Urs J. Muehlematter

2.3k citations
46 papers · 1.5k indexed · 1 hit paper · h-index 20

Urs J. Muehlematter

44 papers receiving 1.5k citations

Hit Papers

Approval of artificial intelligence and machine learning-...3732021202620222024100200300

Peers

Urs J. Muehlematter
Comparison fields: 5 of 102
  • Health Informatics 289
  • Radiology, Nuclear Medicine and Imaging 749
  • Pulmonary and Respiratory Medicine 705
  • Medical Laboratory Technology 25
  • Health Information Management 50
Replace Maarten de Rooij with:
Maarten de Rooij Netherlands
Christoph Wald United States
Valeria Romeo Italy
Matthew J. Nyflot United States
Masahiro Yanagawa Japan
Lorenzo Faggioni Italy
Grace Hyun J. Kim United States
Roberto Cannella Italy
Yusuke Matsui Japan
Mishal Mendiratta‐Lala United States
Urs J. Muehlematter relative to Maarten de Rooij Netherlands Maarten de Rooij's profile →
Citations per field
00.5×3.6×
Maarten de Rooij · 1×
Citations per year

Countries citing papers authored by Urs J. Muehlematter

Since Specialization
Citations

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

Fields of papers citing papers by Urs J. Muehlematter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs J. Muehlematter. 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 Urs J. Muehlematter. The network helps show where Urs J. Muehlematter may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20246
5 20242
6 202363
7 20221
8 202137
9 202010
10 202017
11 20192
12 201987
13 201921
14 201911
15 201977
16 201832
17 20182
18 201884
19 201810
20 201894

About Urs J. Muehlematter

Urs J. Muehlematter is a scholar working on Health Informatics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (16 papers), Prostate Cancer Diagnosis and Treatment (15 papers), Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Urologic and reproductive health conditions (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Health Informatics (289 citations), Radiology, Nuclear Medicine and Imaging (749 citations) and Pulmonary and Respiratory Medicine (705 citations). Urs J. Muehlematter has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Kerstin Noëlle Vokinger, Paola Daniore, Irene A. Burger, Daniel Eberli, Daniela A. Ferraro, Julian Müller, Anton S. Becker, Niels J. Rupp, Martin W. Huellner and Philipp A. Kaufmann. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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