Kaspar Schleiser
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- IoT and Edge/Fog Computing 7
- Energy Efficient Wireless Sensor Networks 1
- Software-Defined Networks and 5G 1
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- Cloud Computing and Resource Management 2
- Co-authors
- Emmanuel Baccelli (7 shared papers)Hannes Tschofenig (1 shared paper)Francisco J. Acosta (1 shared paper)Oliver Hahm (1 shared paper)Matthias Wählisch (1 shared paper)Cenk Gündoğan (1 shared paper)Hauke Petersen (1 shared paper)Peter Kietzmann (1 shared paper)
- Journals
- IEEE Internet of Things Journal (1 paper)Internet of Things (1 paper)IEEE Access (1 paper)Annals of Telecommunications (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Kaspar Schleiser
7 papers receiving 256 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 194
- Signal Processing 58
- Hardware and Architecture 28
- Information Systems 59
- Electrical and Electronic Engineering 93
Countries citing papers authored by Kaspar Schleiser
This map shows the geographic impact of Kaspar Schleiser'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 Kaspar Schleiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaspar Schleiser more than expected).
Fields of papers citing papers by Kaspar Schleiser
This network shows the impact of papers produced by Kaspar Schleiser. 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 Kaspar Schleiser. The network helps show where Kaspar Schleiser may publish in the future.
Co-authors
The 14 scholars most cited alongside Kaspar Schleiser, 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 | 129 | |
| 2 | 2019 | 83 | |
| 3 | 2009 | 37 | |
| 4 | 2018 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2018 | 3 | |
| 8 | Scripting Over-The-Air: Towards Containers on Low-end Devices in the Internet of Things | 2018 | 0 |
About Kaspar Schleiser
Kaspar Schleiser is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 8 papers that have together received 264 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (2 papers), Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Green IT and Sustainability (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (194 citations), Signal Processing (58 citations), Hardware and Architecture (28 citations), Information Systems (59 citations) and Electrical and Electronic Engineering (93 citations). Kaspar Schleiser has collaborated with scholars based in Germany, France and Japan. Frequent co-authors include Emmanuel Baccelli, Hannes Tschofenig, Francisco J. Acosta, Oliver Hahm, Matthias Wählisch, Cenk Gündoğan, Hauke Petersen, Peter Kietzmann, Thomas C. Schmidt and Jochen Schiller. Their work appears in journals such as IEEE Internet of Things Journal, Internet of Things, IEEE Access, Annals of Telecommunications 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.