Mohd Faisal Ibrahim

95 total papers · 1.0k total citations
60 papers, 703 citations indexed

About

Mohd Faisal Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Mohd Faisal Ibrahim has authored 60 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Mohd Faisal Ibrahim's work include Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (6 papers) and Advanced Fiber Optic Sensors (5 papers). Mohd Faisal Ibrahim is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (6 papers) and Advanced Fiber Optic Sensors (5 papers). Mohd Faisal Ibrahim collaborates with scholars based in Malaysia, Iraq and Libya. Mohd Faisal Ibrahim's co-authors include Rizauddin Ramli, Mohammad Soleimani Amiri, Aqilah Baseri Huddin, Fazida Hanim Hashim, Thinal Raj, Aini Hussain, Marzuki Khalid, Rubiyah Yusof, Dzuraidah Abd Wahab and Ashrani Aizzuddin Abd. Rahni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohd Faisal Ibrahim

54 papers receiving 666 citations

Hit Papers

A Survey on LiDAR Scannin... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohd Faisal Ibrahim 168 139 120 120 79 60 703
Xiang Chen 81 0.5× 23 0.2× 33 0.3× 218 1.8× 42 0.5× 62 794
Sun’an Wang 165 1.0× 205 1.5× 247 2.1× 167 1.4× 18 0.2× 103 795
Jie Bai 87 0.5× 172 1.2× 97 0.8× 138 1.1× 4 0.1× 94 720
Yuxuan Liu 114 0.7× 31 0.2× 64 0.5× 249 2.1× 24 0.3× 39 784
Vítor Santos 107 0.6× 42 0.3× 195 1.6× 377 3.1× 5 0.1× 81 742
Piotr Skrzypczyński 304 1.8× 147 1.1× 169 1.4× 425 3.5× 4 0.1× 99 880
Yan Huang 371 2.2× 184 1.3× 70 0.6× 57 0.5× 31 0.4× 53 663
Ivan Marković 50 0.3× 128 0.9× 94 0.8× 330 2.8× 4 0.1× 60 794
Lei Sun 69 0.4× 101 0.7× 36 0.3× 355 3.0× 9 0.1× 65 660
Weimin Li 315 1.9× 163 1.2× 450 3.8× 35 0.3× 8 0.1× 78 905

Countries citing papers authored by Mohd Faisal Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Faisal Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Faisal Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Faisal Ibrahim. A scholar is included among the top collaborators of Mohd Faisal Ibrahim 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 Mohd Faisal Ibrahim. Mohd Faisal Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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