Gebhard Mathis

34 papers receiving 1.1k citations

Peers

Gebhard Mathis
Comparison fields: 5 of 60
  • Critical Care and Intensive Care Medicine 1.0k
  • Radiology, Nuclear Medicine and Imaging 557
  • Internal Medicine 85
  • Pulmonary and Respiratory Medicine 574
  • Anesthesiology and Pain Medicine 58
Replace Luciano Cardinale with:
Luciano Cardinale Italy
Giovanni Volpicelli Italy
Maurizio Bartolucci Italy
Alessandro Lamorte Italy
G. Mathis Austria
Chiara Gigli Italy
Valerio Stefanone Italy
Claudia Brusasco Italy
Peter Zechner Austria
D Artaud France
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Citations per year

Countries citing papers authored by Gebhard Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Gebhard Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012278
2 2005185
3 2016154
4 2015108
5 1997104
6 199758
7 202045
8 199343
9 200031
10 201629
11 202027
12 201424
13 201915
14 199614
15 200314
16 202011
17 201711
18 199610
19 20076
20 20156

About Gebhard Mathis

Gebhard Mathis is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Internal Medicine, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (27 papers), Radiation Dose and Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Radiology practices and education (7 papers), Pleural and Pulmonary Diseases (6 papers), Atomic and Subatomic Physics Research (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Ultrasound and Hyperthermia Applications (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.0k citations), Radiology, Nuclear Medicine and Imaging (557 citations), Internal Medicine (85 citations), Pulmonary and Respiratory Medicine (574 citations) and Anesthesiology and Pain Medicine (58 citations). Gebhard Mathis has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Angelika Reißig, Andreas Schüler, Christoph F. Dietrich, Xin‐Wu Cui, Stefano Aliberti, Rotraud Neumann, Wolfgang Blank, Peter Zechner, Roberto Copetti and Heike Hoyer. Their work appears in journals such as Ultrasound in Medicine & Biology, Ultraschall in der Medizin - European Journal of Ultrasound, CHEST Journal, Respiration and European Journal of 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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