Md Pervez Kabir

49 total papers · 665 total citations
25 papers, 368 citations indexed

About

Md Pervez Kabir is a scholar working on Infectious Diseases, Biomedical Engineering and Clinical Psychology. According to data from OpenAlex, Md Pervez Kabir has authored 25 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 6 papers in Biomedical Engineering and 4 papers in Clinical Psychology. Recurrent topics in Md Pervez Kabir's work include SARS-CoV-2 detection and testing (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Biosensors and Analytical Detection (6 papers). Md Pervez Kabir is often cited by papers focused on SARS-CoV-2 detection and testing (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Biosensors and Analytical Detection (6 papers). Md Pervez Kabir collaborates with scholars based in Canada, Bangladesh and United States. Md Pervez Kabir's co-authors include Muhammad Mainuddin Patwary, Mondira Bardhan, Asma Safia Disha, Md. Zahidul Haque, Matthew H.E.M. Browning, Md Ashraful Alam, Russell Kabir, Md Mizanur Rahman, Md. Ali Akber and Md. Atikul Islam and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Research.

In The Last Decade

Md Pervez Kabir

23 papers receiving 362 citations

Hit Papers

COVID-19 Vaccine Acceptan... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Md Pervez Kabir 186 106 64 63 57 25 368
Guoxi Cai 122 0.7× 101 1.0× 22 0.3× 39 0.6× 66 1.2× 26 370
Elizabeth T. Chin 180 1.0× 47 0.4× 79 1.2× 24 0.4× 25 0.4× 19 380
Adil Al Wahaibi 251 1.3× 68 0.6× 27 0.4× 38 0.6× 132 2.3× 34 382
Bo ‍Zhao 89 0.5× 35 0.3× 110 1.7× 43 0.7× 45 0.8× 34 365
Joe Brew 91 0.5× 20 0.2× 27 0.4× 33 0.5× 74 1.3× 21 342
Austin M. Williams 127 0.7× 63 0.6× 20 0.3× 45 0.7× 73 1.3× 28 356
Anna Nguyen 171 0.9× 32 0.3× 26 0.4× 33 0.5× 82 1.4× 19 350
Yi Xing 102 0.5× 32 0.3× 27 0.4× 68 1.1× 99 1.7× 38 365
Md. Syful Islam 79 0.4× 173 1.6× 44 0.7× 59 0.9× 21 0.4× 20 380
Chen Jun-fang 194 1.0× 25 0.2× 11 0.2× 21 0.3× 134 2.4× 30 337

Countries citing papers authored by Md Pervez Kabir

Since Specialization
Citations

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

Fields of papers citing papers by Md Pervez Kabir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Pervez Kabir

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