Yehya Abouelnaga

493 citations
3 papers · 280 indexed · 1 hit paper · h-index 3
Topics
Advanced Image and Video Retrieval Techniques (1 paper)Tactile and Sensory Interactions (1 paper)Human-Automation Interaction and Safety (1 paper)
Journals
Journal of Advanced Transportation2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Partner nations
EgyptGermany

In The Last Decade

Yehya Abouelnaga

3 papers receiving 270 citations

Hit Papers

Driver Distraction Identification with an Ensemble of Con...2019202620212023201950100150200

Peers

Yehya Abouelnaga
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 110
  • Automotive Engineering 99
  • Social Psychology 74
  • Artificial Intelligence 71
  • Experimental and Cognitive Psychology 50
Replace Hesham M. Eraqi with:
Hesham M. Eraqi Egypt
Duy Tran United States
Thomas H. Weisswange Germany
Jack Terwilliger United States
Monica Haurilet Germany
Tanmay Randhavane United States
Imen Jegham Tunisia
Christoph Blaschke Germany
Wang Rong-ben China
Mahwish Ilyas Pakistan
Yehya Abouelnaga relative to Hesham M. Eraqi Egypt Hesham M. Eraqi's profile →
Citations per field
00.5×1.5×
Hesham M. Eraqi · 1×
Citations per year

Countries citing papers authored by Yehya Abouelnaga

Since Specialization
Citations

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

Fields of papers citing papers by Yehya Abouelnaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yehya Abouelnaga

This figure shows the co-authorship network connecting the top 25 collaborators of Yehya Abouelnaga. A scholar is included among the top collaborators of Yehya Abouelnaga 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 Yehya Abouelnaga. Yehya Abouelnaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 5
2
Driver Distraction Identification with an Ensemble of Convolutional Neural Networksbreakdown →
220
3 55

About Yehya Abouelnaga

Yehya Abouelnaga is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 3 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Tactile and Sensory Interactions (1 paper) and Human-Automation Interaction and Safety (1 paper). The work is most often cited by research in Automotive Engineering (99 citations), Human-Computer Interaction (36 citations) and Computer Vision and Pattern Recognition (110 citations). Yehya Abouelnaga has collaborated with scholars based in Egypt and Germany. Frequent co-authors include Mohamed Moustafa, Hesham M. Eraqi and Slobodan Ilić. Their work appears in journals such as Journal of Advanced Transportation and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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