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Researcher · Virginia Transportation Research Council · United States

Michael D. Fontaine

Michael D. Fontaine publishes mostly in Building and Construction, Safety, Risk, Reliability and Quality and Control and Systems Engineering, on topics such as Traffic Prediction and Management Techniques, Traffic and Road Safety and Traffic control and management.

ORCID 0000-0002-5003-6680 OpenAlex
World rank
#710,348
of 7,710,434 ranked researchers
Rank in United States
#239,822
of 1,627,098
Works
155
Citations
1.9k
Citations per work
12.3
h-index
25
i10-index 59Top 7.3% in Building and Construction
Michael D. Fontaine

What does Michael D. Fontaine research?

Michael D. Fontaine's work is mostly in Engineering (56%), Social Sciences (12%).

Physical Sciences: 86 works · 55.6% of their workEngineering: 86 works · 55.6% of their workBuilding and Construction: 24 works · 15.7% of their workSafety, Risk, Reliability and Quality: 21 works · 13.8% of their workControl and Systems Engineering: 19 works · 12.3% of their workCivil and Structural Engineering: 13 works · 8.4% of their workElectrical and Electronic Engineering: 8 works · 5.4% of their workEverything else: 50 works · 32.4% of their workSocial Sciences: 19 works · 12.0% of their workSocial Sciences: 19 works · 12.0% of their workTransportation: 19 works · 12.0% of their workTHEIR WORKMichael D.Fontaine155works
Physical Sciences56%Social Sciences12%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering8655.6%
  2. Everything else5032.4%
    1. Social Sciences1912.0%
  1. 1Building and Construction16% of their works
  2. 2Safety, Risk, Reliability and Quality14% of their works
  3. 3Control and Systems Engineering12% of their works
  4. 4Transportation12% of their works
  5. 5Civil and Structural Engineering8% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Michael D. Fontaine's research?

The keywords of their largest research topics: Intelligent Transportation Systems, Traffic Flow, Deep Learning, Driver Behavior, Short-Term Forecasting, Spatio-Temporal Data, Injury Severity and Traffic Accidents.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Intelligent Transportation Systems1072 topics
  2. Traffic Flow1072 topics
  3. Deep Learning722 topics
  4. Driver Behavior632 topics
  5. Short-Term Forecasting591 topic
  6. Spatio-Temporal Data591 topic
  7. Injury Severity541 topic
  8. Traffic Accidents541 topic
  9. Cooperative Adaptive Cruise Control481 topic
  10. Microscopic Simulation481 topic
  11. Public Transport401 topic
  12. Travel Behavior401 topic
  13. Crash Tests151 topic
  14. Finite Element Simulation151 topic
  15. Crack Detection131 topic
  16. Pavement131 topic
  17. Eco-Driving111 topic
  18. Fuel Consumption111 topic
  19. Automation91 topic
  20. Trust91 topic

Where does Michael D. Fontaine work?

Michael D. Fontaine's main affiliation in the publication record is Virginia Transportation Research Council, United States.

How many publications and citations does Michael D. Fontaine have?

OpenAlex counts 155 works and 1,908 citations for Michael D. Fontaine, an h-index of 25, ranking #710,348 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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