G. Mathis

24 papers receiving 610 citations

Peers

G. Mathis
Comparison fields: 5 of 56
  • Critical Care and Intensive Care Medicine 519
  • Internal Medicine 72
  • Radiology, Nuclear Medicine and Imaging 291
  • Pulmonary and Respiratory Medicine 290
  • Anesthesiology and Pain Medicine 26
Replace Alessandro Lamorte with:
Alessandro Lamorte Italy
Giovanni Volpicelli Italy
Gebhard Mathis Germany
Valerio Stefanone Italy
Yale Tung‐Chen Spain
Francesca Caldi Italy
David F. Yankelevitz United States
Pia Iben Pietersen Denmark
Marc Lacrosse Belgium
Irene Tassinari Italy
G. Mathis relative to Alessandro Lamorte Italy Alessandro Lamorte's profile →
Citations per field
00.5×1.5×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 199596
3 201369
4 199345
5 199939
6 200934
7 199633
8 200530
9 200824
10 201724
11 200113
12 200811
13 19939
14 19918
15 20088
16 20048
17
[Lung and pleural ultrasound].
20017
18 19966
19
Ultrasound-guided diagnostic and therapeutic interventions in peripheral pulmonary masses.
19994
20 20063

About G. Mathis

G. Mathis is a scholar working on Critical Care and Intensive Care Medicine, Internal Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 28 papers that have together received 655 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (17 papers), Pleural and Pulmonary Diseases (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Medical Imaging and Pathology Studies (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Trauma Management and Diagnosis (3 papers), Atomic and Subatomic Physics Research (2 papers) and Otolaryngology and Infectious Diseases (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (519 citations), Internal Medicine (72 citations), Radiology, Nuclear Medicine and Imaging (291 citations), Pulmonary and Respiratory Medicine (290 citations) and Anesthesiology and Pain Medicine (26 citations). G. Mathis has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include O Gehmacher, Alfred W. Kopf, M Scheier, Giovanni Volpicelli, Paul H. Mayo, Maurizio Zanobetti, Francesco Mojoli, Roberto Copetti, Silvia Mongodi and Éric Maury. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Intensive Care Medicine, European Journal of Ultrasound, The American Journal of Surgical Pathology and Digestive Diseases.

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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