Michael W. Sjoding

92 papers receiving 2.6k citations

Peers

Michael W. Sjoding
Comparison fields: 5 of 148
  • Health Informatics 146
  • Critical Care and Intensive Care Medicine 275
  • Emergency Medicine 175
  • Pulmonary and Respiratory Medicine 613
  • Epidemiology 525
Replace Paul Elbers with:
Paul Elbers Netherlands
L. Nelson Sanchez‐Pinto United States
Kay Choong See Singapore
Majid Afshar United States
Gernot Marx Germany
Eneida A. Mendonça United States
Vincent X. Liu United States
Jasper van Bommel Netherlands
Amartya Mukhopadhyay Singapore
Thomas J. Papadimos United States
Michael W. Sjoding relative to Paul Elbers Netherlands Paul Elbers's profile →
Citations per field
00.5×1.5×2.0×
Paul Elbers · 1×
Citations per year

Countries citing papers authored by Michael W. Sjoding

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Sjoding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020216
2 2020119
3 2008115
4 2023102
5 201595
6 201793
7 201790
8 201684
9 202077
10 202270
11 202267
12 201963
13 202060
14 202160
15 202058
16 202155
17 201855
18 201548
19 201947
20 202043

About Michael W. Sjoding

Michael W. Sjoding is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Biomedical Engineering, Emergency Medicine and General Health Professions, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (25 papers), Sepsis Diagnosis and Treatment (21 papers), Cardiac Arrest and Resuscitation (7 papers), Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). The work is most often cited by research in Health Informatics (146 citations), Critical Care and Intensive Care Medicine (275 citations), Emergency Medicine (175 citations), Pulmonary and Respiratory Medicine (613 citations) and Epidemiology (525 citations). Michael W. Sjoding has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Theodore J. Iwashyna, Colin R. Cooke, Thomas S. Valley, Hallie C. Prescott, Robert P. Dickson, Jenna Wiens, Ivan Co, Nicole R. Falkowski, Brahmajee K. Nallamothu and Dru Claar. Their work appears in journals such as Annals of the American Thoracic Society, American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine, CHEST Journal and JAMA Network Open.

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.

Explore authors with similar magnitude of impact