Amin Atrash

894 citations
19 papers · 390 indexed · h-index 10
Topics
Social Robot Interaction and HRI (12 papers)Gaze Tracking and Assistive Technology (4 papers)Reinforcement Learning in Robotics (3 papers)
Partner nations
United StatesCanada

In The Last Decade

Amin Atrash

19 papers receiving 358 citations

Peers

Amin Atrash
Comparison fields: 5 of 62
  • Human-Computer Interaction 172
  • Social Psychology 121
  • Artificial Intelligence 116
  • Cognitive Neuroscience 108
  • Computer Vision and Pattern Recognition 106
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Citations per field
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Citations per year

Countries citing papers authored by Amin Atrash

Since Specialization
Citations

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

Fields of papers citing papers by Amin Atrash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Atrash

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2
Building Blocks of Social Intelligence: Enabling Autonomy for Socially Intelligent and Assistive Robots
3
3 59
4 49
5 54
6
Representations of Proxemic Behavior for Human-Machine Interaction
4
7
Speech, Gesture, and Space: Investigating Explicit and Implicit Communication in Multi-Human Multi-Robot Collaborations
4
8
Recognition of Physiological Data for a Motivational Agent
1
9
Automated Analysis of Proxemic Behavior: Leveraging Metrics from the Social Sciences
4
10 14
11
A bayesian framework for online parameter learning in pomdps
2
12 7
13 4
14
A Bayesian Method for Learning POMDP Observation Parameters for Robot Interaction Management Systems
10
15 17
16 27
17
SmartWheeler: A Robotic Wheelchair Test-Bed for Investigating New Models of Human-Robot Interaction.
33
18 22
19 72

About Amin Atrash

Amin Atrash is a scholar working on Human-Computer Interaction, Social Psychology and Occupational Therapy, having authored 19 papers that have together received 390 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (12 papers), Gaze Tracking and Assistive Technology (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Human-Computer Interaction (172 citations), Occupational Therapy (53 citations) and Social Psychology (121 citations). Amin Atrash has collaborated with scholars based in United States and Canada. Frequent co-authors include Joëlle Pineau, Maja J. Matarić, Ross Mead, Tracy Westeyn, Thad Starner, Helene Brashear, Robert West, François Routhier, Sousso Kélouwani and Louise Demers. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, International Journal of Social Robotics and National Conference on Artificial Intelligence.

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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