Behnaz Nojavanasghari
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Signal Processing
- Co-authors
- Louis–Philippe MorencyTadas BaltrušaitisJayanth KoushikDeepak GopinathCharles E. HughesShih‐Fu ChangDong LiuSubhabrata Bhattacharya
- Topics
- Emotion and Mood Recognition (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)Assistive Technology in Communication and Mobility (1 paper)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Journal of International Crisis and Risk Communication Research
- Partner nations
- United States
In The Last Decade
Behnaz Nojavanasghari
5 papers receiving 272 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 108
- Experimental and Cognitive Psychology 105
- Cognitive Neuroscience 45
- Signal Processing 33
Countries citing papers authored by Behnaz Nojavanasghari
This map shows the geographic impact of Behnaz Nojavanasghari'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 Behnaz Nojavanasghari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behnaz Nojavanasghari more than expected).
Fields of papers citing papers by Behnaz Nojavanasghari
This network shows the impact of papers produced by Behnaz Nojavanasghari. 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 Behnaz Nojavanasghari. The network helps show where Behnaz Nojavanasghari may publish in the future.
Co-authorship network of co-authors of Behnaz Nojavanasghari
This figure shows the co-authorship network connecting the top 25 collaborators of Behnaz Nojavanasghari. A scholar is included among the top collaborators of Behnaz Nojavanasghari 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 Behnaz Nojavanasghari. Behnaz Nojavanasghari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 8 | |
| 3 | 66 | |
| 4 | 154 | |
| 5 | 37 |
About Behnaz Nojavanasghari
Behnaz Nojavanasghari is a scholar working on Occupational Therapy, Experimental and Cognitive Psychology and Pharmacy, having authored 5 papers that have together received 285 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Assistive Technology in Communication and Mobility (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (105 citations), Computer Vision and Pattern Recognition (108 citations) and Artificial Intelligence (134 citations). Behnaz Nojavanasghari has collaborated with scholars based in United States. Frequent co-authors include Louis–Philippe Morency, Tadas Baltrušaitis, Jayanth Koushik, Deepak Gopinath, Charles E. Hughes, Shih‐Fu Chang, Dong Liu, Subhabrata Bhattacharya, Tao Chen and Mubarak Shah. Their work appears in journals such as Journal of International Crisis and Risk Communication Research.
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.