Mohamed Derouich

27 total papers · 883 total citations
11 papers, 464 citations indexed

About

Mohamed Derouich is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Surgery. According to data from OpenAlex, Mohamed Derouich has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Modeling and Simulation and 3 papers in Surgery. Recurrent topics in Mohamed Derouich's work include COVID-19 epidemiological studies (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mohamed Derouich is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mohamed Derouich collaborates with scholars based in Morocco, France and United Kingdom. Mohamed Derouich's co-authors include Abdesslam Boutayeb, Wiam Boutayeb and Andréa Lazzati and has published in prestigious journals such as Journal of Biomechanics, Applied Mathematics and Computation and European Journal of Obstetrics & Gynecology and Reproductive Biology.

In The Last Decade

Mohamed Derouich

11 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Derouich 260 200 112 95 80 11 464
Dadang Fernando 385 1.5× 18 0.1× 50 0.4× 262 2.8× 31 0.4× 10 506
Goitom Mebrahtu 245 0.9× 17 0.1× 61 0.5× 37 0.4× 16 0.2× 16 482
Angela Balena 49 0.2× 19 0.1× 102 0.9× 214 2.3× 56 0.7× 12 490
Jennifer L. Wilson 332 1.3× 30 0.1× 16 0.1× 306 3.2× 10 0.1× 19 516
Mohamad Arif 111 0.4× 18 0.1× 49 0.4× 208 2.2× 17 0.2× 22 447
Susan E. Gorman 83 0.3× 14 0.1× 34 0.3× 22 0.2× 28 0.3× 22 517
Teegwendé Valérie Porgo 308 1.2× 56 0.3× 6 0.1× 223 2.3× 10 0.1× 11 486
Richard Davies 89 0.3× 15 0.1× 23 0.2× 103 1.1× 57 0.7× 18 483
Senthil Visaga Ambi 32 0.1× 26 0.1× 16 0.1× 137 1.4× 33 0.4× 13 532
B. P. Niranjan Reddy 172 0.7× 8 0.0× 30 0.3× 39 0.4× 40 0.5× 18 452

Countries citing papers authored by Mohamed Derouich

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Derouich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Derouich

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Derouich. A scholar is included among the top collaborators of Mohamed Derouich 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 Mohamed Derouich. Mohamed Derouich 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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