Mohammed Faisal

2.0k total citations · 1 hit paper
57 papers, 1.4k citations indexed

About

Mohammed Faisal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mohammed Faisal has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Mohammed Faisal's work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (9 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Mohammed Faisal is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (9 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Mohammed Faisal collaborates with scholars based in Saudi Arabia, United States and Kuwait. Mohammed Faisal's co-authors include Mansour Alsulaiman, Mohamed A. Bencherif, Ghulam Muhammad, Wadood Abdul, Syed Umar Amin, Hamdi Altaheri, Ghadir Ali Altuwaijri, Ramdane Hedjar, Jérôme F. La Peyre and Khalid Al-Mutib and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and IEEE Access.

In The Last Decade

Mohammed Faisal

55 papers receiving 1.3k citations

Hit Papers

Deep learning techniques for classification of electroenc... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Faisal Saudi Arabia 17 307 266 261 217 173 57 1.4k
Arunabha M. Roy United States 18 183 0.6× 313 1.2× 179 0.7× 45 0.2× 65 0.4× 32 1.6k
Philippe Giguère Canada 20 151 0.5× 498 1.9× 166 0.6× 107 0.5× 80 0.5× 59 1.6k
Justin Werfel United States 20 194 0.6× 160 0.6× 192 0.7× 46 0.2× 20 0.1× 53 1.7k
Sanjay S. Joshi United States 19 309 1.0× 184 0.7× 57 0.2× 98 0.5× 34 0.2× 86 1.4k
Ralf Möller Germany 22 269 0.9× 638 2.4× 172 0.7× 22 0.1× 63 0.4× 89 1.7k
Keisuke Nakamura Japan 25 335 1.1× 233 0.9× 340 1.3× 130 0.6× 9 0.1× 142 1.9k
Hai Nguyen United States 19 83 0.3× 230 0.9× 128 0.5× 90 0.4× 19 0.1× 41 1.1k
Patrícia A. Vargas United Kingdom 14 106 0.3× 201 0.8× 177 0.7× 31 0.1× 47 0.3× 70 944
Umar Shahbaz Khan Pakistan 20 184 0.6× 146 0.5× 70 0.3× 57 0.3× 64 0.4× 93 1.0k

Countries citing papers authored by Mohammed Faisal

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Faisal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Faisal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Faisal. A scholar is included among the top collaborators of Mohammed Faisal 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 Mohammed Faisal. Mohammed Faisal 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.
Faisal, Mohammed, et al.. (2024). Insights on future employment and required technical skills pertaining with Oman. International Journal of Engineering Systems Modelling and Simulation. 15(2). 84–89. 1 indexed citations
2.
Faisal, Mohammed, Mansour Alsulaiman, Mohamed Amine Mekhtiche, et al.. (2023). Enabling Two-Way Communication of Deaf Using Saudi Sign Language. IEEE Access. 11. 135423–135434. 10 indexed citations
4.
Alsulaiman, Mansour, Mohammed Faisal, Mohamed Amine Mekhtiche, et al.. (2023). Facilitating the communication with deaf people: Building a largest Saudi sign language dataset. Journal of King Saud University - Computer and Information Sciences. 35(8). 101642–101642. 19 indexed citations
5.
Abdou, Sherif, et al.. (2022). Semantic textual similarity for modern standard and dialectal Arabic using transfer learning. PLoS ONE. 17(8). e0272991–e0272991. 6 indexed citations
6.
Bencherif, Mohamed A., Mohammed Algabri, Mohamed Amine Mekhtiche, et al.. (2021). Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data. IEEE Access. 9. 59612–59627. 50 indexed citations
7.
ElGibreen, Hebah, Mohammed Faisal, Sherif Abdou, et al.. (2021). An Incremental Approach to Corpus Design and Construction: Application to a Large Contemporary Saudi Corpus. IEEE Access. 9. 88405–88428. 5 indexed citations
8.
Al‐Qurishi, Muhammad, et al.. (2021). A Time-Series-Based New Behavior Trace Model for Crowd Workers That Ensures Quality Annotation. Sensors. 21(15). 5007–5007. 3 indexed citations
9.
Faisal, Mohammed, et al.. (2019). Prototype of the Monitoring System and Prevention of River Water Pollution Based on Android. IOP Conference Series Materials Science and Engineering. 462. 12028–12028. 3 indexed citations
10.
Faisal, Mohammed, Hassan Mathkour, & Mansour Alsulaiman. (2018). I3MS: Intelligent Multi-Sensor Multi-Baseline Mapping System. IEEE Access. 6. 4243–4254. 3 indexed citations
11.
Faisal, Mohammed, et al.. (2017). Development of a polarimetric & interferometric GB-SAR and perform measurement for a fixed target. iii. 285–289. 2 indexed citations
12.
Faisal, Mohammed, et al.. (2016). An autonomous stereovision-based navigation system (ASNS) for mobile robots. Intelligent Service Robotics. 9(3). 187–205. 11 indexed citations
13.
Al-Mutib, Khalid, et al.. (2016). Obstacle avoidance using wall-following strategy for indoor mobile robots. 1–6. 8 indexed citations
14.
Faisal, Mohammed, Hassan Mathkour, & Mansour Alsulaiman. (2015). Smart mobile robot for security of low visibility environment. 1–6. 4 indexed citations
15.
Faisal, Mohammed, et al.. (2014). Robot localization using extended kalman filter with infrared sensor. 356–360. 7 indexed citations
16.
Ordás, M. Camino, et al.. (2001). Proteolytic activity of cultured Pseudoperkinsus tapetis extracellular products. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 130(2). 199–206. 8 indexed citations
17.
Ibrahim, Ehab, et al.. (2000). Analysis of extracellular proteins of two Perkinsus spp. isolated from the softshell clam Mya arenaria in vitro. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 126(4). 587–598. 8 indexed citations
18.
Lewis, Teresa D., et al.. (1999). Analysis of the Effects of Perkinsus marinus Proteases on Plasma Proteins of the Eastern Oyster (Crassostrea virginica) and the Pacific Oyster (Crassostrea gigas). Journal of Invertebrate Pathology. 74(2). 173–183. 30 indexed citations
19.
Peyre, Jérôme F. La & Mohammed Faisal. (1995). Perkinsus marinus produces extracellular proteolytic factor(s) in vitro. Bulletin of the European Association of Fish Pathologists. 15(1). 28–31. 15 indexed citations
20.
Peyre, Jérôme F. La, et al.. (1995). Production of Serine Proteases by the Oyster Pathogen Perkinsus marinus (Apicomplexa) In Vitro. Journal of Eukaryotic Microbiology. 42(5). 544–551. 61 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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