Daniel Leidner
Impact in
-
- Robot Manipulation and Learning
- Robotics and Automated Systems
- Human-Computer Interaction top 10%
Papers in
-
- Robot Manipulation and Learning 24
- Robotics and Automated Systems 13
-
- Modular Robots and Swarm Intelligence 11
- Teleoperation and Haptic Systems 6
- Co-authors
- Alin Albu‐Schäffer (15 shared papers)Christoph Borst (8 shared papers)Freek Stulp (12 shared papers)Alexander Dietrich (7 shared papers)Michael Beetz (6 shared papers)Gerd Hirzinger (2 shared papers)Neal Y. Lii (15 shared papers)Jörn Vogel (8 shared papers)
- Journals
- IEEE Robotics and Automation Letters (7 papers)IEEE Robotics & Automation Magazine (3 papers)Autonomous Robots (1 paper)Scientific Reports (1 paper)Robotics and Autonomous Systems (1 paper)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Daniel Leidner
48 papers receiving 623 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 370
- Human-Computer Interaction 54
- Industrial and Manufacturing Engineering 82
- Computer Vision and Pattern Recognition 168
- Mechanical Engineering 210
Countries citing papers authored by Daniel Leidner
This map shows the geographic impact of Daniel Leidner'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 Daniel Leidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Leidner more than expected).
Fields of papers citing papers by Daniel Leidner
This network shows the impact of papers produced by Daniel Leidner. 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 Daniel Leidner. The network helps show where Daniel Leidner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Leidner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2012 | 39 | |
| 3 | 2012 | 37 | |
| 4 | 2020 | 34 | |
| 5 | 2014 | 34 | |
| 6 | 2020 | 31 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2015 | 26 | |
| 11 | 2018 | 25 | |
| 12 | 2018 | 25 | |
| 13 | 2015 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2014 | 22 | |
| 16 | 2016 | 21 | |
| 17 | 2021 | 17 | |
| 18 | 2010 | 16 | |
| 19 | Toward scalable intuitive telecommand of robots for space deployment with METERON SUPVIS Justin | 2017 | 14 |
| 20 | 2021 | 13 |
About Daniel Leidner
Daniel Leidner is a scholar working on Control and Systems Engineering, Mechanical Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 56 papers that have together received 655 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (24 papers), Robotics and Automated Systems (13 papers), Modular Robots and Swarm Intelligence (11 papers), Space Satellite Systems and Control (9 papers), Robotic Path Planning Algorithms (9 papers), Space Exploration and Technology (8 papers), AI-based Problem Solving and Planning (8 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (370 citations), Human-Computer Interaction (54 citations), Industrial and Manufacturing Engineering (82 citations), Computer Vision and Pattern Recognition (168 citations) and Mechanical Engineering (210 citations). Daniel Leidner has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Alin Albu‐Schäffer, Christoph Borst, Freek Stulp, Alexander Dietrich, Michael Beetz, Gerd Hirzinger, Neal Y. Lii, Jörn Vogel, Máximo A. Roa and André Schiele. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine, Autonomous Robots, Scientific Reports and Robotics and Autonomous Systems.
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.