Mohammad S. Islam

91 papers receiving 2.8k citations

Mohammad S. Islam's Hit Papers

MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification 2023 · 107 citations
1070+3+6Years since publication250500750

Peers

Mohammad S. Islam
Comparison fields: 5 of 156
  • Health, Toxicology and Mutagenesis 659
  • Atmospheric Science 591
  • Pulmonary and Respiratory Medicine 603
  • Pollution 227
  • Environmental Engineering 257
Replace Gurumurthy Ramachandran with:
Gurumurthy Ramachandran United States
Arantza Eiguren-Fernández United States
Tao Niu China
Yifan Zhang China
Steven N. Rogak Canada
Richard B. Schlesinger United States
Akira Kondo Japan
Qingyang Liu China
Ta-Chih Hsiao Taiwan
Yan Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad S. Islam

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad S. Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad S. Islam. 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 Mohammad S. Islam. The network helps show where Mohammad S. Islam may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad S. Islam, 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 Mohammad S. Islam Line = papers co-authored together Mohammad S. Islam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of biomass burning: Emissions and impacts on air quality, health and climate in China
Hit paper breakdown →
2016951
2 2008152
3
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification
Hit paper breakdown →
2023107
4 2017100
5 202083
6 202271
7 202258
8 202057
9 201946
10 202245
11 202339
12 202239
13 200938
14 201938
15 202138
16 202136
17 201735
18 202135
19 202134
20 202333

About Mohammad S. Islam

Mohammad S. Islam is a scholar working on Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Mechanical Engineering, Ocean Engineering and Biomedical Engineering, having authored 94 papers that have together received 2.9k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (38 papers), Aerosol Filtration and Electrostatic Precipitation (31 papers), Particle Dynamics in Fluid Flows (18 papers), Nanofluid Flow and Heat Transfer (16 papers), Heat Transfer and Optimization (14 papers), Phase Change Materials Research (11 papers), Heat Transfer Mechanisms (10 papers) and Air Quality and Health Impacts (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (659 citations), Atmospheric Science (591 citations), Pulmonary and Respiratory Medicine (603 citations), Pollution (227 citations) and Environmental Engineering (257 citations). Mohammad S. Islam has collaborated with scholars based in Australia, Bangladesh and Iran. Frequent co-authors include Suvash C. Saha, Yuantong Gu, Emilie Sauret, Zoran Ristovski, Gunther Paul, Jiming Hao, Hongbo Fu, U.C. Dumka, Tevfik Gemci and Lídia Morawska. Their work appears in journals such as International Journal of Environmental Research and Public Health, Physics of Fluids, Energies, Journal of Energy Storage and Atmosphere.

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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