Nahal Norouzi
- Human-Computer Interaction top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 5%
- Cognitive Neuroscience
- Artificial Intelligence
- Co-authors
- Gerd BruderGreg WelchKangsoo KimMyungho LeeAustin EricksonTobias LanglotzAlexander PlopskiTeresa Hirzle
- Topics
- Virtual Reality Applications and Impacts (20 papers)Augmented Reality Applications (11 papers)Social Robot Interaction and HRI (10 papers)
- Journals
- ACM Computing SurveysFrontiers in PsychologyIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Nahal Norouzi
30 papers receiving 622 citations
Peers
Comparison fields: 5 of 82
- Human-Computer Interaction 423
- Computer Vision and Pattern Recognition 259
- Social Psychology 188
- Cognitive Neuroscience 103
- Artificial Intelligence 86
Countries citing papers authored by Nahal Norouzi
This map shows the geographic impact of Nahal Norouzi'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 Nahal Norouzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahal Norouzi more than expected).
Fields of papers citing papers by Nahal Norouzi
This network shows the impact of papers produced by Nahal Norouzi. 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 Nahal Norouzi. The network helps show where Nahal Norouzi may publish in the future.
Co-authorship network of co-authors of Nahal Norouzi
This figure shows the co-authorship network connecting the top 25 collaborators of Nahal Norouzi. A scholar is included among the top collaborators of Nahal Norouzi 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 Nahal Norouzi. Nahal Norouzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | 105 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 25 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 27 | |
| 16 | 36 | |
| 17 | 45 | |
| 18 | 16 | |
| 19 | 20 | |
| 20 | 35 |
About Nahal Norouzi
Nahal Norouzi is a scholar working on Human-Computer Interaction, Social Psychology and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 641 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (20 papers), Augmented Reality Applications (11 papers) and Social Robot Interaction and HRI (10 papers). The work is most often cited by research in Human-Computer Interaction (423 citations), Computer Vision and Pattern Recognition (259 citations) and Social Psychology (188 citations). Nahal Norouzi has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Gerd Bruder, Greg Welch, Kangsoo Kim, Myungho Lee, Austin Erickson, Tobias Langlotz, Alexander Plopski, Teresa Hirzle, Long Qian and Pamela Wiśniewski. Their work appears in journals such as ACM Computing Surveys, Frontiers in Psychology and IEEE Transactions on Visualization and Computer Graphics.
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.