Espen Knoop
- Biomedical Engineering
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Moritz BächerJonathan RossiterChristian SchumacherMiguel Á. OtaduyMojmír MutnýBernhard ThomaszewskiStelian CorosHongyi Xu
- Topics
- Robot Manipulation and Learning (11 papers)Human Pose and Action Recognition (6 papers)Human Motion and Animation (6 papers)
- Journals
- ACM Transactions on GraphicsThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Espen Knoop
28 papers receiving 449 citations
Peers
Comparison fields: 5 of 61
- Biomedical Engineering 242
- Control and Systems Engineering 176
- Mechanical Engineering 122
- Cognitive Neuroscience 105
- Human-Computer Interaction 67
Countries citing papers authored by Espen Knoop
This map shows the geographic impact of Espen Knoop'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 Espen Knoop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Espen Knoop more than expected).
Fields of papers citing papers by Espen Knoop
This network shows the impact of papers produced by Espen Knoop. 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 Espen Knoop. The network helps show where Espen Knoop may publish in the future.
Co-authorship network of co-authors of Espen Knoop
This figure shows the co-authorship network connecting the top 25 collaborators of Espen Knoop. A scholar is included among the top collaborators of Espen Knoop 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 Espen Knoop. Espen Knoop is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 87 | |
| 15 | 22 | |
| 16 | 29 | |
| 17 | 5 | |
| 18 | 38 | |
| 19 | 5 | |
| 20 | 40 |
About Espen Knoop
Espen Knoop is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Cognitive Neuroscience, having authored 30 papers that have together received 455 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Human Pose and Action Recognition (6 papers) and Human Motion and Animation (6 papers). The work is most often cited by research in Human-Computer Interaction (67 citations), Control and Systems Engineering (176 citations) and Biomedical Engineering (242 citations). Espen Knoop has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Moritz Bächer, Jonathan Rossiter, Christian Schumacher, Miguel Á. Otaduy, Mojmír Mutný, Bernhard Thomaszewski, Stelian Coros, Hongyi Xu, Jonas Zehnder and Günter Niemeyer. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.