Andreas Mayr

253 papers receiving 6.0k citations

Peers

Andreas Mayr
Comparison fields: 5 of 202
  • Critical Care and Intensive Care Medicine 474
  • Statistics and Probability 484
  • Rehabilitation 340
  • Emergency Medicine 480
  • Nephrology 293
Replace Matteo Bottai with:
Matteo Bottai Sweden
Yasuo Ohashi Japan
Xin Sun China
Charles S. Davis United States
James Burke United States
Yan Yan United States
Kehu Yang China
David Gagnon United States
Yen‐Fu Chen Taiwan
Yutaka Yasui United States
Andreas Mayr relative to Matteo Bottai Sweden Matteo Bottai's profile →
Citations per field
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Matteo Bottai · 1×
Citations per year

Countries citing papers authored by Andreas Mayr

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003351
2 2007280
3 2014251
4 2005190
5 2001185
6 2012179
7 2003168
8 2008139
9 2014136
10 2012101
11 201696
12 201795
13 200688
14 200285
15 201480
16 200179
17 200078
18 200976
19 199971
20 200269

About Andreas Mayr

Andreas Mayr is a scholar working on Organic Chemistry, Statistics and Probability, Inorganic Chemistry, Surgery and Pulmonary and Respiratory Medicine, having authored 259 papers that have together received 6.2k indexed citations. Recurring topics across this work include Organometallic Complex Synthesis and Catalysis (35 papers), Statistical Methods and Inference (29 papers), Pregnancy and preeclampsia studies (19 papers), Sepsis Diagnosis and Treatment (14 papers), Statistical Methods and Bayesian Inference (13 papers), Hemodynamic Monitoring and Therapy (12 papers), Eating Disorders and Behaviors (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (11 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (474 citations), Statistics and Probability (484 citations), Rehabilitation (340 citations), Emergency Medicine (480 citations) and Nephrology (293 citations). Andreas Mayr has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Matthias Schmid, Walter Hasibeder, Hanno Ulmer, Martin W. Dünser, Hans Knotzer, Olaf Gefeller, Benjamin Hofner, Werner Pajk, Harald Binder and Barbara Friesenecker. Their work appears in journals such as Journal of Organometallic Chemistry, Ultraschall in der Medizin - European Journal of Ultrasound, Critical Care Medicine, Inorganica Chimica Acta and PLoS ONE.

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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