Legesse Lemecha Obsu

523 citations
35 papers · 340 indexed · h-index 11
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (24 papers)COVID-19 epidemiological studies (15 papers)Evolution and Genetic Dynamics (11 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsChaos Solitons & Fractals

In The Last Decade

Legesse Lemecha Obsu

30 papers receiving 333 citations

Peers

Legesse Lemecha Obsu
Comparison fields: 5 of 67
  • Modeling and Simulation 214
  • Public Health, Environmental and Occupational Health 206
  • Infectious Diseases 113
  • Genetics 77
  • Plant Science 31
Replace Ramsès Djidjou‐Demasse with:
Ramsès Djidjou‐Demasse France
Youping Yang China
Faraimunashe Chirove South Africa
Glenn Lahodny United States
Nizar Marcus South Africa
Suzanne L. Robertson United States
Kbenesh W. Blayneh United States
Senelani D. Hove‐Musekwa Zimbabwe
Puntani Pongsumpun Thailand
Muhammad Farhan Pakistan
Legesse Lemecha Obsu relative to Ramsès Djidjou‐Demasse France Ramsès Djidjou‐Demasse's profile →
Citations per field
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Ramsès Djidjou‐Demasse · 1×
Citations per year

Countries citing papers authored by Legesse Lemecha Obsu

Since Specialization
Citations

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

Fields of papers citing papers by Legesse Lemecha Obsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Legesse Lemecha Obsu. 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 Legesse Lemecha Obsu. The network helps show where Legesse Lemecha Obsu may publish in the future.

Co-authorship network of co-authors of Legesse Lemecha Obsu

This figure shows the co-authorship network connecting the top 25 collaborators of Legesse Lemecha Obsu. A scholar is included among the top collaborators of Legesse Lemecha Obsu 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 Legesse Lemecha Obsu. Legesse Lemecha Obsu 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
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11 9
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14 31
15 43
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About Legesse Lemecha Obsu

Legesse Lemecha Obsu is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 35 papers that have together received 340 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), COVID-19 epidemiological studies (15 papers) and Evolution and Genetic Dynamics (11 papers). The work is most often cited by research in Modeling and Simulation (214 citations), Public Health, Environmental and Occupational Health (206 citations) and Infectious Diseases (113 citations). Legesse Lemecha Obsu has collaborated with scholars based in Ethiopia, South Africa and France. Frequent co-authors include Oluwole Daniel Makinde, Fahad Al Basir, Delfim F. M. Torres, Paola Goatin, Chernet Tuge Deressa, Oluwole Daniel Makinde, Maria Laura Delle Monache, Semu Mitiku Kassa and Eshetu Gurmu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.

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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