Abolfazl Zaraki
- Biomedical Engineering
- Mechanical Engineering
- Social Psychology top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Co-authors
- Danilo De RossiKerstin DautenhahnLuke WoodBen RobinsMohammad GhalambazAli J. ChamkhaDaniele MazzeiManuel Giuliani
- Topics
- Autism Spectrum Disorder Research (10 papers)Social Robot Interaction and HRI (9 papers)Face Recognition and Perception (3 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Abolfazl Zaraki
25 papers receiving 536 citations
Peers
Comparison fields: 5 of 76
- Biomedical Engineering 178
- Mechanical Engineering 156
- Social Psychology 153
- Cognitive Neuroscience 149
- Artificial Intelligence 84
Countries citing papers authored by Abolfazl Zaraki
This map shows the geographic impact of Abolfazl Zaraki'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 Abolfazl Zaraki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abolfazl Zaraki more than expected).
Fields of papers citing papers by Abolfazl Zaraki
This network shows the impact of papers produced by Abolfazl Zaraki. 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 Abolfazl Zaraki. The network helps show where Abolfazl Zaraki may publish in the future.
Co-authorship network of co-authors of Abolfazl Zaraki
This figure shows the co-authorship network connecting the top 25 collaborators of Abolfazl Zaraki. A scholar is included among the top collaborators of Abolfazl Zaraki 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 Abolfazl Zaraki. Abolfazl Zaraki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 97 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | A novel paradigm for children as teachers to the Kaspar robot learner | 1 |
| 13 | 23 | |
| 14 | Toward Autonomous Child-Robot Interaction: Development of an Interactive Architecture for the Humanoid Kaspar Robot | 4 |
| 15 | 25 | |
| 16 | 169 | |
| 17 | 5 | |
| 18 | 56 | |
| 19 | 7 | |
| 20 | 23 |
About Abolfazl Zaraki
Abolfazl Zaraki is a scholar working on Cognitive Neuroscience, Social Psychology and Occupational Therapy, having authored 25 papers that have together received 558 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (10 papers), Social Robot Interaction and HRI (9 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Occupational Therapy (49 citations), Human-Computer Interaction (58 citations) and Cognitive Neuroscience (149 citations). Abolfazl Zaraki has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Danilo De Rossi, Kerstin Dautenhahn, Luke Wood, Ben Robins, Mohammad Ghalambaz, Ali J. Chamkha, Daniele Mazzei, Manuel Giuliani, Mohd Fauzi Othman and Gabriella Lakatos. Their work appears in journals such as Sensors, Applied Soft Computing and Advanced Powder 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.