Harvey E. Dytch

32 papers receiving 761 citations

Peers

Harvey E. Dytch
Comparison fields: 5 of 110
  • Sensory Systems 82
  • Oncology 150
  • Biophysics 30
  • Ecology, Evolution, Behavior and Systematics 95
  • Cancer Research 71
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Citations per year

Countries citing papers authored by Harvey E. Dytch

Since Specialization
Citations

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

Fields of papers citing papers by Harvey E. Dytch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harvey E. Dytch. 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 Harvey E. Dytch. The network helps show where Harvey E. Dytch may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997258
2 198980
3 198966
4 200455
5 199137
6
Artificial neural networks and their use in quantitative pathology.
199030
7
Karyometric marker features in tissue adjacent to in situ cervical carcinomas.
198927
8 198725
9
Karyometric marker features in normal-appearing glands adjacent to human colonic adenocarcinoma.
199025
10
Importance of tumor morphology for the long term prognosis of rectal adenocarcinoma.
198822
11
Nuclear DNA analysis of insulinomas and gastrinomas.
198720
12
MicroTICAS. The design of an inexpensive video-based microphotometer/computer system for DNA ploidy studies.
198616
13 199216
14
Differential diagnosis between follicular adenoma and follicular carcinoma of the thyroid by marker features.
198615
15 199014
16 198912
17 200710
18 19909
19
Tissue architectural features for the grading of prostatic carcinoma.
19909
20
Histometric features for the grading of prostatic carcinoma.
19917

About Harvey E. Dytch

Harvey E. Dytch is a scholar working on Artificial Intelligence, Cancer Research, Oncology, Molecular Biology and Epidemiology, having authored 32 papers that have together received 793 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Cancer Genomics and Diagnostics (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cervical Cancer and HPV Research (3 papers), Cell Image Analysis Techniques (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Sensory Systems (82 citations), Oncology (150 citations), Biophysics (30 citations), Ecology, Evolution, Behavior and Systematics (95 citations) and Cancer Research (71 citations). Harvey E. Dytch has collaborated with scholars based in United States and Spain. Frequent co-authors include Marluce Bibbo, George L. Wied, Carole Ober, Peter H. Bartels, Donna D. Kostyu, Nancy J. Cox, Sherman Elias, L.R. Weitkamp, H Galera-Davidson and Anthony Montag. Their work appears in journals such as Cancer, American Journal of Clinical Pathology, The American Journal of Human Genetics, European Journal of Human Genetics and Histopathology.

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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