Abdennasser Chekroun
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Infectious Diseases
- Sociology and Political Science
- Co-authors
- Toshikazu KuniyaMostafa AdimyTarik Mohammed TouaoulaSoufiane BentoutBogdan KaźmierczakJoydev ChattopadhyaySudip SamantaCláudia Pio Ferreira
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (25 papers)Evolution and Genetic Dynamics (12 papers)COVID-19 epidemiological studies (9 papers)
In The Last Decade
Abdennasser Chekroun
31 papers receiving 322 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 237
- Public Health, Environmental and Occupational Health 227
- Genetics 124
- Infectious Diseases 40
- Sociology and Political Science 21
Countries citing papers authored by Abdennasser Chekroun
This map shows the geographic impact of Abdennasser Chekroun'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 Abdennasser Chekroun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdennasser Chekroun more than expected).
Fields of papers citing papers by Abdennasser Chekroun
This network shows the impact of papers produced by Abdennasser Chekroun. 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 Abdennasser Chekroun. The network helps show where Abdennasser Chekroun may publish in the future.
Co-authorship network of co-authors of Abdennasser Chekroun
This figure shows the co-authorship network connecting the top 25 collaborators of Abdennasser Chekroun. A scholar is included among the top collaborators of Abdennasser Chekroun 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 Abdennasser Chekroun. Abdennasser Chekroun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 57 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 22 | |
| 17 | 34 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 5 |
About Abdennasser Chekroun
Abdennasser Chekroun is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 33 papers that have together received 327 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (12 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (237 citations), Public Health, Environmental and Occupational Health (227 citations) and Genetics (124 citations). Abdennasser Chekroun has collaborated with scholars based in Algeria, France and Japan. Frequent co-authors include Toshikazu Kuniya, Mostafa Adimy, Tarik Mohammed Touaoula, Soufiane Bentout, Bogdan Kaźmierczak, Joydev Chattopadhyay, Sudip Samanta, Cláudia Pio Ferreira, Laurent Pujo-Menjouet and Jean‐Philippe Berteau. Their work appears in journals such as Journal of Theoretical Biology, Materials and Journal of Mathematical Analysis and Applications.
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.