Michael Albert

857 citations
26 papers · 708 · h-index 12

Impact in

Papers in

Michael Albert

26 papers receiving 686 citations

Peers

Michael Albert
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 377
  • Pulmonary and Respiratory Medicine 485
  • Artificial Intelligence 197
  • Biomedical Engineering 206
  • Radiation 31
Replace Alan H. Baydush with:
Alan H. Baydush United States
Subok Park United States
Oscar A. Debats Netherlands
Susanne Kheddache Sweden
Diksha Sharma United States
Pim A. de Jong Netherlands
Nico Lanconelli Italy
Robert L. Falk United States
Mathilde Marie Winkler Wille Denmark
Heber MacMahon United States
Michael Albert relative to Alan H. Baydush United States Alan H. Baydush's profile →
Citations per field
00.5×1.5×2×2.5×
Alan H. Baydush · 1×
Citations per year

Countries citing papers authored by Michael Albert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michael Albert, 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 Albert Line = papers co-authored together Michael Albert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002125
2 200783
3 200571
4 200270
5 199665
6 200354
7 200353
8 200040
9 200538
10 200631
11 200322
12 200316
13 20029
14 19987
15 20056
16 19966
17 20032
18 20022
19 20041
20 20031

About Michael Albert

Michael Albert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 26 papers that have together received 708 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (14 papers), Medical Imaging Techniques and Applications (9 papers), AI in cancer detection (7 papers), Advanced Image Fusion Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (4 papers), Breast Lesions and Carcinomas (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (377 citations), Pulmonary and Respiratory Medicine (485 citations), Artificial Intelligence (197 citations), Biomedical Engineering (206 citations) and Radiation (31 citations). Michael Albert has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Andrew D. A. Maidment, Pedrag Bakic, Dragana P. Brzakovic, Ann-Katherine Carton, Emily F. Conant, Mitchell D. Schnall, Ethan J. Halpern, Abba M Krieger, Charles E. Metz and Hilde Bosmans. Their work appears in journals such as Medical Physics, Academic Radiology, Journal of Surgical Oncology, IFAC-PapersOnLine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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