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Researcher · Humboldt-Universität zu Berlin · Germany

Markus Scheidgen

Markus Scheidgen publishes mostly in Information Systems, Materials Chemistry and Computer Networks and Communications, on topics such as Machine Learning in Materials Science, Model-Driven Software Engineering Techniques and Scientific Computing and Data Management.

ORCID 0000-0002-8038-2277 OpenAlex
World rank
#1,288,225
of 7,710,434 ranked researchers
Rank in Germany
#63,448
of 364,343
Works
96
Citations
1.3k
Citations per work
13.3
h-index
15
i10-index 22Top 8.8% in Information Systems
Markus Scheidgen

What does Markus Scheidgen research?

Markus Scheidgen's work is mostly in Computer Science (52%), Materials Science (17%), Decision Sciences (8%).

Physical Sciences: 66 works · 69.2% of their workComputer Science: 50 works · 52.4% of their workInformation Systems: 16 works · 16.8% of their workComputer Networks and Communications: 12 works · 12.6% of their workSoftware: 12 works · 12.0% of their workArtificial Intelligence: 11 works · 11.0% of their workMaterials Science: 16 works · 16.8% of their workMaterials Chemistry: 16 works · 16.8% of their workEverything else: 22 works · 22.4% of their workSocial Sciences: 8 works · 8.4% of their workDecision Sciences: 8 works · 8.4% of their workInformation Systems and Management: 8 works · 8.4% of their workTHEIR WORKMarkus Scheidgen96works
Physical Sciences69%Social Sciences8%

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. Computer Science5052.4%
    2. Materials Science1616.8%
  2. Everything else2222.4%
    1. Decision Sciences88.4%
  1. 1Information Systems17% of their works
  2. 2Materials Chemistry17% of their works
  3. 3Computer Networks and Communications13% of their works
  4. 4Software12% of their works
  5. 5Artificial Intelligence11% of their works
  6. 6Information Systems and Management8% of their works

Research topics

Which keywords describe Markus Scheidgen's research?

The keywords of their largest research topics: Software Development, Semantic Web Services, Machine Learning, Materials Informatics, Domain-Specific Languages, Model-Driven Engineering, Reproducibility and Scientific Workflows.

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. Software Development352 topics
  2. Semantic Web Services282 topics
  3. Machine Learning221 topic
  4. Materials Informatics221 topic
  5. Domain-Specific Languages191 topic
  6. Model-Driven Engineering191 topic
  7. Reproducibility161 topic
  8. Scientific Workflows161 topic
  9. QoS-Aware Middleware121 topic
  10. Service-Oriented Computing121 topic
  11. Autonomic Computing111 topic
  12. Self-Adaptive Systems111 topic
  13. Atom Probe Tomography101 topic
  14. Three-Dimensional Analysis101 topic
  15. Data Sharing81 topic
  16. Log Analysis81 topic
  17. Performance Prediction81 topic
  18. Scientific Data Management81 topic

Where does Markus Scheidgen work?

Markus Scheidgen's main affiliation in the publication record is Humboldt-Universität zu Berlin, Germany.

How many publications and citations does Markus Scheidgen have?

OpenAlex counts 96 works and 1,278 citations for Markus Scheidgen, an h-index of 15, ranking #1,288,225 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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