Martin Engelcke
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Control and Systems Engineering
- Biomedical Engineering
- Computational Mechanics
- Co-authors
- Ingmar PosnerŌiwi Parker JonesAdam R. KosiorekFabian B. FuchsMichael A. OsborneIoannis HavoutisWolfgang MerktOliver Groth
- Topics
- Generative Adversarial Networks and Image Synthesis (2 papers)Prosthetics and Rehabilitation Robotics (2 papers)Robot Manipulation and Learning (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignControl and Systems Engineering
- Journals
- IEEE Transactions on RoboticsIEEE Robotics and Automation LettersOxford University Research Archive (ORA) (University of Oxford)
- Partner nations
- United KingdomUnited States
In The Last Decade
Martin Engelcke
7 papers receiving 40 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 28
- Artificial Intelligence 8
- Control and Systems Engineering 6
- Biomedical Engineering 6
- Computational Mechanics 5
Countries citing papers authored by Martin Engelcke
This map shows the geographic impact of Martin Engelcke'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 Martin Engelcke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Engelcke more than expected).
Fields of papers citing papers by Martin Engelcke
This network shows the impact of papers produced by Martin Engelcke. 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 Martin Engelcke. The network helps show where Martin Engelcke may publish in the future.
Co-authorship network of co-authors of Martin Engelcke
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Engelcke. A scholar is included among the top collaborators of Martin Engelcke 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 Martin Engelcke. Martin Engelcke 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 | 3 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces | 3 |
| 6 | GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations | 13 |
| 7 | 9 |
About Martin Engelcke
Martin Engelcke is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering, having authored 7 papers that have together received 41 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Prosthetics and Rehabilitation Robotics (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (28 citations), Computer Graphics and Computer-Aided Design (4 citations) and Control and Systems Engineering (6 citations). Martin Engelcke has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ingmar Posner, Ōiwi Parker Jones, Adam R. Kosiorek, Fabian B. Fuchs, Michael A. Osborne, Ioannis Havoutis, Wolfgang Merkt, Oliver Groth, Alex Mitchell and Áron Monszpart. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Oxford University Research Archive (ORA) (University of Oxford).
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.