Michael Riben

25 papers receiving 650 citations

Peers

Michael Riben
Comparison fields: 5 of 93
  • Health Informatics 38
  • Reproductive Medicine 89
  • Biophysics 49
  • Obstetrics and Gynecology 66
  • Artificial Intelligence 241
Replace Ioannis Panayiotides with:
Ioannis Panayiotides Greece
Francesca Arezzo Italy
Tarjei S. Hveem Norway
Andrey Bychkov Japan
Michelle Perugini Australia
Niki Margari Greece
Manohar Pradhan Norway
Luiza Moore United Kingdom
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Citations per year

Countries citing papers authored by Michael Riben

Since Specialization
Citations

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

Fields of papers citing papers by Michael Riben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Riben. 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 Michael Riben. The network helps show where Michael Riben may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996135
2 2021111
3 201476
4 201859
5 200554
6
Identification of HER-2/neu oncogene amplification by fluorescence in situ hybridization in stage I endometrial carcinoma.
199746
7 201132
8 201925
9 201624
10 201619
11 201614
12 201013
13 201410
14 201710
15 20168
16 20157
17
Fungal fruiting bodies in a Pap smear: contamination or infection?
20067
18 19985
19
Aligning tissue banking data models for caBIG interoperability.
20084
20 19992

About Michael Riben

Michael Riben is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Physiology, having authored 25 papers that have together received 669 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Biomedical Text Mining and Ontologies (7 papers), Radiology practices and education (5 papers), Clinical Laboratory Practices and Quality Control (4 papers), Scientific Computing and Data Management (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Electronic Health Records Systems (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Health Informatics (38 citations), Reproductive Medicine (89 citations), Biophysics (49 citations), Obstetrics and Gynecology (66 citations) and Artificial Intelligence (241 citations). Michael Riben has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Liron Pantanowitz, A. O. Ilesanmi, Kristof Chwalisż, Bruce A. Lessey, Jocelyn E. Harris, Andrew Evans, Anil V. Parwani, Walter H. Henricks, Marilyn M. Bui and Elizabeth A. Chlipala. Their work appears in journals such as Journal of Pathology Informatics, Archives of Pathology & Laboratory Medicine, Telemedicine Journal and e-Health, The Annals of Thoracic Surgery and Pathobiology.

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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