Markus Laner
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Biomedical Engineering
- Building and Construction
- Co-authors
- Philipp SvobodaMarkus RuppNavid NikaeinŠtefan SchwarzDejan DrajićSrdjan KrčoSebastian CabanJoachim Fabini
- Topics
- Network Traffic and Congestion Control (7 papers)Advanced Wireless Network Optimization (5 papers)IoT and Edge/Fog Computing (3 papers)
In The Last Decade
Markus Laner
15 papers receiving 256 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 200
- Electrical and Electronic Engineering 187
- Artificial Intelligence 38
- Biomedical Engineering 30
- Building and Construction 24
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-authorship network of co-authors of Markus Laner
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Laner. A scholar is included among the top collaborators of Markus Laner 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 Markus Laner. Markus Laner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Detecting M2M traffic in mobile cellular networks | 7 |
| 2 | 10 | |
| 3 | Traffic models for machine type communications | 79 |
| 4 | Simple Traffic Modeling Framework for Machine Type Communication | 55 |
| 5 | End-to-end Delay in Mobile Networks: Does the Traffic Pattern Matter? | 2 |
| 6 | 25 | |
| 7 | 3 | |
| 8 | Latency analysis of 3G network components | 8 |
| 9 | 11 | |
| 10 | 33 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 6 |
About Markus Laner
Markus Laner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems, having authored 15 papers that have together received 261 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (7 papers), Advanced Wireless Network Optimization (5 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Electrical and Electronic Engineering (187 citations) and Transportation (19 citations). Markus Laner has collaborated with scholars based in Austria, France and Sweden. Frequent co-authors include Philipp Svoboda, Markus Rupp, Navid Nikaein, Štefan Schwarz, Dejan Drajić, Srdjan Krčo, Sebastian Caban, Joachim Fabini and Fabio Ricciato. Their work appears in journals such as IEEE Access, IEEE Communications Letters and ACM SIGMETRICS Performance Evaluation Review.
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.