G. Mathis

26 papers receiving 709 citations

Peers

G. Mathis
Comparison fields: 5 of 50
  • Critical Care and Intensive Care Medicine 579
  • Internal Medicine 62
  • Pulmonary and Respiratory Medicine 310
  • Radiology, Nuclear Medicine and Imaging 212
  • Surgery 180
Replace Alessandro Lamorte with:
Alessandro Lamorte Italy
Gebhard Mathis Germany
Chiara Gigli Italy
Giovanni Volpicelli Italy
Sheila D. Davis United States
Valerio Stefanone Italy
Yale Tung‐Chen Spain
Stefan P. Lemburg Germany
Marc Lacrosse Belgium
Dipak Shah United States
G. Mathis relative to Alessandro Lamorte Italy Alessandro Lamorte's profile →
Citations per field
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Alessandro Lamorte · 1×
Citations per year

Countries citing papers authored by G. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by G. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019183
2 1995120
3 201384
4 199353
5 199949
6 200546
7 200940
8 199633
9 200831
10 200126
11 201724
12 200818
13 200812
14 199311
15 20069
16 19918
17 20048
18
[Lung and pleural ultrasound].
20017
19 19966
20
Ultrasound-guided diagnostic and therapeutic interventions in peripheral pulmonary masses.
19995

About G. Mathis

G. Mathis is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Surgery, Infectious Diseases and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 790 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (19 papers), Lung Cancer Diagnosis and Treatment (8 papers), Pleural and Pulmonary Diseases (5 papers), Trauma Management and Diagnosis (4 papers), Medical Imaging and Pathology Studies (3 papers), Atomic and Subatomic Physics Research (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Otolaryngology and Infectious Diseases (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (579 citations), Internal Medicine (62 citations), Pulmonary and Respiratory Medicine (310 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Surgery (180 citations). G. Mathis has collaborated with scholars based in Germany, Austria and Estonia. Frequent co-authors include O Gehmacher, Alfred W. Kopf, M Scheier, Giovanni Volpicelli, Paul H. Mayo, Éric Maury, Maurizio Zanobetti, Silvia Mongodi, Francesco Mojoli and David Feller‐Kopman. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, European Journal of Ultrasound, Intensive Care Medicine, American Journal of Veterinary Research and The American Journal of Surgical Pathology.

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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