Amos Ssematimba

666 citations
34 papers · 460 indexed · h-index 11
Topics
Animal Disease Management and Epidemiology (26 papers)Influenza Virus Research Studies (19 papers)COVID-19 epidemiological studies (10 papers)

In The Last Decade

Amos Ssematimba

30 papers receiving 454 citations

Peers

Amos Ssematimba
Comparison fields: 5 of 61
  • Agronomy and Crop Science 275
  • Infectious Diseases 191
  • Epidemiology 142
  • Modeling and Simulation 129
  • Ecology, Evolution, Behavior and Systematics 112
Replace Do H. Dung with:
Do H. Dung Vietnam
Babasola Oluseyi Olugasa Nigeria
Aminu Shittu Nigeria
David D. Lazarus Nigeria
Céline Faverjon Switzerland
Leo Loth Italy
Raphaëlle Métras France
Chaithep Poolkhet Thailand
Birgit Schauer Germany
Fufa Dawo Ethiopia
Amos Ssematimba relative to Do H. Dung Vietnam Do H. Dung's profile →
Citations per field
00.5×2.9×
Do H. Dung · 1×
Citations per year

Countries citing papers authored by Amos Ssematimba

Since Specialization
Citations

This map shows the geographic impact of Amos Ssematimba'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 Amos Ssematimba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amos Ssematimba more than expected).

Fields of papers citing papers by Amos Ssematimba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amos Ssematimba. 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 Amos Ssematimba. The network helps show where Amos Ssematimba may publish in the future.

Co-authorship network of co-authors of Amos Ssematimba

This figure shows the co-authorship network connecting the top 25 collaborators of Amos Ssematimba. A scholar is included among the top collaborators of Amos Ssematimba 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 Amos Ssematimba. Amos Ssematimba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 8
5 6
6 0
7 19
8 9
9 4
10 36
11 4
12 10
13 19
14 9
15 51
16 13
17 46
18 53
19 13
20 72

About Amos Ssematimba

Amos Ssematimba is a scholar working on Agronomy and Crop Science, Modeling and Simulation and Infectious Diseases, having authored 34 papers that have together received 460 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (26 papers), Influenza Virus Research Studies (19 papers) and COVID-19 epidemiological studies (10 papers). The work is most often cited by research in Modeling and Simulation (129 citations), Agronomy and Crop Science (275 citations) and Infectious Diseases (191 citations). Amos Ssematimba has collaborated with scholars based in Uganda, United States and Netherlands. Frequent co-authors include Thomas J. Hagenaars, M.C.M. de Jong, J. Mugisha, Darryn L. Knobel, Richard P. Bishop, Eric M. Fèvre, Carol J. Cardona, Janneke Wit, Arjan Stegeman and Livingstone S. Luboobi. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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.

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