F. Baum

837 citations
23 papers · 611 · h-index 12

Impact in

Papers in

F. Baum

22 papers receiving 587 citations

Peers

F. Baum
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 244
  • Pulmonary and Respiratory Medicine 190
  • Obstetrics and Gynecology 44
  • Internal Medicine 18
  • Orthodontics 21
Replace Mahesh K. Shetty with:
Mahesh K. Shetty United States
Zhuozhi Chen China
Leslie R. Lamb United States
Richard Li United States
Chen‐Pin Chou Taiwan
Mitra Noroozian United States
Kristine S. Burk United States
S D Frankel United States
Robert McLelland United States
Giacomo Avesani Italy
F. Baum relative to Mahesh K. Shetty United States Mahesh K. Shetty's profile →
Citations per field
00.5×7.0×
Mahesh K. Shetty · 1×
Citations per year

Countries citing papers authored by F. Baum

Since Specialization
Citations

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

Fields of papers citing papers by F. Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002154
2 2002103
3 200273
4 200349
5 200239
6 200533
7 202130
8 200329
9 200116
10 200214
11 199713
12 202411
13 200110
14 20007
15 20056
16 20006
17 20244
18 20024
19 20034
20 20013

About F. Baum

F. Baum is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Internal Medicine and Epidemiology, having authored 23 papers that have together received 611 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Digital Radiography and Breast Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Sharing Economy and Platforms (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Digital Economy and Work Transformation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Pulmonary and Respiratory Medicine (190 citations), Obstetrics and Gynecology (44 citations), Internal Medicine (18 citations) and Orthodontics (21 citations). F. Baum has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include E. Grabbe, Urs Fischer, R. Vosshenrich, Silvia Obenauer, Susanne Luftner-Nagel, D. von Heyden, M. Funke, K.-P. Hermann, Katharina Marten and Ullrich Munzel. Their work appears in journals such as European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Critical Sociology, European Journal of Clinical Investigation and Clinical Radiology.

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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