Yalda Ghasemi
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Social Psychology
- Co-authors
- Heejin JeongJae Yeol LeeKyeong-Beom ParkSung Ho ChoiMyunghee KimAndrew JohnsonJoel ReynoldsChang S. Nam
- Topics
- Virtual Reality Applications and Impacts (10 papers)Augmented Reality Applications (8 papers)Gaze Tracking and Assistive Technology (4 papers)
- Cited by
- Human-Computer InteractionIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesSouth Korea
In The Last Decade
Yalda Ghasemi
15 papers receiving 398 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 149
- Industrial and Manufacturing Engineering 111
- Human-Computer Interaction 105
- Control and Systems Engineering 81
- Social Psychology 61
Countries citing papers authored by Yalda Ghasemi
This map shows the geographic impact of Yalda Ghasemi'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 Yalda Ghasemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalda Ghasemi more than expected).
Fields of papers citing papers by Yalda Ghasemi
This network shows the impact of papers produced by Yalda Ghasemi. 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 Yalda Ghasemi. The network helps show where Yalda Ghasemi may publish in the future.
Co-authorship network of co-authors of Yalda Ghasemi
This figure shows the co-authorship network connecting the top 25 collaborators of Yalda Ghasemi. A scholar is included among the top collaborators of Yalda Ghasemi 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 Yalda Ghasemi. Yalda Ghasemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 110 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 68 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generationbreakdown → | 161 |
About Yalda Ghasemi
Yalda Ghasemi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology, having authored 16 papers that have together received 409 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (10 papers), Augmented Reality Applications (8 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (105 citations), Industrial and Manufacturing Engineering (111 citations) and Computer Vision and Pattern Recognition (149 citations). Yalda Ghasemi has collaborated with scholars based in United States and South Korea. Frequent co-authors include Heejin Jeong, Jae Yeol Lee, Kyeong-Beom Park, Sung Ho Choi, Myunghee Kim, Andrew Johnson, Joel Reynolds, Chang S. Nam, Justin A. MacDonald and Ting Dai. Their work appears in journals such as IEEE Access, Computers in Industry and Robotics and Computer-Integrated Manufacturing.
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.