Hubert G. Bartels

52 papers receiving 445 citations

Peers

Hubert G. Bartels
Comparison fields: 5 of 80
  • Biophysics 55
  • Artificial Intelligence 128
  • Oncology 105
  • Dermatology 30
  • Cancer Research 51
Replace Szczepan Cierniak with:
Szczepan Cierniak Poland
Wijan Prapong United States
Shinichi Tsuchiya Japan
Darius Dasevičius Lithuania
Emiko Taniguchi Japan
Lluís E. Pons Spain
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Citations per field
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Citations per year

Countries citing papers authored by Hubert G. Bartels

Since Specialization
Citations

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

Fields of papers citing papers by Hubert G. Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20162
2
High Proportion of Nuclear Phenotype Identifies Aggressive Cutaneous Squamous Cell Carcinoma.
20151
3 20113
4 20114
5 20095
6 200721
7 200511
8
Second order discriminant analysis in chemopreventive efficacy measurement.
20051
9
Karyometry in rectal mucosa of patients with previous colorectal adenomas.
20057
10 200213
11 200211
12 200113
13 200023
14 199914
15 199517
16
Image segmentation of cribriform gland tissue.
199511
17 19959
18 19899
19 19896
20 19812

About Hubert G. Bartels

Hubert G. Bartels is a scholar working on Dermatology, Biophysics, Artificial Intelligence, Oncology and Cancer Research, having authored 52 papers that have together received 459 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (5 papers), Cutaneous Melanoma Detection and Management (5 papers), Nonmelanoma Skin Cancer Studies (5 papers), Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Biophysics (55 citations), Artificial Intelligence (128 citations), Oncology (105 citations), Dermatology (30 citations) and Cancer Research (51 citations). Hubert G. Bartels has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Peter H. Bartels, Rodolfo Montironi, D Thompson, James Ranger‐Moore, David S. Alberts, Peter W. Hamilton, Vinícius Duval da Silva, Marina Scarpelli, Janine G. Einspahr and Jennifer K. Barton. Their work appears in journals such as Cytometry, Cancer Epidemiology Biomarkers & Prevention, Cancer Prevention Research, Blood and The Prostate.

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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2026