Jean Lubuma

128 total papers · 2.1k total citations
90 papers, 1.6k citations indexed

About

Jean Lubuma is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Jean Lubuma has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Public Health, Environmental and Occupational Health, 42 papers in Modeling and Simulation and 27 papers in Genetics. Recurrent topics in Jean Lubuma's work include Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), Evolution and Genetic Dynamics (25 papers) and COVID-19 epidemiological studies (25 papers). Jean Lubuma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), Evolution and Genetic Dynamics (25 papers) and COVID-19 epidemiological studies (25 papers). Jean Lubuma collaborates with scholars based in South Africa, France and Cameroon. Jean Lubuma's co-authors include Roumen Anguelov, Berge Tsanou, Yves Dumont, S. Garba, Kailash C. Patidar, Michael Chapwanya, Abba B. Gumel, Ronald E. Mickens, N. Morris and Meir Shillor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Chaos Solitons & Fractals.

In The Last Decade

Jean Lubuma

83 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jean Lubuma	899	743	352	297	261	90	1.6k
Fabio Milner	523 0.6×	724 1.0×	203 0.6×	306 1.0×	75 0.3×	82	1.7k
Anwar Zeb	1.2k 1.4×	895 1.2×	168 0.5×	165 0.6×	124 0.5×	141	2.0k
Peter Ekkehard Kopp	803 0.9×	446 0.6×	53 0.2×	295 1.0×	579 2.2×	22	2.3k
E.J. Allen	315 0.4×	377 0.5×	163 0.5×	224 0.8×	51 0.2×	67	1.4k
Stavros Busenberg	906 1.0×	1.2k 1.7×	159 0.5×	658 2.2×	90 0.3×	62	1.9k
Nauman Ahmed	1.1k 1.3×	821 1.1×	197 0.6×	214 0.7×	129 0.5×	231	2.2k
Gauthier Sallet	473 0.5×	611 0.8×	75 0.2×	363 1.2×	83 0.3×	55	1.5k
Ebraheem Alzahrani	888 1.0×	658 0.9×	89 0.3×	126 0.4×	160 0.6×	88	2.0k
Ángela Torres	496 0.6×	564 0.8×	116 0.3×	216 0.7×	55 0.2×	74	1.9k
Hirokazu Ninomiya	261 0.3×	689 0.9×	195 0.6×	212 0.7×	128 0.5×	83	1.7k

Countries citing papers authored by Jean Lubuma

Since Specialization

Citations

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

Fields of papers citing papers by Jean Lubuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Lubuma

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

All Works

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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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