Micha Sende
Impact in
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- Distributed Control Multi-Agent Systems
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- Robotic Path Planning Algorithms
Papers in
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- Distributed Control Multi-Agent Systems 3
- Opportunistic and Delay-Tolerant Networks 2
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- Modular Robots and Swarm Intelligence 5
- Co-authors
- Melanie Schranz (6 shared papers)Wilfried Elmenreich (3 shared papers)Martina Umlauft (2 shared papers)Farshad Arvin (1 shared paper)Y. Ahmet Şekercioğlu (1 shared paper)Gianni A. Di (1 shared paper)Thomas Schmickl (1 shared paper)Aymen Fakhreddine (1 shared paper)
- Journals
- Swarm and Evolutionary Computation (1 paper)Autonomous Robots (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Frontiers in Robotics and AI (1 paper)ACM SIGAda Ada Letters (2 papers)
In The Last Decade
Micha Sende
7 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 175
- Computer Vision and Pattern Recognition 71
- Mechanical Engineering 127
- Industrial and Manufacturing Engineering 30
- Aerospace Engineering 69
Countries citing papers authored by Micha Sende
This map shows the geographic impact of Micha Sende'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 Micha Sende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha Sende more than expected).
Fields of papers citing papers by Micha Sende
This network shows the impact of papers produced by Micha Sende. 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 Micha Sende. The network helps show where Micha Sende may publish in the future.
Co-authors
The 13 scholars most cited alongside Micha Sende, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Swarm Robotic Behaviors and Current Applications Hit paper breakdown → | 2020 | 248 |
| 2 | 2020 | 109 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 5 | |
| 5 | The CPSwarm Technology for Designing Swarms of Cyber-Physical Systems | 2019 | 3 |
| 6 | 2020 | 3 | |
| 7 | 2020 | 1 | |
| 8 | 2024 | 0 |
About Micha Sende
Micha Sende is a scholar working on Computer Networks and Communications, Mechanical Engineering, Management Science and Operations Research, Aerospace Engineering and Control and Systems Engineering, having authored 8 papers that have together received 375 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (5 papers), Simulation Techniques and Applications (4 papers), Distributed Control Multi-Agent Systems (3 papers), Opportunistic and Delay-Tolerant Networks (2 papers), UAV Applications and Optimization (2 papers), Embedded Systems Design Techniques (1 paper), Advanced Wireless Communication Technologies (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (175 citations), Computer Vision and Pattern Recognition (71 citations), Mechanical Engineering (127 citations), Industrial and Manufacturing Engineering (30 citations) and Aerospace Engineering (69 citations). Micha Sende has collaborated with scholars based in Austria, Qatar and Italy. Frequent co-authors include Melanie Schranz, Wilfried Elmenreich, Martina Umlauft, Farshad Arvin, Y. Ahmet Şekercioğlu, Gianni A. Di, Thomas Schmickl, Aymen Fakhreddine, Christian Bettstetter and Alessandra Bagnato. Their work appears in journals such as Swarm and Evolutionary Computation, Autonomous Robots, Journal of Intelligent & Robotic Systems, Frontiers in Robotics and AI and ACM SIGAda Ada Letters.
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.