citing papers authored by Solomon Abegaz
Since
Specialization
Citations
This map shows the geographic impact of Solomon Abegaz'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 Solomon Abegaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solomon Abegaz more than expected).
This network shows the impact of papers produced by Solomon Abegaz. 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 Solomon Abegaz. The network helps show where Solomon Abegaz may publish in the future.
Co-authorship network of co-authors of Solomon Abegaz
This figure shows the co-authorship network connecting the top 25 collaborators of Solomon Abegaz.
A scholar is included among the top collaborators of Solomon Abegaz based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Solomon Abegaz. Solomon Abegaz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Abegaz, Solomon, E. B. Sonaiya, O. A. Adebambo, et al.. (2019). On-farm performance testing of tropically adaptable chicken strains under small holder management in three countries of sub-Saharan Africa. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).5 indexed citations
Abegaz, Solomon, et al.. (2016). Growth and reproductive performance of Fogera cattle breed at Andassa Livestock Research Center. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).9 indexed citations
12.
Mekasha, Yoseph, et al.. (2015). Description of Sheep Production System, Husbandry Practices and Assessment of Major Constraint in Dawuro Zone and Konta Special Wereda of South Region of Ethiopia. Global Journal of Human Social Science. 15(6).5 indexed citations
13.
Mekasha, Yoseph, et al.. (2015). Indigenous Sheep Production System in Eastern Ethiopia: Implications for Genetic Improvement and Sustainable Use. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 11(1). 136–152.16 indexed citations
Abegaz, Solomon, et al.. (2014). Within Breed Phenotypic Diversity of Sokota/Tigray Sheep in Three Selected Zones of Tigray, Northern Ethiopia. Journal of Biology Agriculture and Healthcare. 4(17). 148–157.6 indexed citations
16.
Huson, Heather J., Tad S. Sonstegard, Jeffrey T. Silverstein, et al.. (2014). Genetic and Phenotypic Characterization of African Goat Populations to Prioritize Conservation and Production Efforts for Small-holder Farmers in Sub-Saharan Africa. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 901.15 indexed citations
17.
Mekasha, Yoseph, et al.. (2013). Production objectives, breeding practices and selection criteria of indigenous sheep in eastern Ethiopia.. Livestock research for rural development. 25(9).17 indexed citations
Abegaz, Solomon, et al.. (2002). Non-genetic factors affecting early growth traits and survival in Horro sheep. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).1 indexed citations
20.
Abegaz, Solomon, et al.. (2002). Supplementary feeding of aged horro sheep in relation to weight gain, carcass yield and economic response under ethiopian conditions. Indian Journal of Small Ruminants (The). 8(2). 118–123.1 indexed citations
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.