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Researcher · Technische Universität Ilmenau · Germany

Marco Seeland

Marco Seeland publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Plant Science, on topics such as Organic Electronics and Photovoltaics, Privacy-Preserving Technologies in Data and Thin-Film Transistor Technologies.

ORCID 0000-0001-7204-3972 OpenAlex
World rank
#453,497
of 7,710,434 ranked researchers
Rank in Germany
#22,278
of 364,343
Works
56
Citations
2.1k
Citations per work
37.7
h-index
17
i10-index 20Top 24% in Electrical and Electronic Engineering
Marco Seeland

What does Marco Seeland research?

Marco Seeland's work is mostly in Engineering (25%), Computer Science (25%), Agricultural and Biological Sciences (10%).

Physical Sciences: 31 works · 55.6% of their workEngineering: 14 works · 25.4% of their workElectrical and Electronic Engineering: 14 works · 25.4% of their workComputer Science: 14 works · 25.3% of their workArtificial Intelligence: 11 works · 20.4% of their workComputer Vision and Pattern Recognition: 3 works · 4.9% of their workEnvironmental Science: 3 works · 4.9% of their workEcological Modeling: 3 works · 4.9% of their workEverything else: 19 works · 34.6% of their workLife Sciences: 5 works · 9.8% of their workAgricultural and Biological Sciences: 5 works · 9.8% of their workPlant Science: 3 works · 5.6% of their workInsect Science: 2 works · 4.2% of their workTHEIR WORKMarco Seeland56works
Life Sciences10%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. Engineering1425.4%
    2. Computer Science1425.3%
    3. Environmental Science34.9%
  2. Everything else1934.6%
    1. Agricultural and Biological Sciences59.8%
  1. 1Electrical and Electronic Engineering25% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Plant Science6% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Ecological Modeling5% of their works
  6. 6Insect Science4% of their works

Research topics

Which keywords describe Marco Seeland's research?

The keywords of their largest research topics: Machine Learning, Bulk Heterojunction, Conjugated Polymers, Deep Learning, Differential Privacy, Federated Learning, Plasmonics and Thin-Film Transistors.

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 18 words, with their numbers
  1. Machine Learning243 topics
  2. Bulk Heterojunction141 topic
  3. Conjugated Polymers141 topic
  4. Deep Learning122 topics
  5. Differential Privacy121 topic
  6. Federated Learning121 topic
  7. Plasmonics111 topic
  8. Thin-Film Transistors111 topic
  9. Climate Change71 topic
  10. Species Distribution Modeling71 topic
  11. Adversarial Examples61 topic
  12. Genomics61 topic
  13. Honey Bees61 topic
  14. Neonicotinoids61 topic
  15. Plant Disease Detection61 topic
  16. Robustness61 topic
  17. Smart Farming61 topic
  18. Social Insects61 topic

Where does Marco Seeland work?

Marco Seeland's main affiliation in the publication record is Technische Universität Ilmenau, Germany.

How many publications and citations does Marco Seeland have?

OpenAlex counts 56 works and 2,110 citations for Marco Seeland, an h-index of 17, ranking #453,497 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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