Daniel Laidig
Impact in
- Aerospace Engineering top 5%
- Inertial Sensor and Navigation
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Inertial Sensor and Navigation 12
-
- Context-Aware Activity Recognition Systems 5
- Co-authors
- Thomas Seel (20 shared papers)Thomas Schauer (5 shared papers)Andrea Cereatti (2 shared papers)Marco Caruso (2 shared papers)Philipp Müller (1 shared paper)Ugo Della Croce (1 shared paper)Angelo Maria Sabatini (1 shared paper)Marco Knaflitz (1 shared paper)
- Journals
- Sensors (3 papers)Information Fusion (1 paper)Gait & Posture (1 paper)International Conference on Rehabilitation Robotics (1 paper)Data (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Daniel Laidig
19 papers receiving 427 citations
Peers
Comparison fields: 5 of 39
- Aerospace Engineering 229
- Rehabilitation 51
- Physical Therapy, Sports Therapy and Rehabilitation 46
- Human-Computer Interaction 42
- Computer Vision and Pattern Recognition 106
Countries citing papers authored by Daniel Laidig
This map shows the geographic impact of Daniel Laidig'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 Laidig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Laidig more than expected).
Fields of papers citing papers by Daniel Laidig
This network shows the impact of papers produced by Daniel Laidig. 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 Laidig. The network helps show where Daniel Laidig may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Laidig, 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 | 2021 | 66 | |
| 2 | 2017 | 58 | |
| 3 | 2019 | 45 | |
| 4 | 2022 | 43 | |
| 5 | 2017 | 42 | |
| 6 | 2014 | 31 | |
| 7 | 2021 | 27 | |
| 8 | 2019 | 26 | |
| 9 | 2021 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2023 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2017 | 4 | |
| 16 | 2022 | 4 | |
| 17 | Magnetometer-free motion tracking of one-dimensional joints by exploiting kinematic constraints | 2020 | 3 |
| 18 | 2019 | 2 | |
| 19 | 2019 | 1 | |
| 20 | A self-calibrating and learning control system for non-invasive continuous perioperative blood pressure measurement | 2020 | 0 |
About Daniel Laidig
Daniel Laidig is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Rehabilitation, Human-Computer Interaction and Biomedical Engineering, having authored 20 papers that have together received 430 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (12 papers), Context-Aware Activity Recognition Systems (5 papers), Stroke Rehabilitation and Recovery (3 papers), Hand Gesture Recognition Systems (2 papers), Gait Recognition and Analysis (2 papers), Wireless Body Area Networks (2 papers), Muscle activation and electromyography studies (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Aerospace Engineering (229 citations), Rehabilitation (51 citations), Physical Therapy, Sports Therapy and Rehabilitation (46 citations), Human-Computer Interaction (42 citations) and Computer Vision and Pattern Recognition (106 citations). Daniel Laidig has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Thomas Seel, Thomas Schauer, Andrea Cereatti, Marco Caruso, Philipp Müller, Ugo Della Croce, Angelo Maria Sabatini, Marco Knaflitz, Ive Weygers and Jörg Raisch. Their work appears in journals such as Sensors, Information Fusion, Gait & Posture, International Conference on Rehabilitation Robotics and Data.
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.