Daniel Aarno
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
-
- Robot Manipulation and Learning 7
-
- Robotic Path Planning Algorithms 4
- Co-authors
- Danica Kragić (10 shared papers)Staffan Ekvall (5 shared papers)Jakob Engblom (4 shared papers)Henrik I. Christensen (1 shared paper)Florentin Wörgötter (1 shared paper)Nicolas Pugeault (1 shared paper)Sinan Kalkan (1 shared paper)Dirk Kraft (1 shared paper)
- Journals
- Lecture notes in control and information sciences (1 paper)IEEE Transactions on Robotics (1 paper)Robotics and Autonomous Systems (1 paper)Intelligent Robots and Systems (1 paper)Elsevier eBooks (2 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Daniel Aarno
15 papers receiving 335 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 77
- Control and Systems Engineering 156
- Hardware and Architecture 39
- Computer Vision and Pattern Recognition 116
- Cognitive Neuroscience 61
Countries citing papers authored by Daniel Aarno
This map shows the geographic impact of Daniel Aarno'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 Aarno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Aarno more than expected).
Fields of papers citing papers by Daniel Aarno
This network shows the impact of papers produced by Daniel Aarno. 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 Aarno. The network helps show where Daniel Aarno may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Aarno, 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 | 2006 | 76 | |
| 2 | 2007 | 61 | |
| 3 | 2006 | 37 | |
| 4 | 2006 | 36 | |
| 5 | 2007 | 32 | |
| 6 | 2004 | 29 | |
| 7 | Software and System Development using Virtual Platforms: Full-System Simulation with Wind River Simics | 2014 | 21 |
| 8 | 2010 | 21 | |
| 9 | 2006 | 12 | |
| 10 | 2006 | 10 | |
| 11 | 2006 | 8 | |
| 12 | Intention Recognition in Human Machine Collaborative Systems | 2007 | 7 |
| 13 | 2005 | 6 | |
| 14 | 2014 | 3 | |
| 15 | Sensor Integration and Task Planning for Mobile Manipulation | 2004 | 1 |
| 16 | 2015 | 1 | |
| 17 | 2014 | 0 |
About Daniel Aarno
Daniel Aarno is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Robotic Path Planning Algorithms (4 papers), Teleoperation and Haptic Systems (4 papers), Distributed and Parallel Computing Systems (3 papers), Robotics and Sensor-Based Localization (3 papers), Hand Gesture Recognition Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Control and Systems Engineering (156 citations), Hardware and Architecture (39 citations), Computer Vision and Pattern Recognition (116 citations) and Cognitive Neuroscience (61 citations). Daniel Aarno has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Danica Kragić, Staffan Ekvall, Jakob Engblom, Henrik I. Christensen, Florentin Wörgötter, Nicolas Pugeault, Sinan Kalkan, Dirk Kraft, Norbert Krüger and Patric Jensfelt. Their work appears in journals such as Lecture notes in control and information sciences, IEEE Transactions on Robotics, Robotics and Autonomous Systems, Intelligent Robots and Systems and Elsevier eBooks.
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.