Markus Laner
Impact in
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- IoT and Edge/Fog Computing
- Wireless Networks and Protocols
- Network Traffic and Congestion Control
- Network Security and Intrusion Detection
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- IoT Networks and Protocols
- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
Papers in
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- Network Traffic and Congestion Control 8
- Wireless Communication Networks Research 3
- IoT and Edge/Fog Computing 3
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- Advanced Wireless Network Optimization 6
- Advanced MIMO Systems Optimization 3
- IoT Networks and Protocols 3
- Co-authors
- Philipp Svoboda (17 shared papers)Markus Rupp (15 shared papers)Navid Nikaein (3 shared papers)Dejan Drajić (2 shared papers)Srdjan Krčo (2 shared papers)Štefan Schwarz (1 shared paper)Sebastian Caban (1 shared paper)Joachim Fabini (2 shared papers)
In The Last Decade
Markus Laner
17 papers receiving 296 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 236
- Electrical and Electronic Engineering 220
- Transportation 19
- Building and Construction 26
- Signal Processing 20
Countries citing papers authored by Markus Laner
This map shows the geographic impact of Markus Laner'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 Markus Laner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Laner more than expected).
Fields of papers citing papers by Markus Laner
This network shows the impact of papers produced by Markus Laner. 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 Markus Laner. The network helps show where Markus Laner may publish in the future.
Co-authors
The 9 scholars most cited alongside Markus Laner, 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 | Traffic models for machine type communications | 2013 | 86 |
| 2 | Simple Traffic Modeling Framework for Machine Type Communication | 2013 | 59 |
| 3 | 2012 | 35 | |
| 4 | 2013 | 26 | |
| 5 | 2011 | 19 | |
| 6 | 2011 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2012 | 11 | |
| 9 | Detecting M2M traffic in mobile cellular networks | 2014 | 9 |
| 10 | Latency analysis of 3G network components | 2012 | 8 |
| 11 | 2010 | 6 | |
| 12 | 2012 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2012 | 3 | |
| 15 | 2013 | 3 | |
| 16 | End-to-end Delay in Mobile Networks: Does the Traffic Pattern Matter? | 2013 | 2 |
| 17 | 2011 | 2 |
About Markus Laner
Markus Laner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Sociology and Political Science, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (8 papers), Advanced Wireless Network Optimization (6 papers), Wireless Communication Networks Research (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced MIMO Systems Optimization (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Wireless Body Area Networks (3 papers) and IoT Networks and Protocols (3 papers). The work is most often cited by research in Computer Networks and Communications (236 citations), Electrical and Electronic Engineering (220 citations), Transportation (19 citations), Building and Construction (26 citations) and Signal Processing (20 citations). Markus Laner has collaborated with scholars based in Austria, France and Italy. Frequent co-authors include Philipp Svoboda, Markus Rupp, Navid Nikaein, Dejan Drajić, Srdjan Krčo, Štefan Schwarz, Sebastian Caban, Joachim Fabini and Fabio Ricciato. Their work appears in journals such as IEEE Access, ACM SIGMETRICS Performance Evaluation Review, IEEE Communications Letters, Lecture notes in computer science and IEEE Instrumentation & Measurement Magazine.
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.