Roman D. Buelow

1.1k citations
8 papers · 192 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)AI in cancer detection (3 papers)Artificial Intelligence in Healthcare and Education (2 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology

In The Last Decade

Roman D. Buelow

8 papers receiving 189 citations

Peers

Roman D. Buelow
Comparison fields: 5 of 54
  • Artificial Intelligence 109
  • Radiology, Nuclear Medicine and Imaging 85
  • Oncology 47
  • Computer Vision and Pattern Recognition 31
  • Cancer Research 28
Replace Igor Odintsov with:
Igor Odintsov United States
Ayesha Azam United Kingdom
Omar S. M. El Nahhas Germany
Birgid Schömig‐Markiefka Germany
Wei-Hsiang Yu Taiwan
Kyunghyun Paeng South Korea
Juan Antonio Retámero Spain
Nicholas Meti Canada
Asmaa Ibrahim Egypt
Marko van Treeck Germany
Roman D. Buelow relative to Igor Odintsov United States Igor Odintsov's profile →
Citations per field
00.5×11.6×
Igor Odintsov · 1×
Citations per year

Countries citing papers authored by Roman D. Buelow

Since Specialization
Citations

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

Fields of papers citing papers by Roman D. Buelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman D. Buelow. 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 Roman D. Buelow. The network helps show where Roman D. Buelow may publish in the future.

Co-authorship network of co-authors of Roman D. Buelow

This figure shows the co-authorship network connecting the top 25 collaborators of Roman D. Buelow. A scholar is included among the top collaborators of Roman D. Buelow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman D. Buelow. Roman D. Buelow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 21
2 2
3 10
4 53
5 6
6 51
7 33
8 16

About Roman D. Buelow

Roman D. Buelow is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 8 papers that have together received 192 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Artificial Intelligence (109 citations). Roman D. Buelow has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Peter Boor, Jakob Nikolas Kather, Narmin Ghaffari Laleh, Amelie Echle, Heike I. Grabsch, Titus J. Brinker, Marko van Treeck, Philip Quirke, Christian Trautwein and Volkmar Schulz. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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