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Researcher · Saarland University · Germany

Markus Langer

Markus Langer publishes mostly in Safety Research, Artificial Intelligence and Social Psychology, on topics such as Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI) and Human-Automation Interaction and Safety.

ORCID 0000-0002-8165-1803 OpenAlex
World rank
#90,235
of 7,710,434 ranked researchers
Rank in Germany
#4,878
of 364,343
Works
178
Citations
4.7k
Citations per work
26.3
h-index
31
i10-index 46Top 3.3% in Safety Research
Markus Langer

What does Markus Langer research?

Markus Langer's work is mostly in Social Sciences (17%), Computer Science (10%), Psychology (10%).

Everything else: 90 works · 50.7% of their workSocial Sciences: 63 works · 35.3% of their workSocial Sciences: 31 works · 17.3% of their workSafety Research: 19 works · 10.4% of their workSociology and Political Science: 12 works · 6.9% of their workPsychology: 18 works · 10.0% of their workSocial Psychology: 18 works · 10.0% of their workBusiness, Management and Accounting: 14 works · 8.0% of their workOrganizational Behavior and Human Resource Management: 14 works · 8.0% of their workPhysical Sciences: 19 works · 10.4% of their workComputer Science: 19 works · 10.4% of their workArtificial Intelligence: 19 works · 10.4% of their workHealth Sciences: 6 works · 3.6% of their workMedicine: 6 works · 3.6% of their workHealth Informatics: 6 works · 3.6% of their workTHEIR WORKMarkus Langer178works
Physical Sciences10%Health Sciences4%Social Sciences35%

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. Everything else9050.7%
    1. Social Sciences3117.3%
    2. Psychology1810.0%
    3. Business, Management and Accounting148.0%
    1. Computer Science1910.4%
    1. Medicine63.6%
  1. 1Safety Research10% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Social Psychology10% of their works
  4. 4Organizational Behavior and Human Resource Management8% of their works
  5. 5Sociology and Political Science7% of their works
  6. 6Health Informatics4% of their works

Research topics

Which keywords describe Markus Langer's research?

The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Big Data, Ethics, Fairness, Interpretable Models, Machine Learning Interpretability and Automation.

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 19 words, with their numbers
  1. Machine Learning693 topics
  2. Artificial Intelligence612 topics
  3. Big Data612 topics
  4. Ethics451 topic
  5. Fairness451 topic
  6. Interpretable Models251 topic
  7. Machine Learning Interpretability251 topic
  8. Automation201 topic
  9. Trust201 topic
  10. Healthcare161 topic
  11. Medical Imaging161 topic
  12. Employer Branding141 topic
  13. Recruitment141 topic
  14. Adversarial Examples81 topic
  15. Deep Learning81 topic
  16. Digital Transformation81 topic
  17. Organizational Change81 topic
  18. Shared Mental Models81 topic
  19. Team Processes81 topic

Where does Markus Langer work?

Markus Langer's main affiliation in the publication record is Saarland University, Germany.

How many publications and citations does Markus Langer have?

OpenAlex counts 178 works and 4,674 citations for Markus Langer, an h-index of 31, ranking #90,235 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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