Pavel Mašek

3.2k citations
118 papers · 2.0k indexed · h-index 27
Topics
IoT Networks and Protocols (36 papers)IoT and Edge/Fog Computing (28 papers)Advanced MIMO Systems Optimization (22 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
CzechiaFinlandRussia

In The Last Decade

Pavel Mašek

112 papers receiving 2.0k citations

Peers

Pavel Mašek
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 613
  • Cellular and Molecular Neuroscience 600
  • Computer Networks and Communications 598
  • Genetics 337
  • Ecology, Evolution, Behavior and Systematics 272
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Youngser Park United States
Chun Cao China
Koichi Hashimoto Japan
Audrey Dussutour France
Robert Brandt Germany
Ju-Yeon Jo United States
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Citations per field
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Youngser Park · 1×
Citations per year

Countries citing papers authored by Pavel Mašek

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Mašek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Mašek

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Mašek. A scholar is included among the top collaborators of Pavel Mašek 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 Pavel Mašek. Pavel Mašek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 7
4 3
5 1
6 1
7 13
8 13
9 38
10 66
11 8
12
Advanced Wireless M-Bus Platform for Intensive Field Testing in Industry 4.0-Based Systems
5
13 7
14 23
15
Wireless M-BUS in Industrial IoT: Technology Overview and Prototype Implementation
10
16 94
17 37
18 72
19 118
20 86

About Pavel Mašek

Pavel Mašek is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include IoT Networks and Protocols (36 papers), IoT and Edge/Fog Computing (28 papers) and Advanced MIMO Systems Optimization (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (600 citations), Aging (56 citations) and Endocrine and Autonomic Systems (214 citations). Pavel Mašek has collaborated with scholars based in Czechia, Finland and Russia. Frequent co-authors include Alex C. Keene, Jiří Hošek, Anne S. Leonard, Aleksandr Ometov, Yevgeni Koucheryavy, Sergey Andreev, Martin Štůsek, Kristin Scott, Radek Fujdiak and Kurtresha Worden. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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