Florian Auer

2.6k citations
26 papers · 1.1k indexed · h-index 14

Impact in

Papers in

Florian Auer

22 papers receiving 1.1k citations

Peers

Florian Auer
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 334
  • Pathology and Forensic Medicine 239
  • Health Informatics 15
  • Internal Medicine 37
  • Surgery 301
Replace Stefan Steurer with:
Stefan Steurer Germany
Kyosuke Yamada Japan
T. Gade United States
Jair Bar Israel
Desheng Sun China
Nan Wu China
Fei Hua United States
Yunuo Zhao China
Shulin Wu United States
Florian Auer relative to Stefan Steurer Germany Stefan Steurer's profile →
Citations per field
00.5×3.8×
Stefan Steurer · 1×
Citations per year

Countries citing papers authored by Florian Auer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Auer, 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 Florian Auer Line = papers co-authored together Florian Auer 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 2012266
2 2013220
3 2005134
4 2012104
5 202170
6 200455
7 201351
8 200435
9 200735
10 201033
11 200628
12 200727
13 202214
14 201413
15 200910
16 201710
17 20107
18 20225
19 20073
20 20222

About Florian Auer

Florian Auer is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Information Systems and Management and Neurology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Gene expression and cancer classification (4 papers), Radiology practices and education (3 papers), Advanced Radiotherapy Techniques (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (334 citations), Pathology and Forensic Medicine (239 citations), Health Informatics (15 citations), Internal Medicine (37 citations) and Surgery (301 citations). Florian Auer has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Katharina Marten, Christoph Engelke, Carsten Stüer, Bernhard Meyer, Alexander Preuß, Andreas Reinke, Florian Ringel, Michael Stoffel, Ernst J. Rummeny and Michaël Behr. Their work appears in journals such as European Radiology, Strahlentherapie und Onkologie, Biological Psychiatry, Clinical Radiology and Cell 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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