Rami N. Khushaba

4.6k citations
86 papers · 3.4k indexed · h-index 24
Topics
Muscle activation and electromyography studies (56 papers)EEG and Brain-Computer Interfaces (55 papers)Neuroscience and Neural Engineering (31 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Rami N. Khushaba

78 papers receiving 3.3k citations

Peers

Rami N. Khushaba
Comparison fields: 5 of 138
  • Biomedical Engineering 2.1k
  • Cognitive Neuroscience 1.9k
  • Cellular and Molecular Neuroscience 830
  • Human-Computer Interaction 629
  • Experimental and Cognitive Psychology 408
Replace Sarath Kodagoda with:
Sarath Kodagoda Australia
Ricardo Chavarriaga Switzerland
Pietro Aricò Italy
Teodiano Bastos-Filho Brazil
Angkoon Phinyomark Canada
Noman Naseer Pakistan
A. Terry Bahill United States
Chang S. Nam United States
Ganesh R. Naik Australia
Rami N. Khushaba relative to Sarath Kodagoda Australia Sarath Kodagoda's profile →
Citations per field
00.5×1.5×2.3×
Sarath Kodagoda · 1×
Citations per year

Countries citing papers authored by Rami N. Khushaba

Since Specialization
Citations

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

Fields of papers citing papers by Rami N. Khushaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rami N. Khushaba. 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 Rami N. Khushaba. The network helps show where Rami N. Khushaba may publish in the future.

Co-authorship network of co-authors of Rami N. Khushaba

This figure shows the co-authorship network connecting the top 25 collaborators of Rami N. Khushaba. A scholar is included among the top collaborators of Rami N. Khushaba 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 Rami N. Khushaba. Rami N. Khushaba 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 0
2 0
3 0
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5 13
6 1
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8 5
9 17
10 18
11 36
12 11
13 158
14 54
15 332
16 1
17 87
18 4
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Enhanced feature selection algorithm using Ant Colony Optimization and fuzzy memberships
3
20 4

About Rami N. Khushaba

Rami N. Khushaba is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (56 papers), EEG and Brain-Computer Interfaces (55 papers) and Neuroscience and Neural Engineering (31 papers). The work is most often cited by research in Human-Computer Interaction (629 citations), Cognitive Neuroscience (1.9k citations) and Biomedical Engineering (2.1k citations). Rami N. Khushaba has collaborated with scholars based in Australia, Iraq and United Kingdom. Frequent co-authors include Sarath Kodagoda, Adel Al-Jumaily, Gamini Dissanayake, Ahmed Al-Ani, Ali H. Al‐Timemy, Lal S, Erik Scheme, Maen Takruri, Angkoon Phinyomark and Kianoush Nazarpour. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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