Bartels Ph

1.5k citations
132 papers · 1.3k · h-index 18

Impact in

Papers in

Bartels Ph

125 papers receiving 1k citations

Peers

Bartels Ph
Comparison fields: 5 of 85
  • Biophysics 451
  • Artificial Intelligence 559
  • Health Informatics 30
  • Health Information Management 73
  • Epidemiology 158
Replace Wied Gl with:
Wied Gl United States
George L. Wied United States
James V. Little United States
Yasunari Miyagi Japan
R. Di Paola France
André Huisman Netherlands
Marcial García‐Rojo Spain
Allen P. Miraflor United States
Hubert G. Bartels United States
Navid Farahani United States
Bartels Ph relative to Wied Gl United States Wied Gl's profile →
Citations per field
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Wied Gl · 1×
Citations per year

Countries citing papers authored by Bartels Ph

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bartels Ph Line = papers co-authored together Bartels Ph links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Taxonomic intra-cellular analytic system (TIICAS) for cell identification.
196861
2
Chromatin appearance in intermediate cells from patients with uterine cancer.
198139
3
Cell recognition from line scan transition probability profiles.
196927
4
Correlation between automated DNA ploidy measurements of Hürthle-cell tumors and their histopathologic and clinical features.
198626
5
Computer recognition of cell nuclei from the uterine cervix.
197324
6
Markers for malignancy in the nuclear texture of histologically normal tissue from patients with thyroid tumors.
198624
7
Cytoplasmic and nuclear shape analysis for computerized cell recognition.
197622
8
Cytomorphometric markers for uterine cancer in intermediate cells.
198022
9
Evaluation of prostatic intraepithelial neoplasia after treatment with a 5-alpha-reductase inhibitor (finasteride). A methodologic approach.
199622
10
Computer discriminant analysis of atypical urothelial cells.
197921
11
Karyometric features in nuclei near colonic adenocarcinoma. Statistical analysis.
199121
12
Clinical applications of Bayesian belief networks in pathology.
199520
13
Computer discrimination of T and B lymphocytes.
197519
14
Belief network for grading prostate lesions.
199319
15
Chromatin texture in high grade prostatic intraepithelial neoplasia and early invasive carcinoma.
199919
16
Karyometry and histometry of renal-cell carcinoma.
198718
17
Chromatin texture features in hematoxylin and eosin-stained prostate tissue.
199318
18
Prostatic intraepithelial neoplasia. Development of a Bayesian belief network for diagnosis and grading.
199418
19
Numerical evaluation of cytologic data. V. Bivariate distributions and the Bayesian decision Boundary.
198017
20
Evaluation of the Papanicolaou stain for computer assisted cellular pattern recognition.
197316

About Bartels Ph

Bartels Ph is a scholar working on Biophysics, Artificial Intelligence, Statistics and Probability, Epidemiology and Health Information Management, having authored 132 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (56 papers), Cell Image Analysis Techniques (46 papers), Cervical Cancer and HPV Research (26 papers), Statistical Methods and Applications (14 papers), Artificial Intelligence in Healthcare (10 papers), Clinical Laboratory Practices and Quality Control (6 papers), Digital Imaging for Blood Diseases (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). The work is most often cited by research in Biophysics (451 citations), Artificial Intelligence (559 citations), Health Informatics (30 citations), Health Information Management (73 citations) and Epidemiology (158 citations). Bartels Ph has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Wied Gl, Marluce Bibbo, Bahr Gf, Harvey E. Dytch, Rodolfo Montironi, D Thompson, H Galera-Davidson, Koss Lg, Frederick T. Pishotta and John R. Taylor. Their work appears in journals such as Acta Cytologica 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.

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