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Researcher · Hertie School · Germany

Lynn H. Kaack

Lynn H. Kaack publishes mostly in Electrical and Electronic Engineering, Building and Construction and Environmental Engineering, on topics such as Traffic Prediction and Management Techniques, Energy Load and Power Forecasting and Air Quality Monitoring and Forecasting.

ORCID 0000-0003-3630-3102 OpenAlex
World rank
#682,171
of 7,710,434 ranked researchers
Rank in Germany
#33,644
of 364,343
Works
41
Citations
2.4k
Citations per work
57.8
h-index
11
i10-index 11Top 47% in Electrical and Electronic Engineering
Lynn H. Kaack

What does Lynn H. Kaack research?

Lynn H. Kaack's work is mostly in Engineering (31%), Environmental Science (18%), Social Sciences (10%).

Physical Sciences: 20 works · 48.9% of their workEngineering: 13 works · 31.1% of their workElectrical and Electronic Engineering: 8 works · 18.9% of their workBuilding and Construction: 5 works · 12.2% of their workEnvironmental Science: 7 works · 17.8% of their workEnvironmental Engineering: 5 works · 12.2% of their workGlobal and Planetary Change: 2 works · 5.6% of their workEverything else: 14 works · 34.4% of their workSocial Sciences: 7 works · 16.7% of their workSocial Sciences: 4 works · 10.0% of their workTransportation: 4 works · 10.0% of their workDecision Sciences: 3 works · 6.7% of their workManagement Science and Operations Research: 3 works · 6.7% of their workTHEIR WORKLynn H. Kaack41works
Physical Sciences49%Social Sciences17%

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. Engineering1331.1%
    2. Environmental Science717.8%
  2. Everything else1434.4%
    1. Social Sciences410.0%
    2. Decision Sciences36.7%
  1. 1Electrical and Electronic Engineering19% of their works
  2. 2Building and Construction12% of their works
  3. 3Environmental Engineering12% of their works
  4. 4Transportation10% of their works
  5. 5Management Science and Operations Research7% of their works
  6. 6Global and Planetary Change6% of their works

Research topics

Which keywords describe Lynn H. Kaack's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Short-Term Forecasting, Renewable Energy, Air Quality Monitoring, Electricity Price Forecasting, Load Forecasting and Low-Cost Sensors.

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 20 words, with their numbers
  1. Neural Networks183 topics
  2. Deep Learning122 topics
  3. Short-Term Forecasting122 topics
  4. Renewable Energy92 topics
  5. Air Quality Monitoring61 topic
  6. Electricity Price Forecasting61 topic
  7. Load Forecasting61 topic
  8. Low-Cost Sensors61 topic
  9. Spatio-Temporal Data61 topic
  10. Traffic Flow61 topic
  11. Economic Dispatch51 topic
  12. Unit Commitment51 topic
  13. GPS Data41 topic
  14. Human Mobility41 topic
  15. Active Travel31 topic
  16. Built Environment31 topic
  17. Demand Response31 topic
  18. Reliability Evaluation31 topic
  19. Smart Grid31 topic
  20. Wind Power31 topic

Where does Lynn H. Kaack work?

Lynn H. Kaack's main affiliation in the publication record is Hertie School, Germany.

How many publications and citations does Lynn H. Kaack have?

OpenAlex counts 41 works and 2,369 citations for Lynn H. Kaack, an h-index of 11, ranking #682,171 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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