Faisal Farooq

1.2k total citations
45 papers, 753 citations indexed

About

Faisal Farooq is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Faisal Farooq has authored 45 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Faisal Farooq's work include Handwritten Text Recognition Techniques (8 papers), Natural Language Processing Techniques (7 papers) and Artificial Intelligence in Healthcare (5 papers). Faisal Farooq is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Natural Language Processing Techniques (7 papers) and Artificial Intelligence in Healthcare (5 papers). Faisal Farooq collaborates with scholars based in United States, Qatar and Denmark. Faisal Farooq's co-authors include Venu Govindaraju, Ruud M. Bolle, Nalini Ratha, Glenn Fung, Michael Perrone, Jalal Ahmed, Lihong Zheng, Shipeng Yu, Balaji Krishnapuram and Sergey Tulyakov and has published in prestigious journals such as Neuron, Pattern Recognition and Journal of Medical Internet Research.

In The Last Decade

Faisal Farooq

43 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faisal Farooq United States 14 330 223 202 153 77 45 753
Álvaro Alesanco Spain 18 159 0.5× 153 0.7× 105 0.5× 99 0.6× 304 3.9× 53 889
Matteo Gadaleta United States 13 227 0.7× 132 0.6× 123 0.6× 76 0.5× 146 1.9× 23 968
Ala Saleh Alluhaidan Saudi Arabia 14 87 0.3× 124 0.6× 75 0.4× 80 0.5× 41 0.5× 67 509
Sidra Abbas Pakistan 14 99 0.3× 303 1.4× 82 0.4× 96 0.6× 25 0.3× 29 714
Mobyen Uddin Ahmed Sweden 11 122 0.4× 227 1.0× 71 0.4× 58 0.4× 93 1.2× 41 643
Olcay Kurşun Türkiye 15 173 0.5× 390 1.7× 307 1.5× 23 0.2× 18 0.2× 58 1.2k
Ayman Ibaida Australia 10 207 0.6× 69 0.3× 92 0.5× 54 0.4× 158 2.1× 22 457
Hyun-Soo Choi South Korea 16 87 0.3× 178 0.8× 109 0.5× 31 0.2× 101 1.3× 60 779
Ivan Chorbev North Macedonia 13 205 0.6× 159 0.7× 41 0.2× 72 0.5× 38 0.5× 55 700
Sheikh Nooruddin Bangladesh 13 395 1.2× 221 1.0× 25 0.1× 78 0.5× 21 0.3× 17 866

Countries citing papers authored by Faisal Farooq

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Farooq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faisal Farooq

This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Farooq. A scholar is included among the top collaborators of Faisal 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 Faisal Farooq. Faisal 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
1.
Abd‐Alrazaq, Alaa, Dena Al‐Thani, Faisal Farooq, et al.. (2025). Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows. JMIR Formative Research. 9. e70921–e70921.
2.
3.
4.
Kashem, Abul, et al.. (2024). Metaheuristic-based machine learning approaches of compressive strength forecasting of steel fiber reinforced concrete with SHapley Additive exPlanations. Multiscale and Multidisciplinary Modeling Experiments and Design. 8(1). 2 indexed citations
5.
Ahmed, Arfan, Sarah Aziz, Alaa Abd‐Alrazaq, et al.. (2023). The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review. Journal of Medical Internet Research. 25. e40259–e40259. 23 indexed citations
6.
Ahmed, Arfan, Sarah Aziz, Alaa Abd‐Alrazaq, et al.. (2023). Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan. Studies in health technology and informatics. 305. 291–294. 3 indexed citations
7.
Aziz, Sarah, Arfan Ahmed, Alaa Abd‐Alrazaq, et al.. (2023). Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data. Studies in health technology and informatics. 305. 283–286. 3 indexed citations
8.
Abd‐Alrazaq, Alaa, Rawan AlSaad, Sarah Aziz, et al.. (2022). Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research. 25. e42672–e42672. 50 indexed citations
9.
Farooq, Faisal, et al.. (2022). Single Stage Active Power Factor Correction Circuit for Street LED Light with Battery Backup. Journal of Engineering Research. 2 indexed citations
10.
Ahmed, Arfan, Sarah Aziz, Alaa Abd‐Alrazaq, Faisal Farooq, & Javaid I. Sheikh. (2022). Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review. Journal of Medical Internet Research. 24(8). e36010–e36010. 26 indexed citations
11.
Venugopal, Neethu, et al.. (2022). Analysis of risk factors progression of preterm delivery using electronic health records. BioData Mining. 15(1). 17–17. 3 indexed citations
12.
13.
Farooq, Faisal, Jalal Ahmed, & Lihong Zheng. (2017). Facial expression recognition using hybrid features and self-organizing maps. 409–414. 57 indexed citations
14.
Yu, Shipeng, et al.. (2015). Predicting readmission risk with institution-specific prediction models. Artificial Intelligence in Medicine. 65(2). 89–96. 75 indexed citations
15.
Farooq, Faisal, Shipeng Yu, Vikram Anand, & Balaji Krishnapuram. (2013). Categorizing medications from unstructured clinical notes.. PubMed Central. 1 indexed citations
16.
Yan, Yan, et al.. (2012). Active Learning from Multiple Knowledge Sources. International Conference on Artificial Intelligence and Statistics. 1350–1357. 27 indexed citations
17.
Farooq, Faisal, et al.. (2012). Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients.. AMIA. 2 indexed citations
18.
Farooq, Faisal, et al.. (2012). Robust extraction of P300 using constrained ICA for BCI applications. Medical & Biological Engineering & Computing. 50(3). 231–241. 17 indexed citations
19.
20.
Farooq, Faisal, et al.. (2008). Lexicon Reduction in Handwriting Recognition Using Topic Categorization. 369–375. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Álvaro Alesanco Breakdown of academic impact, for papers by Matteo Gadaleta Breakdown of academic impact, for papers by Ala Saleh Alluhaidan Breakdown of academic impact, for papers by Sidra Abbas Breakdown of academic impact, for papers by Mobyen Uddin Ahmed Breakdown of academic impact, for papers by Olcay Kurşun Breakdown of academic impact, for papers by Ayman Ibaida Breakdown of academic impact, for papers by Hyun-Soo Choi Breakdown of academic impact, for papers by Ivan Chorbev Breakdown of academic impact, for papers by Sheikh Nooruddin
Rankless by CCL
2026