Mansour Alsulaiman

6.3k total citations · 4 hit papers
100 papers, 4.5k citations indexed

About

Mansour Alsulaiman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mansour Alsulaiman has authored 100 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 37 papers in Signal Processing. Recurrent topics in Mansour Alsulaiman's work include Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (31 papers) and Voice and Speech Disorders (21 papers). Mansour Alsulaiman is often cited by papers focused on Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (31 papers) and Voice and Speech Disorders (21 papers). Mansour Alsulaiman collaborates with scholars based in Saudi Arabia, Malaysia and Egypt. Mansour Alsulaiman's co-authors include Ghulam Muhammad, Syed Umar Amin, Hamdi Altaheri, Zulfiqar Ali, Mohamed A. Bencherif, Wadood Abdul, M. Shamim Hossain, Mohamed Amine Mekhtiche, Tamer A. Mesallam and Ahmed Al-nasheri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Mansour Alsulaiman

98 papers receiving 4.3k citations

Hit Papers

Deep Learning for EEG motor imagery classification based ... 2019 2026 2021 2023 2019 2021 2022 2021 100 200 300

Peers

Mansour Alsulaiman
Comparison fields: 5 of 151
  • Cognitive Neuroscience 1.5k
  • Artificial Intelligence 1.4k
  • Signal Processing 1.1k
  • Computer Vision and Pattern Recognition 922
  • Human-Computer Interaction 801
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Citations per field, relative to Mansour Alsulaiman
Mansour Alsulaiman · 1×
Citations per year, relative to Mansour Alsulaiman
Mansour Alsulaiman · 1×

Countries citing papers authored by Mansour Alsulaiman

Since Specialization
Citations

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

Fields of papers citing papers by Mansour Alsulaiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansour Alsulaiman

This figure shows the co-authorship network connecting the top 25 collaborators of Mansour Alsulaiman. A scholar is included among the top collaborators of Mansour Alsulaiman 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 Mansour Alsulaiman. Mansour Alsulaiman 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
# Work Indexed citations
1 1
2 41
3 10
4 18
5
Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification breakdown →
229
6 50
7 88
8 53
9 154
10 80
11 99
12 30
13 4
14 49
15 9
16 7
17
KSU rich Arabic speech database
25
18
Voice intensity based gender classification by using Simpson's rule with SVM
5
19 60
20 45

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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