Danilo Babin

586 citations
38 papers · 355 indexed · h-index 12

Danilo Babin

33 papers receiving 345 citations

Peers

Danilo Babin
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 151
  • Computer Vision and Pattern Recognition 114
  • Cardiology and Cardiovascular Medicine 120
  • Health Informatics 5
  • Neurology 34
Replace Sara El Hadji with:
Sara El Hadji Italy
Iván Macía Spain
Rahil Shahzad Netherlands
Eva Nyktari United Kingdom
Fernando Vega-Higuera Germany
Ying Fang China
Karen López‐Linares Spain
Deepak R. Chittajallu United States
Kevin Ho‐Shon Australia
Nirvedh H. Meshram United States
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Citations per year

Countries citing papers authored by Danilo Babin

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Babin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20231
5 20231
6 20230
7 20226
8 202110
9 202011
10 20201
11 202030
12 202022
13 201816
14 201622
15 201327
16 201218
17 20122
18
Robust segmentation methods for aortic pulse wave velocity measurement
20111
19 20117
20 20097

About Danilo Babin

Danilo Babin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Neurology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 355 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Retinal Imaging and Analysis (7 papers), Cardiac Imaging and Diagnostics (5 papers), Advanced MRI Techniques and Applications (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Advanced Neural Network Applications (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (151 citations), Computer Vision and Pattern Recognition (114 citations), Cardiology and Cardiovascular Medicine (120 citations), Health Informatics (5 citations) and Neurology (34 citations). Danilo Babin has collaborated with scholars based in Belgium, Croatia and Serbia. Frequent co-authors include Irena Galić, Aleksandra Pižurica, Marija Habijan, Wilfried Philips, Ewout Vansteenkiste, Lazar Velicki, Vladimir Zlokolica, Luc Van Bortel, Ernst Rietzschel and Jonas De Vylder. Their work appears in journals such as Computers in Biology and Medicine, Medical Image Analysis, Scientific Reports, Orphanet Journal of Rare Diseases and Biomedical Optics Express.

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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