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).
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-authorship network of co-authors of Markus Leinonen
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Leinonen.
A scholar is included among the top collaborators of Markus Leinonen 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 Leinonen. Markus Leinonen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Leinonen, Markus, et al.. (2021). AoI minimization in status update control with energy harvesting sensors. University of Oulu Repository (University of Oulu).64 indexed citations
6.
Moltafet, Mohammad, Markus Leinonen, Marian Codreanu, & Νικόλαος Παππάς. (2021). Power minimization for age of information constrained dynamic control in wireless sensor networks. University of Oulu Repository (University of Oulu).46 indexed citations
7.
Moltafet, Mohammad, Markus Leinonen, & Marian Codreanu. (2021). Moment generating function of the AoI in a two-source system with packet management. University of Oulu Repository (University of Oulu).31 indexed citations
8.
Leinonen, Markus, et al.. (2021). General total variation regularized sparse Bayesian learning for robust block-sparse signal recovery. University of Oulu Repository (University of Oulu).6 indexed citations
9.
Moltafet, Mohammad, Markus Leinonen, & Marian Codreanu. (2021). Average AoI in multi-source systems with source-aware packet management. University of Oulu Repository (University of Oulu).48 indexed citations
10.
Djelouat, Hamza, et al.. (2021). Iterative reweighted algorithms for joint user identification and channel estimation in spatially correlated massive MTC. University of Oulu Repository (University of Oulu).7 indexed citations
11.
Leinonen, Markus, et al.. (2021). Exploiting spatial correlation for pilot reuse in single-cell mMTC. University of Oulu Repository (University of Oulu).4 indexed citations
12.
Moltafet, Mohammad, Markus Leinonen, & Marian Codreanu. (2021). Moment generating function of the AoI in multi-source systems with computation-intensive status updates. University of Oulu Repository (University of Oulu).11 indexed citations
13.
Moltafet, Mohammad, Markus Leinonen, Marian Codreanu, & Νικόλαος Παππάς. (2020). Power minimization in wireless sensor networks with constrained AoI using stochastic optimization. University of Oulu Repository (University of Oulu).20 indexed citations
14.
Moltafet, Mohammad, Markus Leinonen, & Marian Codreanu. (2020). On the age of information in multi-source queueing models. University of Oulu Repository (University of Oulu).115 indexed citations
15.
Leinonen, Markus, et al.. (2020). Age-aware status update control for energy harvesting IoT sensors via reinforcement learning. University of Oulu Repository (University of Oulu).25 indexed citations
16.
Moltafet, Mohammad, Markus Leinonen, & Marian Codreanu. (2020). Average age of information for a multi-source M/M/1 queueing model with packet management. University of Oulu Repository (University of Oulu).30 indexed citations
17.
Leinonen, Markus & Marian Codreanu. (2020). Low-complexity vector quantized compressed sensing via deep neural networks. University of Oulu Repository (University of Oulu).5 indexed citations
18.
Leinonen, Markus, Marian Codreanu, & Georgios B. Giannakis. (2019). Compressed Sensing with Applications in Wireless Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 13(1-2). 1–282.15 indexed citations
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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