Radomí­r Chabiniok

1.6k citations
43 papers · 978 indexed · h-index 15

Radomí­r Chabiniok

42 papers receiving 968 citations

Peers

Radomí­r Chabiniok
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 644
  • Radiology, Nuclear Medicine and Imaging 270
  • Biomedical Engineering 377
  • Fluid Flow and Transfer Processes 30
  • Surgery 204
Replace Nan Xiao with:
Nan Xiao United States
Nic Smith United Kingdom
Anton J. Prassl Austria
Tiziano Passerini United States
Marco Fedele Italy
Adam Updegrove United States
Cristóbal Bertoglio Netherlands
Brooke N. Steele United States
Sergey Simakov Russia
Andrew Cookson United Kingdom
Radomí­r Chabiniok relative to Nan Xiao United States Nan Xiao's profile →
Citations per field
00.5×
Nan Xiao · 1×
Citations per year

Countries citing papers authored by Radomí­r Chabiniok

Since Specialization
Citations

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

Fields of papers citing papers by Radomí­r Chabiniok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20235
4 20239
5 20213
6 20215
7 20214
8 20208
9 202013
10 202013
11 201814
12 2016166
13 201557
14 201441
15
Segmentation of MRI data by means of nonlinear diffusion
20131
16 201323
17 201331
18 20136
19 2011148
20 201175

About Radomí­r Chabiniok

Radomí­r Chabiniok is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Fluid Flow and Transfer Processes, having authored 43 papers that have together received 978 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (17 papers), Advanced MRI Techniques and Applications (12 papers), Elasticity and Material Modeling (12 papers), Cardiac Valve Diseases and Treatments (8 papers), Congenital Heart Disease Studies (7 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiac Structural Anomalies and Repair (7 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (644 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Biomedical Engineering (377 citations). Radomí­r Chabiniok has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include David Nordsletten, Jack Lee, Dominique Chapelle, Philippe Moireau, Reza Razavi, Myrianthi Hadjicharalambous, Liya Asner, C. Michler, Nicolas P. Smith and Andrew Cookson.

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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