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Researcher · In-Q-Tel · United States

Jacob Shermeyer

Jacob Shermeyer publishes mostly in Computer Vision and Pattern Recognition, Ecology and Environmental Engineering, on topics such as Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications and Remote-Sensing Image Classification.

ORCID 0000-0002-8143-2790 OpenAlex
World rank
#1,854,931
of 7,710,434 ranked researchers
Rank in United States
#568,171
of 1,627,098
Works
18
Citations
703
Citations per work
39.1
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Jacob Shermeyer

What does Jacob Shermeyer research?

Jacob Shermeyer's work is mostly in Environmental Science (51%), Computer Science (20%), Engineering (18%).

Physical Sciences: 16 works · 88.2% of their workEnvironmental Science: 9 works · 50.9% of their workEcology: 4 works · 19.6% of their workEnvironmental Engineering: 3 works · 17.6% of their workGlobal and Planetary Change: 2 works · 13.7% of their workComputer Science: 4 works · 19.6% of their workComputer Vision and Pattern Recognition: 4 works · 19.6% of their workEngineering: 3 works · 17.7% of their workMedia Technology: 2 works · 11.8% of their workAerospace Engineering: 1 works · 5.9% of their workEverything else: 2 works · 11.8% of their workTHEIR WORKJacob Shermeyer18works
Physical Sciences88%

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. Environmental Science950.9%
    2. Computer Science419.6%
    3. Engineering317.7%
  2. Everything else211.8%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Ecology20% of their works
  3. 3Environmental Engineering18% of their works
  4. 4Global and Planetary Change14% of their works
  5. 5Media Technology12% of their works
  6. 6Aerospace Engineering6% of their works

Research topics

Which keywords describe Jacob Shermeyer's research?

The keywords of their largest research topics: Remote Sensing, Biomass Estimation, Deep Learning, Machine Learning, Phenology, Vegetation Monitoring, Convolutional Neural Networks and Forest Carbon Stocks.

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 21 words, with their numbers
  1. Remote Sensing163 topics
  2. Biomass Estimation142 topics
  3. Deep Learning123 topics
  4. Machine Learning112 topics
  5. Phenology81 topic
  6. Vegetation Monitoring81 topic
  7. Convolutional Neural Networks72 topics
  8. Forest Carbon Stocks61 topic
  9. Lidar Remote Sensing61 topic
  10. Hyperspectral51 topic
  11. Image Analysis51 topic
  12. Object Tracking41 topic
  13. Visual Tracking41 topic
  14. Digital Soil Mapping31 topic
  15. Ecosystem Services31 topic
  16. Geostatistics31 topic
  17. Image Recognition31 topic
  18. Land Use Change31 topic
  19. Object Detection31 topic
  20. 3D Mapping21 topic
  21. SLAM21 topic

Where does Jacob Shermeyer work?

Jacob Shermeyer's main affiliation in the publication record is In-Q-Tel, United States.

How many publications and citations does Jacob Shermeyer have?

OpenAlex counts 18 works and 703 citations for Jacob Shermeyer, an h-index of 11, ranking #1,854,931 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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