Lukas Köping
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Context-Aware Activity Recognition Systems 4
- Video Surveillance and Tracking Methods 1
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- Indoor and Outdoor Localization Technologies 5
- Co-authors
- Marcin Grzegorzek (8 shared papers)Kimiaki Shirahama (3 shared papers)Frédéric Li (2 shared papers)Muhammad Adeel Nisar (1 shared paper)Frank Deinzer (5 shared papers)Sebastian Schmitz (1 shared paper)Grzegorz J. Nalepa (1 shared paper)Szymon Bobek (1 shared paper)
- Journals
- Sensors (1 paper)Computers in Biology and Medicine (1 paper)International Conference on Information Fusion (1 paper)Annual of Navigation (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Lukas Köping
9 papers receiving 374 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 281
- Signal Processing 54
- Transportation 30
- Computer Networks and Communications 99
- Artificial Intelligence 113
Countries citing papers authored by Lukas Köping
This map shows the geographic impact of Lukas Köping'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 Lukas Köping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Köping more than expected).
Fields of papers citing papers by Lukas Köping
This network shows the impact of papers produced by Lukas Köping. 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 Lukas Köping. The network helps show where Lukas Köping may publish in the future.
Co-authors
The 9 scholars most cited alongside Lukas Köping, 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 | 2018 | 243 | |
| 2 | 2018 | 58 | |
| 3 | 2015 | 33 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 11 | |
| 6 | Improving indoor localization by user feedback | 2015 | 8 |
| 7 | 2014 | 4 | |
| 8 | 2017 | 2 | |
| 9 | 2012 | 2 |
About Lukas Köping
Lukas Köping is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 9 papers that have together received 385 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Context-Aware Activity Recognition Systems (4 papers), Speech and Audio Processing (2 papers), Robotics and Sensor-Based Localization (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Anomaly Detection Techniques and Applications (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Signal Processing (54 citations), Transportation (30 citations), Computer Networks and Communications (99 citations) and Artificial Intelligence (113 citations). Lukas Köping has collaborated with scholars based in Germany and Poland. Frequent co-authors include Marcin Grzegorzek, Kimiaki Shirahama, Frédéric Li, Muhammad Adeel Nisar, Frank Deinzer, Sebastian Schmitz, Grzegorz J. Nalepa, Szymon Bobek and Michael E. Bernard. Their work appears in journals such as Sensors, Computers in Biology and Medicine, International Conference on Information Fusion, Annual of Navigation and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.