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Researcher · Durham University · United Kingdom

Jamie L. Godwin

Jamie L. Godwin publishes mostly in Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence, on topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems and Adversarial Robustness in Machine Learning.

OpenAlex
World rank
#1,903,559
of 7,710,434 ranked researchers
Rank in United Kingdom
#140,948
of 367,258
Works
25
Citations
755
Citations per work
30.2
h-index
8
i10-index 8Top 54% in Control and Systems Engineering
Jamie L. Godwin

What does Jamie L. Godwin research?

Jamie L. Godwin's work is mostly in Computer Science (29%), Engineering (29%).

Physical Sciences: 15 works · 58.4% of their workComputer Science: 7 works · 29.2% of their workArtificial Intelligence: 2 works · 9.7% of their workComputer Science Applications: 2 works · 8.3% of their workComputer Vision and Pattern Recognition: 1 works · 5.6% of their workInformation Systems: 1 works · 5.6% of their workEngineering: 7 works · 29.2% of their workControl and Systems Engineering: 5 works · 18.1% of their workAerospace Engineering: 3 works · 11.1% of their workEverything else: 10 works · 41.6% of their workTHEIR WORKJamie L. Godwin25works
Physical Sciences58%

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. Computer Science729.2%
    2. Engineering729.2%
  2. Everything else1041.6%
  1. 1Control and Systems Engineering18% of their works
  2. 2Aerospace Engineering11% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Computer Science Applications8% of their works
  5. 5Information Systems6% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Jamie L. Godwin's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Empirical Mode Decomposition, Fault Diagnosis, Fault Detection, Learning Analytics and Process Monitoring.

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.

All 20 words, with their numbers
  1. Machine Learning225 topics
  2. Deep Learning102 topics
  3. Neural Networks102 topics
  4. Empirical Mode Decomposition71 topic
  5. Fault Diagnosis71 topic
  6. Fault Detection61 topic
  7. Learning Analytics62 topics
  8. Process Monitoring61 topic
  9. 3D Mapping31 topic
  10. Adversarial Examples31 topic
  11. Code Clone Detection31 topic
  12. Computational Thinking31 topic
  13. Educational Data Mining31 topic
  14. Massive Open Online Courses31 topic
  15. Optimal Motion Planning31 topic
  16. Programming Education31 topic
  17. Refactoring31 topic
  18. Robustness31 topic
  19. SLAM31 topic
  20. Sampling-Based Algorithms31 topic

Where does Jamie L. Godwin work?

Jamie L. Godwin's main affiliation in the publication record is Durham University, United Kingdom.

How many publications and citations does Jamie L. Godwin have?

OpenAlex counts 25 works and 755 citations for Jamie L. Godwin, an h-index of 8, ranking #1,903,559 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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