Hubert G. Bartels
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
- Co-authors
- Peter H. BartelsRodolfo MontironiD ThompsonJames Ranger‐MooreDavid S. AlbertsPeter W. HamiltonVinícius Duval da SilvaMarina Scarpelli
- Journals
- Cytometry (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)Cancer Prevention Research (2 papers)Blood (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Hubert G. Bartels
52 papers receiving 445 citations
Peers
Comparison fields: 5 of 80
- Biophysics 55
- Artificial Intelligence 128
- Oncology 105
- Dermatology 30
- Cancer Research 51
Countries citing papers authored by Hubert G. Bartels
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | High Proportion of Nuclear Phenotype Identifies Aggressive Cutaneous Squamous Cell Carcinoma. | 2015 | 1 |
| 3 | 2011 | 3 | |
| 4 | 2011 | 4 | |
| 5 | 2009 | 5 | |
| 6 | 2007 | 21 | |
| 7 | 2005 | 11 | |
| 8 | Second order discriminant analysis in chemopreventive efficacy measurement. | 2005 | 1 |
| 9 | Karyometry in rectal mucosa of patients with previous colorectal adenomas. | 2005 | 7 |
| 10 | 2002 | 13 | |
| 11 | 2002 | 11 | |
| 12 | 2001 | 13 | |
| 13 | 2000 | 23 | |
| 14 | 1999 | 14 | |
| 15 | 1995 | 17 | |
| 16 | Image segmentation of cribriform gland tissue. | 1995 | 11 |
| 17 | 1995 | 9 | |
| 18 | 1989 | 9 | |
| 19 | 1989 | 6 | |
| 20 | 1981 | 2 |
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.