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Researcher · University of Würzburg · Germany

Lukas-Valentin Herm

Lukas-Valentin Herm publishes mostly in Industrial and Manufacturing Engineering, Management Information Systems and Artificial Intelligence, on topics such as Business Process Modeling and Analysis, Big Data and Business Intelligence and Explainable Artificial Intelligence (XAI).

ORCID 0000-0002-0101-5429 OpenAlex
World rank
#2,162,699
of 7,710,434 ranked researchers
Rank in Germany
#106,690
of 364,343
Works
26
Citations
662
Citations per work
25.5
h-index
12
i10-index 12Top 31% in Industrial and Manufacturing Engineering (Engineering)
Lukas-Valentin Herm

What does Lukas-Valentin Herm research?

Lukas-Valentin Herm's work is mostly in Engineering (25%), Business, Management and Accounting (24%), Computer Science (16%).

Physical Sciences: 11 works · 41.3% of their workEngineering: 7 works · 25.4% of their workIndustrial and Manufacturing Engineering: 7 works · 25.4% of their workComputer Science: 4 works · 15.9% of their workArtificial Intelligence: 3 works · 12.7% of their workInformation Systems: 1 works · 3.2% of their workSocial Sciences: 9 works · 36.5% of their workBusiness, Management and Accounting: 6 works · 23.8% of their workManagement Information Systems: 6 works · 23.8% of their workSocial Sciences: 2 works · 9.5% of their workSafety Research: 2 works · 9.5% of their workDecision Sciences: 1 works · 3.2% of their workManagement Science and Operations Research: 1 works · 3.2% of their workEverything else: 6 works · 22.2% of their workTHEIR WORKLukas-ValentinHerm26works
Physical Sciences41%Social Sciences36%

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. Engineering725.4%
    2. Computer Science415.9%
    1. Business, Management and Accounting623.8%
    2. Social Sciences29.5%
    3. Decision Sciences13.2%
  3. Everything else622.2%
  1. 1Industrial and Manufacturing Engineering25% of their works
  2. 2Management Information Systems24% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Safety Research10% of their works
  5. 5Information Systems3% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Lukas-Valentin Herm's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Sustainability, Artificial Intelligence, Business Process Management, Deep Neural Networks, Workflow Mining and Analytics.

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 21 words, with their numbers
  1. Big Data193 topics
  2. Supply Chain Management132 topics
  3. Sustainability132 topics
  4. Artificial Intelligence112 topics
  5. Business Process Management81 topic
  6. Deep Neural Networks82 topics
  7. Workflow Mining81 topic
  8. Analytics71 topic
  9. Business Intelligence71 topic
  10. Digital Twin61 topic
  11. Ethics61 topic
  12. Fairness61 topic
  13. Interpretable Models61 topic
  14. Machine Learning Interpretability61 topic
  15. Smart Manufacturing61 topic
  16. Automation51 topic
  17. Robotic Process Automation51 topic
  18. Flexible Automation31 topic
  19. Reconfigurable Manufacturing Systems31 topic
  20. Hyperparameter Optimization21 topic
  21. Noisy Labels21 topic

Where does Lukas-Valentin Herm work?

Lukas-Valentin Herm's main affiliation in the publication record is University of Würzburg, Germany.

How many publications and citations does Lukas-Valentin Herm have?

OpenAlex counts 26 works and 662 citations for Lukas-Valentin Herm, an h-index of 12, ranking #2,162,699 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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