Md Abdul Kuddus

21 total papers · 739 total citations
14 papers, 458 citations indexed

About

Md Abdul Kuddus is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Md Abdul Kuddus has authored 14 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Modeling and Simulation and 4 papers in Epidemiology. Recurrent topics in Md Abdul Kuddus's work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Md Abdul Kuddus is often cited by papers focused on COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Md Abdul Kuddus collaborates with scholars based in Bangladesh, Australia and United Kingdom. Md Abdul Kuddus's co-authors include Emma S. McBryde, Liz Tynan, Michael T. Meehan, Azizur Rahman, Adeshina I. Adekunle, Lisa J. White, Oyelola A. Adegboye, Ezra Gayawan, Sophal Oum and Andrew L. Corwin and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Md Abdul Kuddus

14 papers receiving 438 citations

Hit Papers

Urbanization: a problem f... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Md Abdul Kuddus 145 112 98 69 66 14 458
Pamela P. Martinez 223 1.5× 93 0.8× 141 1.4× 78 1.1× 33 0.5× 19 548
Creighton Connolly 131 0.9× 61 0.5× 39 0.4× 106 1.5× 93 1.4× 24 546
Alessandra Carioli 212 1.5× 68 0.6× 92 0.9× 94 1.4× 75 1.1× 16 483
George Streftaris 115 0.8× 51 0.5× 58 0.6× 30 0.4× 17 0.3× 35 433
Asha Herten-Crabb 49 0.3× 94 0.8× 55 0.6× 81 1.2× 21 0.3× 15 532
Leonardo López 371 2.6× 101 0.9× 143 1.5× 136 2.0× 42 0.6× 17 483
Susie ElSaadany 86 0.6× 62 0.6× 47 0.5× 41 0.6× 24 0.4× 27 428
Alicia N.M. Kraay 108 0.7× 53 0.5× 269 2.7× 22 0.3× 18 0.3× 20 475
Andy Ross 196 1.4× 28 0.3× 121 1.2× 34 0.5× 23 0.3× 6 546
Yoon Ling Cheong 118 0.8× 284 2.5× 123 1.3× 33 0.5× 40 0.6× 30 502

Countries citing papers authored by Md Abdul Kuddus

Since Specialization
Citations

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

Fields of papers citing papers by Md Abdul Kuddus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Abdul Kuddus. 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 Md Abdul Kuddus. The network helps show where Md Abdul Kuddus may publish in the future.

Co-authorship network of co-authors of Md Abdul Kuddus

This figure shows the co-authorship network connecting the top 25 collaborators of Md Abdul Kuddus. A scholar is included among the top collaborators of Md Abdul Kuddus 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 Md Abdul Kuddus. Md Abdul Kuddus 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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