Michael Shear

14 papers receiving 313 citations

Peers

Michael Shear
Comparison fields: 5 of 97
  • Behavioral Neuroscience 38
  • Urology 41
  • Emergency Medical Services 38
  • Biological Psychiatry 13
  • Psychiatry and Mental health 41
Replace Sierra Simpson with:
Sierra Simpson United States
Yannick Fortin Canada
Janne Kaergaard Mortensen Denmark
Xueyong Shen China
Agata Furgała Poland
R. W. McIntyre United States
K. Boddy United Kingdom
Marjan Asadollahi Iran
Cinzia Valenti Italy
Alexander Wutzler Germany
Michael Shear relative to Sierra Simpson United States Sierra Simpson's profile →
Citations per field
00.5×
Sierra Simpson · 1×
Citations per year

Countries citing papers authored by Michael Shear

Since Specialization
Citations

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

Fields of papers citing papers by Michael Shear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200185
2 201663
3 201039
4 200423
5 200521
6 200520
7 200420
8 199719
9 200717
10 20056
11
Ultrasonic Measurement of Thin Condensing Fluid Films
20023
12 20052
13 20051
14 20051
15 20230

About Michael Shear

Michael Shear is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Social Psychology, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Urinary Bladder and Prostate Research (2 papers), Sports Performance and Training (2 papers), Neuroendocrine regulation and behavior (2 papers), Flow Measurement and Analysis (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Behavioral Neuroscience (38 citations), Urology (41 citations), Emergency Medical Services (38 citations), Biological Psychiatry (13 citations) and Psychiatry and Mental health (41 citations). Michael Shear has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jana Podhorná, Tillmann Krahnke, John Harrison, Israel Liberzon, Anantha Shekhar, D. Caroline Blanchard, Michael Davis, Babs R. Soller, Michael J. Meaney and Kirk A. Frey. Their work appears in journals such as Seminars in Reproductive Medicine, Flow Measurement and Instrumentation, Alzheimer s Research & Therapy, Physiological Measurement and Optics Letters.

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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