Question 1

What does Markus Scheidgen research?

Accepted Answer

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.

Question 2

Which keywords describe Markus Scheidgen's research?

Accepted Answer

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.

Question 3

Where does Markus Scheidgen work?

Accepted Answer

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

Question 4

How many publications and citations does Markus Scheidgen have?

Accepted Answer

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.

Question 5

Is Markus Scheidgen's h-index high?

Accepted Answer

An h-index of 15 is at or above that of 92% of the 61,330 ranked researchers whose main subfield is Information Systems, which is in the top 8.8%.