Samer Al Kork

853 citations
45 papers · 445 indexed · h-index 13
Topics
EEG and Brain-Computer Interfaces (14 papers)Music and Audio Processing (7 papers)Emotion and Mood Recognition (6 papers)
Partner nations
KuwaitFranceEgypt

In The Last Decade

Samer Al Kork

42 papers receiving 413 citations

Peers

Samer Al Kork
Comparison fields: 5 of 82
  • Cognitive Neuroscience 146
  • Biomedical Engineering 130
  • Human-Computer Interaction 98
  • Computer Vision and Pattern Recognition 94
  • Control and Systems Engineering 72
Replace Taha Beyrouthy with:
Taha Beyrouthy Kuwait
Laura Trutoiu United States
Shahrul Na’im Sidek Malaysia
Jiaxin Ma China
Lie Yang China
Wolfgang Müeller-Wittig Singapore
Omid Dehzangi United States
Abhinandan Jain United States
Dennis Majoe Switzerland
Che‐Jui Chang Taiwan
Samer Al Kork relative to Taha Beyrouthy Kuwait Taha Beyrouthy's profile →
Citations per field
00.5×2.8×
Taha Beyrouthy · 1×
Citations per year

Countries citing papers authored by Samer Al Kork

Since Specialization
Citations

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

Fields of papers citing papers by Samer Al Kork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samer Al Kork. 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 Samer Al Kork. The network helps show where Samer Al Kork may publish in the future.

Co-authorship network of co-authors of Samer Al Kork

This figure shows the co-authorship network connecting the top 25 collaborators of Samer Al Kork. A scholar is included among the top collaborators of Samer Al Kork 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 Samer Al Kork. Samer Al Kork 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
#WorkIndexed citations
1 11
2 9
3 0
4 2
5 5
6 5
7 10
8 18
9 31
10 17
11 12
12 4
13 10
14 19
15 19
16 30
17 2
18
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
1
19 4
20 2

About Samer Al Kork

Samer Al Kork is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 45 papers that have together received 445 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Music and Audio Processing (7 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Human-Computer Interaction (98 citations), Cognitive Neuroscience (146 citations) and Experimental and Cognitive Psychology (66 citations). Samer Al Kork has collaborated with scholars based in Kuwait, France and Egypt. Frequent co-authors include Taha Beyrouthy, Sherif Said, Abdullah S. Karar, Amine Naït‐Ali, A. Naït-Ali, Ilyes Boulkaibet, Xavier Savatier, Dina Fitria Murad, Suha AlAwadhi and Karim H. Youssef. Their work appears in journals such as IEEE Access, Sensors and Applied Sciences.

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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