Matthias Gauger
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Ocean Engineering
- Co-authors
- Andreas LachenmannOlga SaukhPedro José MarrónGregory D. AbowdKurt RothermelRobert SauterDaniel MinderArno Wacker
- Topics
- Energy Efficient Wireless Sensor Networks (12 papers)Context-Aware Activity Recognition Systems (5 papers)Indoor and Outdoor Localization Technologies (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- ACM SIGOPS Operating Systems ReviewACM Transactions on Sensor NetworksTelecommunication Systems
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Gauger
14 papers receiving 201 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 146
- Electrical and Electronic Engineering 89
- Computer Vision and Pattern Recognition 63
- Sociology and Political Science 24
- Ocean Engineering 24
Countries citing papers authored by Matthias Gauger
This map shows the geographic impact of Matthias Gauger'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 Matthias Gauger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Gauger more than expected).
Fields of papers citing papers by Matthias Gauger
This network shows the impact of papers produced by Matthias Gauger. 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 Matthias Gauger. The network helps show where Matthias Gauger may publish in the future.
Co-authorship network of co-authors of Matthias Gauger
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Gauger. A scholar is included among the top collaborators of Matthias Gauger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Gauger. Matthias Gauger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 32 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 29 | |
| 14 | 49 |
About Matthias Gauger
Matthias Gauger is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 212 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Context-Aware Activity Recognition Systems (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (146 citations), Computer Vision and Pattern Recognition (63 citations) and Human-Computer Interaction (15 citations). Matthias Gauger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Lachenmann, Olga Saukh, Pedro José Marrón, Gregory D. Abowd, Kurt Rothermel, Robert Sauter, Daniel Minder, Arno Wacker, Christoph Niedermeier and Marcus Handte. Their work appears in journals such as ACM SIGOPS Operating Systems Review, ACM Transactions on Sensor Networks and Telecommunication 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.