Chris Scrapper
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Stephen BalakirskyStefano CarpinMike LewisJijun WangRick DoveRaj MadhavanAlexander KleinerJudith Dahmann
- Topics
- Robotic Path Planning Algorithms (8 papers)Modular Robots and Swarm Intelligence (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- Robotics and Autonomous SystemsProceedings - IEEE International Conference on Robotics and Automation/ProceedingsOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Partner nations
- United StatesGermanyEgypt
In The Last Decade
Chris Scrapper
18 papers receiving 333 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 143
- Control and Systems Engineering 130
- Aerospace Engineering 107
- Mechanical Engineering 84
- Artificial Intelligence 67
Countries citing papers authored by Chris Scrapper
This map shows the geographic impact of Chris Scrapper'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 Chris Scrapper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Scrapper more than expected).
Fields of papers citing papers by Chris Scrapper
This network shows the impact of papers produced by Chris Scrapper. 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 Chris Scrapper. The network helps show where Chris Scrapper may publish in the future.
Co-authorship network of co-authors of Chris Scrapper
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Scrapper. A scholar is included among the top collaborators of Chris Scrapper 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 Chris Scrapper. Chris Scrapper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | An Open-Source Virtual Manufacturing Automation Competition | 1 |
| 10 | 4 | |
| 11 | 6 | |
| 12 | Characterizing Robot-Generated Maps: The Importance of Representations and Objective Metrics | 1 |
| 13 | 5 | |
| 14 | 278 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 7 |
About Chris Scrapper
Chris Scrapper is a scholar working on Software, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 19 papers that have together received 370 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Modular Robots and Swarm Intelligence (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Control and Systems Engineering (130 citations) and Aerospace Engineering (107 citations). Chris Scrapper has collaborated with scholars based in United States, Germany and Egypt. Frequent co-authors include Stephen Balakirsky, Stefano Carpin, Mike Lewis, Jijun Wang, Rick Dove, Raj Madhavan, Alexander Kleiner, Judith Dahmann, Adam Jacoff and Amir Rahmani. Their work appears in journals such as Robotics and Autonomous Systems, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.