Markus Laner
Impact in
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- Network Traffic and Congestion Control
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
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- IoT Networks and Protocols
- Advanced Wireless Network Optimization
Papers in
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- Network Traffic and Congestion Control 11
- Wireless Communication Networks Research 4
- Network Time Synchronization Technologies 1
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- Advanced Wireless Network Optimization 5
- IoT Networks and Protocols 4
- Co-authors
- Philipp Svoboda (18 shared papers)Markus Rupp (16 shared papers)Navid Nikaein (4 shared papers)Fabio Ricciato (2 shared papers)Dejan D. Drajic (3 shared papers)Srdjan Krčo (2 shared papers)Štefan Schwarz (1 shared paper)Sebastian Caban (1 shared paper)
In The Last Decade
Markus Laner
19 papers receiving 442 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 244
- Electrical and Electronic Engineering 226
- Artificial Intelligence 53
- Media Technology 13
- Building and Construction 21
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 | A Comparison Between One-way Delays in Operating HSPA and LTE Networks | 2012 | 101 |
| 2 | Traffic models for machine type communications | 2013 | 84 |
| 3 | Simple Traffic Modeling Framework for Machine Type Communication | 2013 | 62 |
| 4 | 2012 | 36 | |
| 5 | 2015 | 35 | |
| 6 | 2013 | 26 | |
| 7 | 2011 | 19 | |
| 8 | 2011 | 16 | |
| 9 | 2012 | 12 | |
| 10 | 2014 | 11 | |
| 11 | Latency analysis of 3G network components | 2012 | 10 |
| 12 | Detecting M2M traffic in mobile cellular networks | 2014 | 8 |
| 13 | 2010 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2012 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2011 | 2 | |
| 19 | End-to-end Delay in Mobile Networks: Does the Traffic Pattern Matter? | 2013 | 2 |
About Markus Laner
Markus Laner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Economics and Econometrics, Artificial Intelligence and Nuclear Energy and Engineering, having authored 19 papers that have together received 448 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (11 papers), Advanced Wireless Network Optimization (5 papers), Wireless Communication Networks Research (4 papers), IoT Networks and Protocols (4 papers), Network Time Synchronization Technologies (1 paper), Complex Systems and Time Series Analysis (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Computer Networks and Communications (244 citations), Electrical and Electronic Engineering (226 citations), Artificial Intelligence (53 citations), Media Technology (13 citations) and Building and Construction (21 citations). Markus Laner has collaborated with scholars based in Austria, France and Sweden. Frequent co-authors include Philipp Svoboda, Markus Rupp, Navid Nikaein, Fabio Ricciato, Dejan D. Drajic, Srdjan Krčo, Štefan Schwarz, Sebastian Caban and Joachim Fabini. Their work appears in journals such as IEEE Communications Letters, IEEE Access, ACM SIGMETRICS Performance Evaluation Review, 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.