Lorna Herda
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Computational Mechanics
- Co-authors
- Pascal FuaRonan BoulicR. PlankersDaniël ThalmannRaquel UrtasunAndrew J. HansonMarius SilaghiLuciana Nedel
- Topics
- Human Motion and Animation (9 papers)Human Pose and Action Recognition (7 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionControl and Systems Engineering
- Journals
- The International Journal of Robotics ResearchComputer Vision and Image UnderstandingHuman Movement Science
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Lorna Herda
8 papers receiving 241 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 198
- Control and Systems Engineering 131
- Biomedical Engineering 50
- Human-Computer Interaction 45
- Computational Mechanics 34
Countries citing papers authored by Lorna Herda
This map shows the geographic impact of Lorna Herda'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 Lorna Herda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorna Herda more than expected).
Fields of papers citing papers by Lorna Herda
This network shows the impact of papers produced by Lorna Herda. 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 Lorna Herda. The network helps show where Lorna Herda may publish in the future.
Co-authorship network of co-authors of Lorna Herda
This figure shows the co-authorship network connecting the top 25 collaborators of Lorna Herda. A scholar is included among the top collaborators of Lorna Herda 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 Lorna Herda. Lorna Herda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 3 | |
| 3 | 32 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 98 | |
| 7 | 85 | |
| 8 | Human Shape and Motion Recovery Using Animation Models | 4 |
| 9 | An Anatomic Human Body For Motion Capture | 8 |
About Lorna Herda
Lorna Herda is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 9 papers that have together received 271 indexed citations. Recurring topics across this work include Human Motion and Animation (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Human-Computer Interaction (45 citations) and Control and Systems Engineering (131 citations). Lorna Herda has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Pascal Fua, Ronan Boulic, R. Plankers, Daniël Thalmann, Raquel Urtasun, Andrew J. Hanson, Marius Silaghi and Luciana Nedel. Their work appears in journals such as The International Journal of Robotics Research, Computer Vision and Image Understanding and Human Movement Science.
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.