Michael R. Mathis

72 papers receiving 1.6k citations

Peers

Michael R. Mathis
Comparison fields: 5 of 126
  • Anesthesiology and Pain Medicine 579
  • Health Informatics 49
  • Critical Care and Intensive Care Medicine 167
  • Cardiology and Cardiovascular Medicine 675
  • Emergency Medicine 168
Replace Teus H. Kappen with:
Teus H. Kappen Netherlands
Ho Geol Ryu South Korea
Robert E. Freundlich United States
Denise P. Veelo Netherlands
Christian S. Meyhoff Denmark
Jacek B. Cywiński United States
Reitze Rodseth South Africa
Sergi Sabaté Spain
Filippo Sanfilippo Italy
Hongying Ni China
Michael R. Mathis relative to Teus H. Kappen Netherlands Teus H. Kappen's profile →
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Teus H. Kappen · 1×
Citations per year

Countries citing papers authored by Michael R. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 2019150
3 2018148
4 2011120
5 2012101
6 201988
7 202079
8 201378
9 201662
10 202256
11 202135
12 201329
13 201926
14 202226
15 202225
16 201925
17 201723
18 202021
19 202020
20 202020

About Michael R. Mathis

Michael R. Mathis is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Health Informatics and Nephrology, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (42 papers), Hemodynamic Monitoring and Therapy (15 papers), Airway Management and Intubation Techniques (14 papers), Respiratory Support and Mechanisms (14 papers), Anesthesia and Sedative Agents (8 papers), Acute Kidney Injury Research (8 papers), Tracheal and airway disorders (6 papers) and Cardiac Arrest and Resuscitation (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (579 citations), Health Informatics (49 citations), Critical Care and Intensive Care Medicine (167 citations), Cardiology and Cardiovascular Medicine (675 citations) and Emergency Medicine (168 citations). Michael R. Mathis has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Sachin Kheterpal, Amy Shanks, Kevin K. Tremper, Satya Krishna Ramachandran, Douglas A. Colquhoun, Milo Engoren, Leif Saager, Michelle T. Vaughn, Michelle Morris and Robert E. Freundlich. Their work appears in journals such as Anesthesiology, Anesthesia & Analgesia, British Journal of Anaesthesia, Journal of Cardiothoracic and Vascular Anesthesia and Journal of Clinical Anesthesia.

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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