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Researcher · United States Geological Survey · United States

Daniel H. Knepper

Daniel H. Knepper publishes mostly in Artificial Intelligence, Geochemistry and Petrology and Anthropology, on topics such as Geochemistry and Geologic Mapping, Archaeology and Natural History and Geological Modeling and Analysis.

OpenAlex
World rank
#7,117,912
of 7,710,434 ranked researchers
Rank in United States
#1,584,638
of 1,627,098
Works
73
Citations
250
Citations per work
3.4
h-index
9
i10-index 8Top 49% in Artificial Intelligence
Daniel H. Knepper

What does Daniel H. Knepper research?

Daniel H. Knepper's work is mostly in Computer Science (23%), Engineering (11%), Earth and Planetary Sciences (10%).

Physical Sciences: 36 works · 48.9% of their workComputer Science: 17 works · 22.9% of their workArtificial Intelligence: 17 works · 22.9% of their workEngineering: 8 works · 10.6% of their workMechanics of Materials: 4 works · 5.3% of their workMedia Technology: 4 works · 5.3% of their workEarth and Planetary Sciences: 7 works · 10.1% of their workGeochemistry and Petrology: 7 works · 10.1% of their workEnvironmental Science: 4 works · 5.3% of their workEnvironmental Engineering: 4 works · 5.3% of their workEverything else: 31 works · 43.1% of their workSocial Sciences: 6 works · 8.0% of their workSocial Sciences: 6 works · 8.0% of their workAnthropology: 6 works · 8.0% of their workTHEIR WORKDaniel H. Knepper73works
Physical Sciences49%Social Sciences8%

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 Science1722.9%
    2. Engineering810.6%
    3. Earth and Planetary Sciences710.1%
    4. Environmental Science45.3%
  2. Everything else3143.1%
    1. Social Sciences68.0%
  1. 1Artificial Intelligence23% of their works
  2. 2Geochemistry and Petrology10% of their works
  3. 3Anthropology8% of their works
  4. 4Environmental Engineering5% of their works
  5. 5Mechanics of Materials5% of their works
  6. 6Media Technology5% of their works

Research topics

Which keywords describe Daniel H. Knepper's research?

The keywords of their largest research topics: Remote Sensing, Geological Mapping, Support Vector Machines, Machine Learning, Compositional Data Analysis, Mineral Prospectivity, Traditional Irrigation and Water Sustainability.

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. Remote Sensing613 topics
  2. Geological Mapping562 topics
  3. Support Vector Machines522 topics
  4. Machine Learning512 topics
  5. Compositional Data Analysis421 topic
  6. Mineral Prospectivity421 topic
  7. Traditional Irrigation151 topic
  8. Water Sustainability151 topic
  9. Geological Modeling141 topic
  10. Uncertainty Analysis141 topic
  11. Hyperspectral101 topic
  12. Image Analysis101 topic
  13. Digital Soil Mapping91 topic
  14. Geostatistics91 topic
  15. Hydrogeology91 topic
  16. Pore Structure91 topic
  17. Shale Gas91 topic
  18. Water Quality91 topic
  19. Cyperus71 topic
  20. Phylogeny71 topic

Where does Daniel H. Knepper work?

Daniel H. Knepper's main affiliation in the publication record is United States Geological Survey, United States.

How many publications and citations does Daniel H. Knepper have?

OpenAlex counts 73 works and 250 citations for Daniel H. Knepper, an h-index of 9, ranking #7,117,912 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.

Discussion

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