Christopher M. Cianci
- Mechanical Engineering top 10%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Co-authors
- Alcherio MartinoliJean‐Christophe ZuffereyFrancesco MondadaMichaël BonaniStéphane MagnenatDario FloreanoAdam KlaptoczVlad Trifa
- Topics
- Modular Robots and Swarm Intelligence (5 papers)Energy Efficient Wireless Sensor Networks (4 papers)Distributed Control Multi-Agent Systems (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandFrance
In The Last Decade
Christopher M. Cianci
8 papers receiving 473 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Mechanical Engineering 212
- Computer Networks and Communications 211
- Control and Systems Engineering 132
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 107
Countries citing papers authored by Christopher M. Cianci
This map shows the geographic impact of Christopher M. Cianci'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 Christopher M. Cianci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Cianci more than expected).
Fields of papers citing papers by Christopher M. Cianci
This network shows the impact of papers produced by Christopher M. Cianci. 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 Christopher M. Cianci. The network helps show where Christopher M. Cianci may publish in the future.
Co-authorship network of co-authors of Christopher M. Cianci
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Cianci. A scholar is included among the top collaborators of Christopher M. Cianci 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 Christopher M. Cianci. Christopher M. Cianci 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 | The e-puck, a Robot Designed for Education in Engineeringbreakdown → | 451 |
| 3 | 1 | |
| 4 | Dynamic Control of a Robotic Swarm using a Service-Oriented Architecture | 15 |
| 5 | 6 | |
| 6 | 2 | |
| 7 | Self-Organized Embedded Sensor/Actuator Networks for ""Smart"" Turbines | 8 |
| 8 | Fusion of Lidar and Stereo Range for Mobile Robots | 14 |
About Christopher M. Cianci
Christopher M. Cianci is a scholar working on Computer Networks and Communications, Computer Science Applications and Mechanical Engineering, having authored 8 papers that have together received 499 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (211 citations), Computer Science Applications (39 citations) and Computer Vision and Pattern Recognition (127 citations). Christopher M. Cianci has collaborated with scholars based in Switzerland and France. Frequent co-authors include Alcherio Martinoli, Jean‐Christophe Zufferey, Francesco Mondada, Michaël Bonani, Stéphane Magnenat, Dario Floreano, Adam Klaptocz, Vlad Trifa, Andrés Castaño and Kevin Nickels. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne) 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.