Jan Vrba

1.5k citations
84 papers · 933 indexed · h-index 18
Topics
Microwave Imaging and Scattering Analysis (38 papers)Wireless Body Area Networks (21 papers)Ultrasound and Hyperthermia Applications (16 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageAnnals of the New York Academy of Sciences

In The Last Decade

Jan Vrba

77 papers receiving 891 citations

Peers

Jan Vrba
Comparison fields: 5 of 93
  • Biomedical Engineering 439
  • Electrical and Electronic Engineering 255
  • Cognitive Neuroscience 224
  • Radiology, Nuclear Medicine and Imaging 131
  • Atomic and Molecular Physics, and Optics 116
Replace Jan Vrba with:
Jan Vrba Czechia
Yoshiaki Adachi Japan
Hartmut Brauer Germany
Markus E. Testorf United States
Y. Uchikawa Japan
Gen Uehara Japan
Yong‐Ho Lee South Korea
T.C. Pilkington United States
Samuel J. Williamson United States
Bongsoo Lee South Korea
Jan Vrba relative to Jan Vrba Czechia Jan Vrba's profile →
Citations per field
00.5×1.5×2.1×
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-authorship network of co-authors of Jan Vrba

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Vrba. A scholar is included among the top collaborators of Jan Vrba 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 Jan Vrba. Jan Vrba 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 0
2 0
3 16
4 3
5 8
6 2
7 7
8 24
9
2D Microwave System for Testing of Brain Stroke Imaging Algorithms
3
10 29
11 11
12
Non-invasive microwave lung water monitoring: Feasibility study
2
13
Temperature and Frequency Dependent Empirical Models of Dielectric Properties of Sunflower and Olive Oil
11
14 31
15 3
16 11
17 7
18 36
19 14
20 1

About Jan Vrba

Jan Vrba is a scholar working on Biomedical Engineering, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 84 papers that have together received 933 indexed citations. Recurring topics across this work include Microwave Imaging and Scattering Analysis (38 papers), Wireless Body Area Networks (21 papers) and Ultrasound and Hyperthermia Applications (16 papers). The work is most often cited by research in Cognitive Neuroscience (224 citations), Biomedical Engineering (439 citations) and Signal Processing (91 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 Paul R. Stauffer. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Annals of the New York Academy of Sciences.

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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