Mohamed E. H. Eltaib
- Biomedical Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- J.R. HewitIbrahem MaherAhmed A. D. SarhanOsamu TabataAhmed M. R. Fath El‐BabMohamed Mohamed Mohamed SallamKoji SuganoToshiyuki Tsuchiya
- Topics
- Advanced Sensor and Energy Harvesting Materials (6 papers)Advanced machining processes and optimization (4 papers)Muscle activation and electromyography studies (4 papers)
- Journals
- IEEE AccessSAE technical papers on CD-ROM/SAE technical paper seriesThe International Journal of Advanced Manufacturing Technology
- Partner nations
- EgyptSaudi ArabiaJapan
In The Last Decade
Mohamed E. H. Eltaib
13 papers receiving 354 citations
Peers
Comparison fields: 5 of 51
- Biomedical Engineering 250
- Electrical and Electronic Engineering 125
- Mechanical Engineering 124
- Cognitive Neuroscience 104
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Mohamed E. H. Eltaib
This map shows the geographic impact of Mohamed E. H. Eltaib'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 Mohamed E. H. Eltaib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed E. H. Eltaib more than expected).
Fields of papers citing papers by Mohamed E. H. Eltaib
This network shows the impact of papers produced by Mohamed E. H. Eltaib. 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 Mohamed E. H. Eltaib. The network helps show where Mohamed E. H. Eltaib may publish in the future.
Co-authorship network of co-authors of Mohamed E. H. Eltaib
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed E. H. Eltaib. A scholar is included among the top collaborators of Mohamed E. H. Eltaib 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 Mohamed E. H. Eltaib. Mohamed E. H. Eltaib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 54 | |
| 6 | 43 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | Tactile sensor for compliance detection | 8 |
| 14 | 179 | |
| 15 | 4 |
About Mohamed E. H. Eltaib
Mohamed E. H. Eltaib is a scholar working on Industrial and Manufacturing Engineering, Human-Computer Interaction and Biomedical Engineering, having authored 15 papers that have together received 366 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Advanced machining processes and optimization (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Biomedical Engineering (250 citations), Cognitive Neuroscience (104 citations) and Human-Computer Interaction (19 citations). Mohamed E. H. Eltaib has collaborated with scholars based in Egypt, Saudi Arabia and Japan. Frequent co-authors include J.R. Hewit, Ibrahem Maher, Ahmed A. D. Sarhan, Osamu Tabata, Ahmed M. R. Fath El‐Bab, Mohamed Mohamed Mohamed Sallam, Koji Sugano, Toshiyuki Tsuchiya, H.A. Mohamed and Mohamed Egiza. Their work appears in journals such as IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series and The International Journal of Advanced Manufacturing Technology.
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.