Markus Leinonen

962 citations
60 papers · 671 · h-index 14

Impact in

Papers in

Markus Leinonen

60 papers receiving 660 citations

Peers

Markus Leinonen
Comparison fields: 5 of 57
  • Computer Networks and Communications 397
  • Computational Mechanics 165
  • Electrical and Electronic Engineering 373
  • Signal Processing 60
  • Epidemiology 79
Replace Jie Cao with:
Jie Cao China
Ye Xue China
Alan J. Coulson New Zealand
Yunquan Dong China
Xiaomei Zhu China
Lihai Liu Hong Kong
Mihai-Alin Badiu United Kingdom
Luca Reggiani Italy
Behrooz Makki Sweden
Zhongwu Xiang China
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Citations per year

Countries citing papers authored by Markus Leinonen

Since Specialization
Citations

This map shows the geographic impact of Markus Leinonen'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 Leinonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Leinonen more than expected).

Fields of papers citing papers by Markus Leinonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Leinonen. 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 Leinonen. The network helps show where Markus Leinonen may publish in the future.

Co-authors

The 22 scholars most cited alongside Markus Leinonen, 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 Leinonen Line = papers co-authored together Markus Leinonen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201480
2 201359
3 202048
4 201834
5 202234
6 201933
7 202225
8 202225
9 202125
10 202324
11 202222
12 201919
13 201915
14 202114
15 201314
16 202013
17 202212
18 201811
19 201411
20 202010

About Markus Leinonen

Markus Leinonen is a scholar working on Computer Networks and Communications, Computational Mechanics, Electrical and Electronic Engineering, Epidemiology and Signal Processing, having authored 60 papers that have together received 671 indexed citations. Recurring topics across this work include Age of Information Optimization (31 papers), Congenital Heart Disease Studies (19 papers), Sparse and Compressive Sensing Techniques (17 papers), Distributed Sensor Networks and Detection Algorithms (14 papers), IoT Networks and Protocols (14 papers), Energy Harvesting in Wireless Networks (10 papers), Atomic and Subatomic Physics Research (8 papers) and Advanced MIMO Systems Optimization (8 papers). The work is most often cited by research in Computer Networks and Communications (397 citations), Computational Mechanics (165 citations), Electrical and Electronic Engineering (373 citations), Signal Processing (60 citations) and Epidemiology (79 citations). Markus Leinonen has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Marian Codreanu, Markku J. Juntti, Mohammad Moltafet, Hamza Djelouat, Jiguang He, Henk Wymeersch, nikolaos pappas, Zheng Chen, Bhaskar D. Rao and Georgios B. Giannakis. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, IEEE/ACM Transactions on Networking and IEEE Transactions on Green Communications and Networking.

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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