Michael Glazer

558 citations
11 papers · 389 · h-index 8

Impact in

Papers in

Michael Glazer

11 papers receiving 365 citations

Peers

Michael Glazer
Comparison fields: 5 of 101
  • Automotive Engineering 88
  • Safety, Risk, Reliability and Quality 53
  • Social Psychology 78
  • Computer Vision and Pattern Recognition 67
  • Oral Surgery 19
Replace John C. Hicks with:
John C. Hicks United States
Huabiao Qin China
Ioannis Iossifidis Germany
Paolo Pretto Germany
Patricia May Ververs United States
Sang‐Joong Jung South Korea
A. V. Phatak United States
Christos D. Katsis Greece
Omid Dehzangi United States
Michael Glazer relative to John C. Hicks United States John C. Hicks's profile →
Citations per field
00.5×2.9×
John C. Hicks · 1×
Citations per year

Countries citing papers authored by Michael Glazer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Glazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019159
2
MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation
201756
3 201047
4 201237
5 198033
6 197916
7 197614
8 201912
9 20207
10 20105
11
Dreams of death: Mexican-Americans VS. Anglo-Americans
19743

About Michael Glazer

Michael Glazer is a scholar working on Automotive Engineering, Clinical Psychology, Computer Vision and Pattern Recognition, Molecular Biology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (2 papers), Human-Automation Interaction and Safety (2 papers), Substance Abuse Treatment and Outcomes (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers), Vehicle emissions and performance (1 paper), Opioid Use Disorder Treatment (1 paper) and Religion, Spirituality, and Psychology (1 paper). The work is most often cited by research in Automotive Engineering (88 citations), Safety, Risk, Reliability and Quality (53 citations), Social Psychology (78 citations), Computer Vision and Pattern Recognition (67 citations) and Oral Surgery (19 citations). Michael Glazer has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Lex Fridman, Bobbie Seppelt, Lipa Bodner, Li Ding, Bruce Mehler, Bryan Reimer, Edward J. Callahan, Jack Terwilliger, Richard A. Rawson and Linda Angell. Their work appears in journals such as British Journal of Oral and Maxillofacial Surgery, Neurochemical Research, International Journal of Pediatric Otorhinolaryngology, IEEE Access and Revista Interamericana de Psicología/Interamerican Journal of Psychology.

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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