Muhammad Farooq

1.2k citations
32 papers · 803 · h-index 16

Impact in

Papers in

Muhammad Farooq

30 papers receiving 785 citations

Peers

Muhammad Farooq
Comparison fields: 5 of 110
  • Public Health, Environmental and Occupational Health 346
  • Human-Computer Interaction 57
  • Computer Vision and Pattern Recognition 193
  • Complementary and Manual Therapy 20
  • Biomedical Engineering 324
Replace Juan Manuel Fontana with:
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Oleksandr Makeyev United States
Haik Kalantarian United States
Christos Diou Greece
Edison Thomaz United States
Sougata Sen United States
Abdelkareem Bedri United States
Chengliu Li United States
Yuecheng Li China
Muhammad Farooq relative to Juan Manuel Fontana United States Juan Manuel Fontana's profile →
Citations per field
00.5×4.8×
Juan Manuel Fontana · 1×
Citations per year

Countries citing papers authored by Muhammad Farooq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Farooq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014154
2 2016100
3 201466
4 201851
5 201644
6 201641
7 201736
8 201633
9 201932
10 201324
11 201523
12 201323
13 201520
14 202419
15 201717
16 202416
17 202414
18 201914
19 201213
20 201712

About Muhammad Farooq

Muhammad Farooq is a scholar working on Public Health, Environmental and Occupational Health, Biomedical Engineering, Computer Vision and Pattern Recognition, Clinical Psychology and Artificial Intelligence, having authored 32 papers that have together received 803 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (8 papers), Obesity, Physical Activity, Diet (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Eating Disorders and Behaviors (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), COVID-19 diagnosis using AI (2 papers), Infant Nutrition and Health (2 papers) and Sensory Analysis and Statistical Methods (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (346 citations), Human-Computer Interaction (57 citations), Computer Vision and Pattern Recognition (193 citations), Complementary and Manual Therapy (20 citations) and Biomedical Engineering (324 citations). Muhammad Farooq has collaborated with scholars based in United States, Pakistan and Saudi Arabia. Frequent co-authors include Edward Sazonov, Juan Manuel Fontana, Megan A. McCrory, Jason Parton, Janine Higgins, Abul Doulah, Xin Yang, Maria Hernandez‐Reif, Paula Chandler‐Laney and Sagheer Abbas. Their work appears in journals such as Scientific Reports, Electronics, IEEE Journal of Biomedical and Health Informatics, IEEE Access and BMC Public 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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