N. Mutz

74 papers receiving 1.9k citations

Peers

N. Mutz
Comparison fields: 5 of 93
  • Critical Care and Intensive Care Medicine 539
  • Emergency Medicine 405
  • Anesthesiology and Pain Medicine 197
  • Pulmonary and Respiratory Medicine 1.0k
  • Nephrology 72
Replace Hideaki Imanaka with:
Hideaki Imanaka Japan
Frederick A. Burrows Canada
M. Dambrosio Italy
Nicholas G. Bircher United States
P Nikki Finland
Maurizio Chiaranda Italy
Peter Rock United States
Parthak Prodhan United States
Jean-Luc Fellahi France
Maureen McCunn United States
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Citations per field
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Hideaki Imanaka · 1×
Citations per year

Countries citing papers authored by N. Mutz

Since Specialization
Citations

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

Fields of papers citing papers by N. Mutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001422
2 1999295
3 2001199
4 1996148
5 200185
6 200081
7
Biphasic positive airway pressure (BIPAP)--a new mode of ventilatory support.
199476
8 200174
9 200273
10 199768
11 200454
12 200339
13 199737
14 199435
15 200028
16 200124
17 199523
18 198322
19
[Inversed ratio ventilation (IRV). Role of the respiratory time ratio in artificial respiration in ARDS].
198021
20 199918

About N. Mutz

N. Mutz is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Surgery, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (27 papers), Airway Management and Intubation Techniques (9 papers), Cardiac Arrest and Resuscitation (8 papers), Anesthesia and Sedative Agents (7 papers), Neonatal Respiratory Health Research (5 papers), Mechanical Circulatory Support Devices (4 papers), Biomedical and Chemical Research (4 papers) and Intensive Care Unit Cognitive Disorders (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (539 citations), Emergency Medicine (405 citations), Anesthesiology and Pain Medicine (197 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Nephrology (72 citations). N. Mutz has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christian Putensen, Jörg Zinserling, Gabriele Putensen-Himmer, Andreas Mayr, Hermann Wrigge, Frank Stüber, Hans Knotzer, Hanno Ulmer, Wolfgang Schobersberger and Walter Hasibeder. Their work appears in journals such as Critical Care Medicine, Intensive Care Medicine, American Journal of Respiratory and Critical Care Medicine, British Journal of Anaesthesia and Acta Anaesthesiologica Scandinavica.

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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