Mainul Haque

2.7k citations
113 papers · 2.0k · h-index 28

Impact in

Papers in

Mainul Haque

96 papers receiving 1.9k citations

Peers

Mainul Haque
Comparison fields: 5 of 129
  • Modeling and Simulation 594
  • Public Health, Environmental and Occupational Health 1.5k
  • Genetics 1.2k
  • Aging 30
  • Computer Networks and Communications 286
Replace Kaifa Wang with:
Kaifa Wang China
Sanling Yuan China
Juhua Liang China
Soovoojeet Jana India
Satoru Morita Japan
Nandadulal Bairagi India
Sze-Bi Hsu Taiwan
Bingtuan Li United States
Mainul Haque relative to Kaifa Wang China Kaifa Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mainul Haque

Since Specialization
Citations

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

Fields of papers citing papers by Mainul Haque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mainul Haque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mainul Haque Line = papers co-authored together Mainul Haque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 2006109
3 2011107
4 200995
5 200691
6 200790
7 201275
8 201674
9 200868
10 201158
11 200945
12 201244
13 201144
14 201144
15 202141
16 201341
17 201841
18 201640
19 201337
20 201336

About Mainul Haque

Mainul Haque is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Computer Networks and Communications, having authored 113 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (35 papers), Evolutionary Game Theory and Cooperation (11 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Respiratory Support and Mechanisms (6 papers), COVID-19 epidemiological studies (6 papers), Oral microbiology and periodontitis research (6 papers) and Insect-Plant Interactions and Control (6 papers). The work is most often cited by research in Modeling and Simulation (594 citations), Public Health, Environmental and Occupational Health (1.5k citations), Genetics (1.2k citations), Aging (30 citations) and Computer Networks and Communications (286 citations). Mainul Haque has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Ezio Venturino, Sahabuddin Sarwardi, Zhen Jin, Prashanta Kumar Mandal, David A. Greenhalgh, Jonathan G. Hardman, Akira Kawai, Bai-Lian Li, Anup Das and David Greenhalgh. Their work appears in journals such as Mathematical Biosciences, Mathematical Methods in the Applied Sciences, Nonlinear Dynamics, Communications in Nonlinear Science and Numerical Simulation and Nonlinear Analysis Real World Applications.

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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