Eben Kenah

4.1k citations
47 papers · 2.7k indexed · h-index 23

Impact in

Papers in

Eben Kenah

47 papers receiving 2.6k citations

Peers

Eben Kenah
Comparison fields: 5 of 129
  • Modeling and Simulation 966
  • Infectious Diseases 1.2k
  • Epidemiology 1.3k
  • Virology 143
  • Agronomy and Crop Science 292
Replace Joël Mossong with:
Joël Mossong Luxembourg
Nimalan Arinaminpathy United Kingdom
Małgorzata Sadkowska-Todys Poland
M. Elizabeth Halloran United States
Janneke C. M. Heijne Netherlands
Jonathan M. Read United Kingdom
Lyn James Singapore
Thomas House United Kingdom
Sopon Iamsirithaworn Thailand
Lisa Sattenspiel United States
Eben Kenah relative to Joël Mossong Luxembourg Joël Mossong's profile →
Citations per field
00.5×1.6×
Joël Mossong · 1×
Citations per year

Countries citing papers authored by Eben Kenah

Since Specialization
Citations

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

Fields of papers citing papers by Eben Kenah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eben Kenah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eben Kenah Line = papers co-authored together Eben Kenah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20237
5 20235
6 20239
7 20228
8 20223
9 202115
10 202125
11 2020301
12 201345
13 2011159
14 201160
15 2009303
16 200923
17 200975
18 200881
19 200738
20 2006360

About Eben Kenah

Eben Kenah is a scholar working on Modeling and Simulation, Health, Infectious Diseases, Agronomy and Crop Science and Epidemiology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), Influenza Virus Research Studies (9 papers), Vaccine Coverage and Hesitancy (8 papers), Viral Infections and Vectors (7 papers), Animal Disease Management and Epidemiology (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Modeling and Simulation (966 citations), Infectious Diseases (1.2k citations), Epidemiology (1.3k citations), Virology (143 citations) and Agronomy and Crop Science (292 citations). Eben Kenah has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include James M. Robins, Stephen P. Luby, Ira M. Longini, Emily S. Gurley, M. Elizabeth Halloran, Yang Yang, Mahmudur Rahman, Thomas G. Ksiazek, Dennis L. Chao and Laura Matrajt. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Emerging infectious diseases, Clinical Infectious Diseases, Mathematical Biosciences and Eurosurveillance.

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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