Muhammad Farooq

1.2k total citations
32 papers, 803 citations indexed

About

Muhammad Farooq is a scholar working on Public Health, Environmental and Occupational Health, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Farooq has authored 32 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Farooq's work include Nutritional Studies and Diet (8 papers), Obesity, Physical Activity, Diet (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Muhammad Farooq is often cited by papers focused on Nutritional Studies and Diet (8 papers), Obesity, Physical Activity, Diet (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Muhammad Farooq collaborates with scholars based in United States, Pakistan and Saudi Arabia. Muhammad Farooq's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Farooq

30 papers receiving 785 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Farooq United States 16 346 324 193 123 93 32 803
Juan Manuel Fontana United States 11 270 0.8× 225 0.7× 120 0.6× 118 1.0× 71 0.8× 21 578
Paulo Lopez‐Meyer United States 17 226 0.7× 337 1.0× 252 1.3× 259 2.1× 42 0.5× 32 914
Haik Kalantarian United States 24 194 0.6× 299 0.9× 279 1.4× 83 0.7× 91 1.0× 53 1.5k
Oleksandr Makeyev United States 17 207 0.6× 204 0.6× 150 0.8× 180 1.5× 44 0.5× 62 1.1k
Christos Diou Greece 15 217 0.6× 111 0.3× 199 1.0× 53 0.4× 108 1.2× 80 650
Fahd Albinali United States 13 161 0.5× 81 0.3× 202 1.0× 258 2.1× 26 0.3× 23 760
Yuecheng Li China 13 215 0.6× 112 0.3× 190 1.0× 65 0.5× 20 0.2× 39 667
Sougata Sen United States 13 102 0.3× 141 0.4× 165 0.9× 37 0.3× 31 0.3× 54 602
Chengliu Li United States 10 248 0.7× 164 0.5× 133 0.7× 65 0.5× 23 0.2× 16 724
Yicheng Bai United States 9 209 0.6× 112 0.3× 97 0.5× 51 0.4× 21 0.2× 16 412

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-authorship network of co-authors of Muhammad Farooq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Farooq. A scholar is included among the top collaborators of Muhammad Farooq 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 Muhammad Farooq. Muhammad Farooq 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
2.
Daud, Hanita, et al.. (2024). Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm. Egyptian Informatics Journal. 27. 100504–100504. 19 indexed citations
3.
Hafiz, Rehan, et al.. (2024). Inferior Myocardial Infarction Detection From Lead II of ECG: A Gramian Angular Field-Based 2D-CNN Approach. IEEE Sensors Letters. 8(10). 1–4. 10 indexed citations
4.
Khan, Muhammad Adnan, Muhammad Farooq, Muhammad Saleem, et al.. (2024). Optimizing smart home energy management for sustainability using machine learning techniques. SHILAP Revista de lepidopterología. 5(1). 14 indexed citations
5.
Shahzad, Tariq, Muhammad Saleem, Muhammad Farooq, et al.. (2024). Developing a Transparent Diagnosis Model for Diabetic Retinopathy Using Explainable AI. IEEE Access. 12. 149700–149709. 16 indexed citations
6.
Babar, Mohammad Inayatullah, et al.. (2022). Uplink non-orthogonal multiple access in heterogeneous networks: A review of recent advances and open research challenges. International Journal of Distributed Sensor Networks. 18(10). 3627531388–3627531388. 2 indexed citations
7.
Aslam, Muhammad, et al.. (2021). Factors influencing exclusive breastfeeding duration in Pakistan: a population-based cross-sectional study. BMC Public Health. 21(1). 1998–1998. 11 indexed citations
8.
Farooq, Muhammad, et al.. (2021). FLOSSC: A Computer-Aided Tool for Detecting Corona Virus Infections through Chest X-Ray Images. 13. 1–9. 1 indexed citations
9.
Yang, Xin, Abul Doulah, Muhammad Farooq, et al.. (2019). Statistical models for meal-level estimation of mass and energy intake using features derived from video observation and a chewing sensor. Scientific Reports. 9(1). 45–45. 14 indexed citations
10.
Farooq, Muhammad & Edward Sazonov. (2018). Accelerometer-Based Detection of Food Intake in Free-Living Individuals. IEEE Sensors Journal. 18(9). 3752–3758. 51 indexed citations
11.
Farooq, Muhammad, et al.. (2018). Automation of Blood Cancer Risk Analysis Using Fuzzy Logic. 2(2). 57–63. 1 indexed citations
12.
Doulah, Abul, Muhammad Farooq, Xin Yang, et al.. (2017). Meal Microstructure Characterization from Sensor-Based Food Intake Detection. Frontiers in Nutrition. 4. 31–31. 36 indexed citations
13.
14.
Farooq, Muhammad & Edward Sazonov. (2016). Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor. IEEE Journal of Biomedical and Health Informatics. 21(6). 1495–1503. 41 indexed citations
15.
Farooq, Muhammad & Edward Sazonov. (2016). Automatic Measurement of Chew Count and Chewing Rate during Food Intake. Electronics. 5(4). 62–62. 44 indexed citations
16.
Farooq, Muhammad, Paula Chandler‐Laney, Maria Hernandez‐Reif, & Edward Sazonov. (2015). Monitoring of Infant Feeding Behavior Using a Jaw Motion Sensor. Journal of Healthcare Engineering. 6(1). 23–40. 20 indexed citations
17.
Farooq, Muhammad & Edward Sazonov. (2015). Comparative testing of piezoelectric and printed strain sensors in characterization of chewing. PubMed. 2015. 7538–7541. 23 indexed citations
18.
Farooq, Muhammad, Juan Manuel Fontana, & Edward Sazonov. (2014). A novel approach for food intake detection using electroglottography. Physiological Measurement. 35(5). 739–751. 66 indexed citations
19.
Fontana, Juan Manuel, Muhammad Farooq, & Edward Sazonov. (2014). Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior. IEEE Transactions on Biomedical Engineering. 61(6). 1772–1779. 154 indexed citations
20.
Fontana, Juan Manuel, Muhammad Farooq, & Edward Sazonov. (2013). Estimation of feature importance for food intake detection based on Random Forests classification. 6756–6759. 24 indexed citations

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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