Hubert G. Bartels

52 papers receiving 444 citations

Peers

Hubert G. Bartels
Comparison fields: 5 of 77
  • Biophysics 45
  • Artificial Intelligence 111
  • Oncology 78
  • Radiology, Nuclear Medicine and Imaging 65
  • Cancer Research 40
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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

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chromatin texture signatures in nuclei from prostate lesions.
199840
2
Nuclear chromatin texture in prostatic lesions. I. PIN and adenocarcinoma.
199826
3 200725
4 200023
5 200723
6 200721
7 199517
8 201516
9
Knowledge-guided segmentation of colorectal histopathologic imagery.
199316
10
Progression of skin lesions from normal skin to squamous cell carcinoma.
200915
11 199914
12 200113
13 200213
14 200211
15
Image segmentation of cribriform gland tissue.
199511
16 200511
17 201110
18 200710
19
[Proliferation marker Ki-67: correlation with histological diagnosis, neoplasm grading and clinical course].
198610
20 19959

About Hubert G. Bartels

Hubert G. Bartels is a scholar working on Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 52 papers that have together received 459 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Nonmelanoma Skin Cancer Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Urologic and reproductive health conditions (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Biophysics (45 citations), Artificial Intelligence (111 citations), Oncology (78 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Cancer Research (40 citations). Hubert G. Bartels has collaborated with scholars based in United States, Italy and Brazil. 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 Cancer Epidemiology Biomarkers & Prevention, Cytometry, Cancer Prevention Research, Modern Pathology 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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