Hubert S. Gabryś

1.1k citations
26 papers · 651 indexed · 1 hit paper · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (18 papers)Advanced X-ray and CT Imaging (6 papers)Advanced Radiotherapy Techniques (4 papers)
Partner nations
SwitzerlandGermanyNorway

In The Last Decade

Hubert S. Gabryś

21 papers receiving 650 citations

Hit Papers

Development of the open-source dose calculation and optim...2017202620202023201750100150200

Peers

Hubert S. Gabryś
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 394
  • Pulmonary and Respiratory Medicine 346
  • Radiation 286
  • Biomedical Engineering 119
  • Oncology 99
Replace Tingliang Zhuang with:
Tingliang Zhuang United States
Tomas Janssen Netherlands
H. Geng United States
Poonam Yadav United States
Seung Yeun Chung South Korea
Joseph H. Killoran United States
Shahreen Ahmad United Kingdom
L. Widesott Italy
M. Fusella Italy
Dong Joo Rhee United States
Hubert S. Gabryś relative to Tingliang Zhuang United States Tingliang Zhuang's profile →
Citations per field
00.5×1.5×2.4×
Tingliang Zhuang · 1×
Citations per year

Countries citing papers authored by Hubert S. Gabryś

Since Specialization
Citations

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

Fields of papers citing papers by Hubert S. Gabryś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hubert S. Gabryś. 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 Hubert S. Gabryś. The network helps show where Hubert S. Gabryś may publish in the future.

Co-authorship network of co-authors of Hubert S. Gabryś

This figure shows the co-authorship network connecting the top 25 collaborators of Hubert S. Gabryś. A scholar is included among the top collaborators of Hubert S. Gabryś 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 Hubert S. Gabryś. Hubert S. Gabryś 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 0
4 0
5 4
6 2
7 4
8 0
9 4
10 5
11 22
12 5
13 55
14 1
15 69
16 3
17 5
18 53
19 126
20 13

About Hubert S. Gabryś

Hubert S. Gabryś is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Otorhinolaryngology, having authored 26 papers that have together received 651 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (6 papers) and Advanced Radiotherapy Techniques (4 papers). The work is most often cited by research in Radiation (286 citations), Radiology, Nuclear Medicine and Imaging (394 citations) and Otorhinolaryngology (67 citations). Hubert S. Gabryś has collaborated with scholars based in Switzerland, Germany and Norway. Frequent co-authors include Mark Bangert, Henrik Hauswald, Florian Buettner, Florian Sterzing, Stephanie Tanadini‐Lang, Matthias Gückenberger, Diem Vuong, Marta Bogowicz, Matea Pavic and Martin W. Huellner. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of the Rheumatic Diseases.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026