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Researcher · Radboud University Nijmegen · Netherlands

Ritse M. Mann

Ritse M. Mann publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Digital Radiography and Breast Imaging.

ORCID 0000-0001-8111-1930 OpenAlex
World rank
#77,344
of 7,710,434 ranked researchers
Rank in Netherlands
#1,740
of 107,149
Works
407
Citations
18k
Citations per work
45.3
h-index
68
i10-index 180Top 0.8% in Radiology, Nuclear Medicine and Imaging
Ritse M. Mann

What does Ritse M. Mann research?

Ritse M. Mann's work is mostly in Medicine (58%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (8%).

Health Sciences: 237 works · 58.2% of their workMedicine: 237 works · 58.2% of their workRadiology, Nuclear Medicine and Imaging: 133 works · 32.6% of their workPulmonary and Respiratory Medicine: 46 works · 11.4% of their workOncology: 30 works · 7.4% of their workPathology and Forensic Medicine: 28 works · 6.8% of their workEverything else: 78 works · 19.1% of their workPhysical Sciences: 59 works · 14.5% of their workComputer Science: 59 works · 14.5% of their workArtificial Intelligence: 59 works · 14.5% of their workLife Sciences: 33 works · 8.2% of their workBiochemistry, Genetics and Molecular Biology: 33 works · 8.2% of their workCancer Research: 33 works · 8.2% of their workTHEIR WORKRitse M. Mann407works
Life Sciences8%Physical Sciences14%Health Sciences58%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine23758.2%
  2. Everything else7819.1%
    1. Computer Science5914.5%
    1. Biochemistry, Genetics and Molecular Biology338.2%
  1. 1Radiology, Nuclear Medicine and Imaging33% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Pulmonary and Respiratory Medicine11% of their works
  4. 4Cancer Research8% of their works
  5. 5Oncology7% of their works
  6. 6Pathology and Forensic Medicine7% of their works

Research topics

Which keywords describe Ritse M. Mann's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Image Analysis, Medical Imaging, Radiomics, Digital Mammography, Mammographic Density and Breast MRI.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Machine Learning2772 topics
  2. Deep Learning1511 topic
  3. Medical Image Analysis1511 topic
  4. Medical Imaging1261 topic
  5. Radiomics1261 topic
  6. Digital Mammography1151 topic
  7. Mammographic Density1151 topic
  8. Breast MRI1121 topic
  9. Diffusion-Weighted Imaging1121 topic
  10. Breast Tumours861 topic
  11. Gene Expression861 topic
  12. Breast Cancer741 topic
  13. Mammography741 topic
  14. Cancer Incidence521 topic
  15. Mortality Rates521 topic
  16. Imaging431 topic
  17. PET/CT431 topic

Where does Ritse M. Mann work?

Ritse M. Mann's main affiliation in the publication record is Radboud University Nijmegen, Netherlands.

How many publications and citations does Ritse M. Mann have?

OpenAlex counts 407 works and 18,457 citations for Ritse M. Mann, an h-index of 68, ranking #77,344 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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