Bartels Ph
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- AI in cancer detection 36
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- Gene expression and cancer classification 5
- Co-authors
- Wied Gl (77 shared papers)Marluce Bibbo (53 shared papers)Bahr Gf (27 shared papers)Rodolfo Montironi (7 shared papers)D Thompson (8 shared papers)H Galera-Davidson (5 shared papers)Koss Lg (6 shared papers)Marina Scarpelli (3 shared papers)
- Journals
- Acta Cytologica (2 papers)Africa report (1 paper)Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) (1 paper)PubMed (122 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Bartels Ph
121 papers receiving 972 citations
Peers
Comparison fields: 5 of 107
- Biophysics 157
- Artificial Intelligence 356
- Computer Vision and Pattern Recognition 203
- Radiology, Nuclear Medicine and Imaging 137
- Health Information Management 27
Countries citing papers authored by Bartels Ph
This map shows the geographic impact of Bartels Ph'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 Bartels Ph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bartels Ph more than expected).
Fields of papers citing papers by Bartels Ph
This network shows the impact of papers produced by Bartels Ph. 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 Bartels Ph. The network helps show where Bartels Ph may publish in the future.
Co-authors
The 25 scholars most cited alongside Bartels Ph, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Taxonomic intra-cellular analytic system (TIICAS) for cell identification. | 1968 | 46 |
| 2 | Chromatin appearance in intermediate cells from patients with uterine cancer. | 1981 | 36 |
| 3 | Markers for malignancy in the nuclear texture of histologically normal tissue from patients with thyroid tumors. | 1986 | 24 |
| 4 | Correlation between automated DNA ploidy measurements of Hürthle-cell tumors and their histopathologic and clinical features. | 1986 | 23 |
| 5 | Karyometric features in nuclei near colonic adenocarcinoma. Statistical analysis. | 1991 | 21 |
| 6 | Computer recognition of cell nuclei from the uterine cervix. | 1973 | 20 |
| 7 | Cell recognition from line scan transition probability profiles. | 1969 | 20 |
| 8 | Cytoplasmic and nuclear shape analysis for computerized cell recognition. | 1976 | 19 |
| 9 | Clinical applications of Bayesian belief networks in pathology. | 1995 | 19 |
| 10 | Evaluation of prostatic intraepithelial neoplasia after treatment with a 5-alpha-reductase inhibitor (finasteride). A methodologic approach. | 1996 | 19 |
| 11 | Computer discrimination of T and B lymphocytes. | 1975 | 18 |
| 12 | Belief network for grading prostate lesions. | 1993 | 18 |
| 13 | Karyometry and histometry of renal-cell carcinoma. | 1987 | 18 |
| 14 | Cytomorphometric markers for uterine cancer in intermediate cells. | 1980 | 18 |
| 15 | Chromatin texture features in hematoxylin and eosin-stained prostate tissue. | 1993 | 17 |
| 16 | Prostatic intraepithelial neoplasia. Development of a Bayesian belief network for diagnosis and grading. | 1994 | 17 |
| 17 | Numerical evaluation of cytologic data. V. Bivariate distributions and the Bayesian decision Boundary. | 1980 | 17 |
| 18 | Chromatin texture in high grade prostatic intraepithelial neoplasia and early invasive carcinoma. | 1999 | 16 |
| 19 | Expert systems in histopathology. I. Introduction and overview. | 1989 | 16 |
| 20 | Intermediate cell markers for malignancy. Consistency of expression. | 1984 | 16 |
About Bartels Ph
Bartels Ph is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Biophysics and Epidemiology, having authored 126 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (36 papers), Digital Imaging for Blood Diseases (15 papers), Cell Image Analysis Techniques (13 papers), Cervical Cancer and HPV Research (8 papers), Colorectal Cancer Screening and Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Gene expression and cancer classification (5 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Biophysics (157 citations), Artificial Intelligence (356 citations), Computer Vision and Pattern Recognition (203 citations), Radiology, Nuclear Medicine and Imaging (137 citations) and Health Information Management (27 citations). Bartels Ph has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Wied Gl, Marluce Bibbo, Bahr Gf, Rodolfo Montironi, D Thompson, H Galera-Davidson, Koss Lg, Marina Scarpelli, John R. Taylor and Corrado Minimo. Their work appears in journals such as Acta Cytologica, Africa report, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) and PubMed.
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.