Rami Alazrai

1.2k citations
59 papers · 853 indexed · h-index 18
Topics
EEG and Brain-Computer Interfaces (16 papers)AI in cancer detection (10 papers)Indoor and Outdoor Localization Technologies (8 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Rami Alazrai

55 papers receiving 830 citations

Peers

Rami Alazrai
Comparison fields: 5 of 87
  • Cognitive Neuroscience 305
  • Computer Vision and Pattern Recognition 260
  • Electrical and Electronic Engineering 216
  • Artificial Intelligence 205
  • Biomedical Engineering 189
Replace Mohammad I. Daoud with:
Mohammad I. Daoud Jordan
Tohid Yousefi Rezaii Iran
Abhay Upadhyay India
Mahboobeh Jafari Australia
Kyoobin Lee South Korea
Temel Kayıkçıoğlu Türkiye
Marjane Khodatars Iran
Yuliang Ma China
Keivan Maghooli Iran
Chongxun Zheng China
Rami Alazrai relative to Mohammad I. Daoud Jordan Mohammad I. Daoud's profile →
Citations per field
00.5×1.5×
Mohammad I. Daoud · 1×
Citations per year

Countries citing papers authored by Rami Alazrai

Since Specialization
Citations

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

Fields of papers citing papers by Rami Alazrai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rami Alazrai

This figure shows the co-authorship network connecting the top 25 collaborators of Rami Alazrai. A scholar is included among the top collaborators of Rami Alazrai 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 Alazrai. Rami Alazrai 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
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EEG-based BCI system for classifying motor imagery tasks of the same hand using empirical mode decomposition
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About Rami Alazrai

Rami Alazrai is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 59 papers that have together received 853 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), AI in cancer detection (10 papers) and Indoor and Outdoor Localization Technologies (8 papers). The work is most often cited by research in Cognitive Neuroscience (305 citations), Human-Computer Interaction (75 citations) and Computer Vision and Pattern Recognition (260 citations). Rami Alazrai has collaborated with scholars based in Jordan, Germany and United States. Frequent co-authors include Mohammad I. Daoud, Hisham Alwanni, Mostafa Z. Ali, Mohammad Momani, C. S. George Lee, Falah Awwad, Ali Ismail Awad, Sahel Alouneh, Ponnuthurai Nagaratnam Suganthan and Heba Abdel-Nabi. 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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