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Researcher · Helmholtz Institute Freiberg for Resource Technology · Germany

Sandra Lorenz

Sandra Lorenz publishes mostly in Artificial Intelligence, Media Technology and Mechanical Engineering, on topics such as Geochemistry and Geologic Mapping, Remote-Sensing Image Classification and Mineral Processing and Grinding.

ORCID 0000-0001-8464-2331 OpenAlex
World rank
#824,014
of 7,710,434 ranked researchers
Rank in Germany
#40,514
of 364,343
Works
112
Citations
1.4k
Citations per work
12.3
h-index
19
i10-index 31Top 14% in Artificial Intelligence
Sandra Lorenz

What does Sandra Lorenz research?

Sandra Lorenz's work is mostly in Engineering (22%), Computer Science (19%), Earth and Planetary Sciences (5%).

Physical Sciences: 62 works · 55.7% of their workEngineering: 25 works · 22.4% of their workMedia Technology: 17 works · 15.6% of their workMechanical Engineering: 8 works · 6.8% of their workComputer Science: 21 works · 19.0% of their workArtificial Intelligence: 21 works · 19.0% of their workEarth and Planetary Sciences: 6 works · 5.4% of their workGeology: 6 works · 5.4% of their workChemistry: 5 works · 4.8% of their workAnalytical Chemistry: 5 works · 4.8% of their workEnvironmental Science: 5 works · 4.1% of their workIndustrial and Manufacturing Engineering: 5 works · 4.1% of their workEverything else: 50 works · 44.3% of their workTHEIR WORKSandra Lorenz112works
Physical Sciences56%

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. Engineering2522.4%
    2. Computer Science2119.0%
    3. Earth and Planetary Sciences65.4%
    4. Chemistry54.8%
    5. Environmental Science54.1%
  2. Everything else5044.3%
  1. 1Artificial Intelligence19% of their works
  2. 2Media Technology16% of their works
  3. 3Mechanical Engineering7% of their works
  4. 4Geology5% of their works
  5. 5Analytical Chemistry5% of their works
  6. 6Industrial and Manufacturing Engineering4% of their works

Research topics

Which keywords describe Sandra Lorenz's research?

The keywords of their largest research topics: Remote Sensing, Support Vector Machines, Machine Learning, Hyperspectral Imaging, Compositional Data Analysis, Mineral Prospectivity, Hyperspectral and Image Analysis.

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 21 words, with their numbers
  1. Remote Sensing1255 topics
  2. Support Vector Machines952 topics
  3. Machine Learning864 topics
  4. Hyperspectral Imaging652 topics
  5. Compositional Data Analysis541 topic
  6. Mineral Prospectivity541 topic
  7. Hyperspectral411 topic
  8. Image Analysis411 topic
  9. Cultural Heritage232 topics
  10. Comminution171 topic
  11. Mineral Liberation Analysis171 topic
  12. Photogrammetry151 topic
  13. UAV151 topic
  14. Multivariate Calibration111 topic
  15. Near-Infrared Spectroscopy111 topic
  16. E-Waste101 topic
  17. Recycling101 topic
  18. Archaeology81 topic
  19. LiDAR81 topic
  20. Digital Soil Mapping71 topic
  21. Geostatistics71 topic

Where does Sandra Lorenz work?

Sandra Lorenz's main affiliation in the publication record is Helmholtz Institute Freiberg for Resource Technology, Germany.

How many publications and citations does Sandra Lorenz have?

OpenAlex counts 112 works and 1,373 citations for Sandra Lorenz, an h-index of 19, ranking #824,014 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.

Discussion

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