Mahmudur Rahman

1.1k citations
42 papers · 679 indexed · h-index 19
Topics
Influenza Virus Research Studies (10 papers)COVID-19 epidemiological studies (9 papers)Antibiotic Use and Resistance (6 papers)

In The Last Decade

Mahmudur Rahman

38 papers receiving 666 citations

Peers

Mahmudur Rahman
Comparison fields: 5 of 99
  • Epidemiology 282
  • Infectious Diseases 256
  • Public Health, Environmental and Occupational Health 157
  • Agronomy and Crop Science 130
  • Modeling and Simulation 79
Replace Genming Zhao with:
Genming Zhao China
Md. Ariful Islam Bangladesh
Manish Kakkar India
Beatrice Olack Kenya
Bjørn G Iversen Norway
Geeta Shakya Nepal
Shah Hossain India
Yoshinori Yasui Japan
Cheryl Gibbons United Kingdom
Juliet Mwanga‐Amumpaire Uganda
Mahmudur Rahman relative to Genming Zhao China Genming Zhao's profile →
Citations per field
00.5×1.5×2.3×
Genming Zhao · 1×
Citations per year

Countries citing papers authored by Mahmudur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Mahmudur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmudur Rahman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 3
6 1
7 0
8 4
9 7
10 14
11 21
12 1
13 20
14 24
15 20
16 11
17 44
18 38
19 1
20 28

About Mahmudur Rahman

Mahmudur Rahman is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 42 papers that have together received 679 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), COVID-19 epidemiological studies (9 papers) and Antibiotic Use and Resistance (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (71 citations), Modeling and Simulation (79 citations) and Infectious Diseases (256 citations). Mahmudur Rahman has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Stephen P. Luby, Emily S. Gurley, Nitish Debnath, Sukanta Chowdhury, Fahmida Chowdhury, Shahana Parveen, Zubair Akhtar, Md. Ariful Islam, Md Zakiul Hassan and Mejbah Bhuiyan. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Epidemiology.

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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