Adam Klaptocz
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Dario FloreanoJean‐Christophe ZuffereyFrancesco MondadaAlcherio MartinoliChristopher M. CianciStéphane MagnenatMichaël BonaniAdrien Briod
- Topics
- Robotic Path Planning Algorithms (6 papers)Robotics and Sensor-Based Localization (5 papers)Robotic Locomotion and Control (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsAerospace Engineering
- Journals
- IEEE Transactions on RoboticsAdvanced RoboticsInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Adam Klaptocz
12 papers receiving 700 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Mechanical Engineering 250
- Computer Vision and Pattern Recognition 244
- Computer Networks and Communications 212
- Aerospace Engineering 201
- Control and Systems Engineering 177
Countries citing papers authored by Adam Klaptocz
This map shows the geographic impact of Adam Klaptocz'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 Adam Klaptocz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Klaptocz more than expected).
Fields of papers citing papers by Adam Klaptocz
This network shows the impact of papers produced by Adam Klaptocz. 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 Adam Klaptocz. The network helps show where Adam Klaptocz may publish in the future.
Co-authorship network of co-authors of Adam Klaptocz
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Klaptocz. A scholar is included among the top collaborators of Adam Klaptocz 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 Adam Klaptocz. Adam Klaptocz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 23 | |
| 3 | 36 | |
| 4 | 17 | |
| 5 | 23 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | The e-puck, a Robot Designed for Education in Engineeringbreakdown → | 451 |
| 9 | 40 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | Miniature Cameras for Ultra-Light Flying Robots | 2 |
About Adam Klaptocz
Adam Klaptocz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Science Applications, having authored 12 papers that have together received 728 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Computer Networks and Communications (212 citations) and Aerospace Engineering (201 citations). Adam Klaptocz has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Dario Floreano, Jean‐Christophe Zufferey, Francesco Mondada, Alcherio Martinoli, Christopher M. Cianci, Stéphane Magnenat, Michaël Bonani, Adrien Briod, Ludovic Daler and Jean-Daniel Nicoud. Their work appears in journals such as IEEE Transactions on Robotics, Advanced Robotics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.