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Researcher · University of Applied Sciences Upper Austria · Austria

Mark J. Burge

Mark J. Burge publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, on topics such as Medical Image Segmentation Techniques, Image and Object Detection Techniques and Digital Image Processing Techniques.

OpenAlex
World rank
#1,061,855
of 7,710,434 ranked researchers
Rank in Austria
#6,463
of 43,330
Works
154
Citations
5.6k
Citations per work
36.1
h-index
21
i10-index 28Top 12% in Computer Vision and Pattern Recognition
Mark J. Burge

What does Mark J. Burge research?

Mark J. Burge's work is mostly in Computer Science (49%), Engineering (12%).

Physical Sciences: 93 works · 60.5% of their workComputer Science: 75 works · 48.8% of their workComputer Vision and Pattern Recognition: 63 works · 40.8% of their workSignal Processing: 8 works · 5.2% of their workInformation Systems: 4 works · 2.8% of their workEngineering: 18 works · 11.7% of their workComputational Mechanics: 7 works · 4.6% of their workMedia Technology: 6 works · 4.0% of their workIndustrial and Manufacturing Engineering: 5 works · 3.1% of their workEverything else: 61 works · 39.5% of their workTHEIR WORKMark J. Burge154works
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 Science7548.8%
    2. Engineering1811.7%
  2. Everything else6139.5%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Signal Processing5% of their works
  3. 3Computational Mechanics5% of their works
  4. 4Media Technology4% of their works
  5. 5Industrial and Manufacturing Engineering3% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Mark J. Burge's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Connected Components, Hough Transform, Labeling, Line Detection and Content-Based Image Retrieval.

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 Learning473 topics
  2. Image Segmentation241 topic
  3. Medical Image Analysis241 topic
  4. Connected Components171 topic
  5. Hough Transform171 topic
  6. Labeling171 topic
  7. Line Detection171 topic
  8. Content-Based Image Retrieval151 topic
  9. Shape Matching151 topic
  10. Biometric Recognition131 topic
  11. Security131 topic
  12. Feature Matching121 topic
  13. Local Descriptors121 topic
  14. Image Denoising111 topic
  15. Sparse Representations111 topic
  16. Fragmented Objects91 topic
  17. Reconstruction91 topic

Where does Mark J. Burge work?

Mark J. Burge's main affiliation in the publication record is University of Applied Sciences Upper Austria, Austria.

How many publications and citations does Mark J. Burge have?

OpenAlex counts 154 works and 5,554 citations for Mark J. Burge, an h-index of 21, ranking #1,061,855 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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