Faisal Muhammad

49 papers receiving 343 citations

Peers

Faisal Muhammad
Comparison fields: 5 of 118
  • Human Factors and Ergonomics 21
  • Organizational Behavior and Human Resource Management 61
  • Statistics, Probability and Uncertainty 31
  • Statistics and Probability 23
  • Modeling and Simulation 11
Replace Mehdi Raadabadi with:
Mehdi Raadabadi Iran
Muhammad Qasim Pakistan
Renan Moritz Varnier Rodrigues de Almeida Brazil
Nan Jiang United States
Seung Eun Lee South Korea
Takayuki Kawashima Japan
Cheryl Bagley Thompson United States
Naser Hoboubi Iran
Nasreen Jessani United States
Faisal Muhammad relative to Mehdi Raadabadi Iran Mehdi Raadabadi's profile →
Citations per field
00.5×5.5×
Mehdi Raadabadi · 1×
Citations per year

Countries citing papers authored by Faisal Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201745
3 201836
4 202122
5 201720
6 202117
7 201812
8 202011
9 201710
10 20209
11 20138
12 20188
13 20186
14 20206
15 20186
16 20205
17
Prevalence of hepatitis B and hepatitis C Virus infections among male to female (MFT) transgenders in Rawalpindi (Pakistan)
20184
18 20234
19 20204
20 20164

About Faisal Muhammad

Faisal Muhammad is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Economics and Econometrics, having authored 67 papers that have together received 379 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 Pandemic Impacts (4 papers), Hepatitis C virus research (3 papers), Dental Health and Care Utilization (3 papers), Global Public Health Policies and Epidemiology (3 papers), Healthcare Systems and Reforms (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Human Factors and Ergonomics (21 citations), Organizational Behavior and Human Resource Management (61 citations), Statistics, Probability and Uncertainty (31 citations), Statistics and Probability (23 citations) and Modeling and Simulation (11 citations). Faisal Muhammad has collaborated with scholars based in Bangladesh, Nigeria and Pakistan. Frequent co-authors include Dahyar Daraba, Rudi Salam, Hillman Wirawan, Tahir Mahmood, Nasir Abbas, Muhammad Riaz, Arman Syah Putra, Muhammad Amjad, Amit Saha and Varsha Moudgal. Their work appears in journals such as Quality and Reliability Engineering International, PLoS ONE, Women s Health, Journal of Community Health and BMC Women s Health.

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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