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Researcher · German Research Centre for Artificial Intelligence · Germany

Christiane Plociennik

Christiane Plociennik publishes mostly in Industrial and Manufacturing Engineering, Information Systems and Computer Vision and Pattern Recognition, on topics such as Digital Transformation in Industry, Flexible and Reconfigurable Manufacturing Systems and Recycling and Waste Management Techniques.

ORCID 0009-0002-4808-7902 OpenAlex
World rank
#1,034,567
of 7,710,434 ranked researchers
Rank in Germany
#50,960
of 364,343
Works
56
Citations
553
Citations per work
9.9
h-index
11
i10-index 12Top 35% in Industrial and Manufacturing Engineering (Engineering)
Christiane Plociennik

What does Christiane Plociennik research?

Christiane Plociennik's work is mostly in Engineering (29%), Computer Science (22%), Business, Management and Accounting (7%).

Physical Sciences: 31 works · 55.9% of their workEngineering: 16 works · 28.7% of their workIndustrial and Manufacturing Engineering: 16 works · 28.7% of their workComputer Science: 12 works · 21.8% of their workInformation Systems: 4 works · 7.8% of their workArtificial Intelligence: 4 works · 7.0% of their workComputer Vision and Pattern Recognition: 4 works · 7.0% of their workEnvironmental Science: 3 works · 5.4% of their workIndustrial and Manufacturing Engineering: 3 works · 5.4% of their workEverything else: 21 works · 37.1% of their workSocial Sciences: 4 works · 7.0% of their workBusiness, Management and Accounting: 4 works · 7.0% of their workStrategy and Management: 4 works · 7.0% of their workTHEIR WORKChristianePlociennik56works
Physical Sciences56%Social Sciences7%

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. Engineering1628.7%
    2. Computer Science1221.8%
    3. Environmental Science35.4%
  2. Everything else2137.1%
    1. Business, Management and Accounting47.0%
  1. 1Industrial and Manufacturing Engineering29% of their works
  2. 2Information Systems8% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Strategy and Management7% of their works
  6. 6Industrial and Manufacturing Engineering5% of their works

Research topics

Which keywords describe Christiane Plociennik's research?

The keywords of their largest research topics: Sustainability, Digital Twin, Smart Manufacturing, Flexible Automation, Reconfigurable Manufacturing Systems, Circular Economy, E-Waste and Recycling.

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. Sustainability182 topics
  2. Digital Twin131 topic
  3. Smart Manufacturing131 topic
  4. Flexible Automation121 topic
  5. Reconfigurable Manufacturing Systems121 topic
  6. Circular Economy61 topic
  7. E-Waste61 topic
  8. Recycling61 topic
  9. Sustainable Supply Chain Management61 topic
  10. Energy Consumption51 topic
  11. Mobile Devices51 topic
  12. Ontology51 topic
  13. Semantic Web51 topic
  14. Grasping41 topic
  15. QoS-Aware Middleware41 topic
  16. Robot Learning41 topic
  17. Semantic Web Services41 topic

Where does Christiane Plociennik work?

Christiane Plociennik's main affiliation in the publication record is German Research Centre for Artificial Intelligence, Germany.

How many publications and citations does Christiane Plociennik have?

OpenAlex counts 56 works and 553 citations for Christiane Plociennik, an h-index of 11, ranking #1,034,567 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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