Aidean Sharghi
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Biomedical Engineering
- Sociology and Political Science
- Media Technology
- Co-authors
- David CrandallMingze XuXin ChenZiyan WuSrikrishna KaranamAli BorjiNicolas PadoyAlexandros Karargyris
- Topics
- Gait Recognition and Analysis (1 paper)Leaf Properties and Growth Measurement (1 paper)Video Analysis and Summarization (1 paper)
- Journals
- International Journal of Computer Assisted Radiology and SurgeryJournal of Agricultural Science and TechnologyarXiv (Cornell University)
- Partner nations
- United StatesFranceIran
In The Last Decade
Aidean Sharghi
4 papers receiving 29 citations
Peers
Comparison fields: 5 of 18
- Computer Vision and Pattern Recognition 24
- Artificial Intelligence 14
- Biomedical Engineering 7
- Sociology and Political Science 2
- Media Technology 2
Countries citing papers authored by Aidean Sharghi
This map shows the geographic impact of Aidean Sharghi'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 Aidean Sharghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aidean Sharghi more than expected).
Fields of papers citing papers by Aidean Sharghi
This network shows the impact of papers produced by Aidean Sharghi. 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 Aidean Sharghi. The network helps show where Aidean Sharghi may publish in the future.
Co-authorship network of co-authors of Aidean Sharghi
This figure shows the co-authorship network connecting the top 25 collaborators of Aidean Sharghi. A scholar is included among the top collaborators of Aidean Sharghi 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 Aidean Sharghi. Aidean Sharghi 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 | Multi-View Egocentric Video Summarization | 3 |
| 3 | Predicting Spatial Distribution of Redroot Pigweed (Amaranthus retroflexus L.) using the RBF Neural Network Model | 2 |
| 4 | 24 |
About Aidean Sharghi
Aidean Sharghi is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Signal Processing, having authored 4 papers that have together received 30 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (1 paper), Leaf Properties and Growth Measurement (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (24 citations), Artificial Intelligence (14 citations) and Human-Computer Interaction (2 citations). Aidean Sharghi has collaborated with scholars based in United States, France and Iran. Frequent co-authors include David Crandall, Mingze Xu, Xin Chen, Ziyan Wu, Srikrishna Karanam, Ali Borji, Nicolas Padoy, Alexandros Karargyris, Abbas Rohani and Hassan Makarian. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Journal of Agricultural Science and Technology and arXiv (Cornell University).
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.