Jan Vrba

1.5k citations
83 papers · 952 · h-index 19

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Microwave Imaging and Scattering Analysis
    • Wireless Body Area Networks
    • Ultrasound and Hyperthermia Applications

Papers in

Jan Vrba

77 papers receiving 912 citations

Peers

Jan Vrba
Comparison fields: 5 of 91
  • Cognitive Neuroscience 200
  • Biomedical Engineering 437
  • Signal Processing 77
  • Biophysics 37
  • Radiology, Nuclear Medicine and Imaging 122
Replace Jan Vrba with:
Jan Vrba Czechia
Hartmut Brauer Germany
Markus E. Testorf United States
Yoshiaki Adachi Japan
T.C. Pilkington United States
Richard McFee United States
Samuel J. Williamson United States
Y. Uchikawa Japan
Bongsoo Lee South Korea
Christian Heinrich France
Jan Vrba relative to Jan Vrba Czechia Jan Vrba's profile →
Citations per field
00.5×2.7×
Jan Vrba · 1×
Citations per year

Countries citing papers authored by Jan Vrba

Since Specialization
Citations

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

Fields of papers citing papers by Jan Vrba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200273
2 201965
3 200262
4 201547
5 199345
6 202244
7 200636
8 201536
9 201332
10 201632
11 201831
12 201730
13 202128
14 202124
15
How many channels are needed for MEG?
200422
16 202319
17 201919
18 200718
19 200218
20 201416

About Jan Vrba

Jan Vrba is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Signal Processing, having authored 83 papers that have together received 952 indexed citations. Recurring topics across this work include Microwave Imaging and Scattering Analysis (38 papers), Wireless Body Area Networks (21 papers), Ultrasound and Hyperthermia Applications (15 papers), Microwave and Dielectric Measurement Techniques (12 papers), Blind Source Separation Techniques (9 papers), Ultrasound Imaging and Elastography (8 papers), Antenna Design and Analysis (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cognitive Neuroscience (200 citations), Biomedical Engineering (437 citations), Signal Processing (77 citations), Biophysics (37 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Jan Vrba has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include David Vrba, Stephen E. Robinson, Ondřej Fišer, Marco Salucci, Ilja Merunka, J. Adam McCubbin, Andrea Massa, Tomas Drizdal, Jakub Karch and Dário B. Rodrigues. Their work appears in journals such as Sensors, IEEE Transactions on Antennas and Propagation, International Journal of Hyperthermia, Physics in Medicine and Biology and Microwave and Optical Technology Letters.

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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