Lukáš Danys

504 citations
33 papers · 349 · h-index 11

Impact in

Papers in

Lukáš Danys

29 papers receiving 340 citations

Peers

Lukáš Danys
Comparison fields: 5 of 62
  • Electrical and Electronic Engineering 184
  • Cardiology and Cardiovascular Medicine 62
  • Industrial and Manufacturing Engineering 32
  • Control and Systems Engineering 58
  • Biomedical Engineering 54
Replace G S Vijay with:
G S Vijay India
Maisam Wahbah United Arab Emirates
P. Saiz Spain
Nitish Katal India
Youssef El Hassouani Morocco
Mindaugas Žilys Lithuania
Zazilah May Malaysia
Dangirutis Navikas Lithuania
Chengchao Wang China
Dongxing Chen China
Lukáš Danys relative to G S Vijay India G S Vijay's profile →
Citations per field
00.5×8.9×
G S Vijay · 1×
Citations per year

Countries citing papers authored by Lukáš Danys

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Danys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lukáš Danys, 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 Lukáš Danys Line = papers co-authored together Lukáš Danys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202243
2 201942
3 201941
4 202035
5 202232
6 202223
7 202023
8 202214
9 202014
10 202013
11 202210
12 20198
13 20226
14 20216
15 20215
16 20195
17 20194
18 20194
19 20253
20 20193

About Lukáš Danys

Lukáš Danys is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Global and Planetary Change, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 33 papers that have together received 349 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (14 papers), Power Line Communications and Noise (7 papers), Semiconductor Lasers and Optical Devices (6 papers), Power Quality and Harmonics (5 papers), Impact of Light on Environment and Health (5 papers), ECG Monitoring and Analysis (4 papers), Blind Source Separation Techniques (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (184 citations), Cardiology and Cardiovascular Medicine (62 citations), Industrial and Manufacturing Engineering (32 citations), Control and Systems Engineering (58 citations) and Biomedical Engineering (54 citations). Lukáš Danys has collaborated with scholars based in Czechia, Poland and Brazil. Frequent co-authors include Radek Martínek, René Jaroš, Petr Bilík, Jiří Koziorek, Aleksandra Kawala‐Sterniuk, Michaela Šidiková, Martina Ládrová, Petr Koudelka, Erik Kajáti and Iveta Zolotová. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement, Computers, materials & continua/Computers, materials & continua (Print), Artificial Intelligence Review and Frontiers in Bioengineering and Biotechnology.

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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