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Researcher · Nvidia (United States) · United States

Joe Eaton

Joe Eaton publishes mostly in Artificial Intelligence, Ocean Engineering and Computer Vision and Pattern Recognition, on topics such as Graph Theory and Algorithms, Hydraulic Fracturing and Reservoir Analysis and Reservoir Engineering and Simulation Methods.

ORCID 0000-0001-7540-995X OpenAlex
World rank
#3,023,515
of 7,710,434 ranked researchers
Rank in United States
#866,980
of 1,627,098
Works
25
Citations
490
Citations per work
19.6
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Joe Eaton

What does Joe Eaton research?

Joe Eaton's work is mostly in Computer Science (38%), Engineering (17%), Physics and Astronomy (6%).

Physical Sciences: 15 works · 60.5% of their workComputer Science: 10 works · 38.0% of their workArtificial Intelligence: 5 works · 21.1% of their workComputer Vision and Pattern Recognition: 2 works · 9.9% of their workComputational Theory and Mathematics: 2 works · 7.0% of their workEngineering: 4 works · 16.9% of their workOcean Engineering: 3 works · 11.3% of their workMechanical Engineering: 1 works · 5.6% of their workPhysics and Astronomy: 1 works · 5.6% of their workStatistical and Nonlinear Physics: 1 works · 5.6% of their workEverything else: 10 works · 39.5% of their workTHEIR WORKJoe Eaton25works
Physical Sciences60%

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 Science1038.0%
    2. Engineering416.9%
    3. Physics and Astronomy15.6%
  2. Everything else1039.5%
  1. 1Artificial Intelligence21% of their works
  2. 2Ocean Engineering11% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Computational Theory and Mathematics7% of their works
  5. 5Statistical and Nonlinear Physics6% of their works
  6. 6Mechanical Engineering6% of their works

Research topics

Which keywords describe Joe Eaton's research?

The keywords of their largest research topics: Deep Learning, Community Structure, Ensemble Kalman Filter, Graph Matching, Graph Processing, Hydraulic Fracturing, Network Dynamics and Optimization.

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 17 words, with their numbers
  1. Deep Learning52 topics
  2. Community Structure41 topic
  3. Ensemble Kalman Filter41 topic
  4. Graph Matching41 topic
  5. Graph Processing41 topic
  6. Hydraulic Fracturing41 topic
  7. Network Dynamics41 topic
  8. Optimization41 topic
  9. Shale Gas Reservoirs41 topic
  10. Big Data31 topic
  11. Cloud Computing31 topic
  12. Graph Neural Networks31 topic
  13. Knowledge Graph Embedding31 topic
  14. Matrix Computations31 topic
  15. Numerical Linear Algebra31 topic
  16. Adversarial Examples21 topic
  17. Robustness21 topic

Where does Joe Eaton work?

Joe Eaton's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Joe Eaton have?

OpenAlex counts 25 works and 490 citations for Joe Eaton, an h-index of 9, ranking #3,023,515 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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