Markus Laner

508 citations
15 papers · 261 · h-index 8

Impact in

Papers in

Markus Laner

15 papers receiving 256 citations

Peers

Markus Laner
Comparison fields: 5 of 28
  • Computer Networks and Communications 200
  • Electrical and Electronic Engineering 187
  • Transportation 19
  • Building and Construction 24
  • Signal Processing 19
Replace Ilaria Malanchini with:
Ilaria Malanchini Germany
Nabil Tabbane Tunisia
Benoît Parrein France
Georgios P. Koudouridis Sweden
Anelise Munaretto Brazil
Wei-Ru Lai Taiwan
Mohammed Oumsis Morocco
Mauro Fonseca Brazil
Rajgopal Kannan United States
Markus Laner relative to Ilaria Malanchini Germany Ilaria Malanchini's profile →
Citations per field
00.5×4.8×
Ilaria Malanchini · 1×
Citations per year

Countries citing papers authored by Markus Laner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Laner Line = papers co-authored together Markus Laner links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Traffic models for machine type communications
201379
2
Simple Traffic Modeling Framework for Machine Type Communication
201355
3 201233
4 201325
5 201112
6 201211
7 201410
8
Latency analysis of 3G network components
20128
9
Detecting M2M traffic in mobile cellular networks
20147
10 20106
11 20125
12 20123
13 20133
14
End-to-end Delay in Mobile Networks: Does the Traffic Pattern Matter?
20132
15 20112

About Markus Laner

Markus Laner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Surgery, 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), Network Security and Intrusion Detection (3 papers), Wireless Communication Networks Research (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), IoT and Edge/Fog Computing (3 papers), IoT Networks and Protocols (2 papers) and Network Time Synchronization Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Electrical and Electronic Engineering (187 citations), Transportation (19 citations), Building and Construction (24 citations) and Signal Processing (19 citations). Markus Laner has collaborated with scholars based in Austria, France and Sweden. Frequent co-authors include Philipp Svoboda, Markus Rupp, Navid Nikaein, Dejan Drajić, Štefan Schwarz, Srdjan Krčo, Sebastian Caban, Joachim Fabini and Fabio Ricciato. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Access, IEEE Communications Letters, IEEE Instrumentation & Measurement Magazine and Graduate School and Research Center in Digital Science (EURECOM).

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.

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