Markus Stocker


Research group leader at the German National Library of Science and Technology (TIB). Interested in knowledge infrastructures, in particular research infrastructures for the earth and environmental sciences. I hold a PhD in Environmental Informatics from the University of Eastern Finland, a MSc in Environmental Science from the University of Eastern Finland, and a Diploma (MSc) in Informatics from the University of Zurich, Switzerland. Prior to TIB, I held a postdoctoral research associate position at PANGAEA, the Data Publisher for Earth & Environmental Science, at the MARUM Center for Marine Environmental Sciences, University of Bremen, Germany. I continue to be affiliated with MARUM. As a member of the Research Data Alliance (RDA), I am involved in various groups, in particular the WG Persistent Identification of Instruments and the IG From Observational Data to Information. Author of Wavellite, a software framework for situation awareness in environmental monitoring, and Emrooz, a scalable database for sensor data, I have several years of professional experience in software development and semantic technologies, with positions at Hewlett Packard Labs, Bristol, UK and Clark & Parsia, Washington DC, USA. I enjoy working together with scientists and have experiences with aerosol scientists, biogeochemists, and agricultural scientists. I actively collaborate with environmental research infrastructures, in particular ACTRIS and ICOS.

Editorial Board Memberships

Markus is not currently contributing as an editor for any journal or publisher.

Pre Publication Reviews

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Reviews (last 12 months)


Reviews (average per year)






Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Markus Stocker has reviewed for.

Markus Stocker

All fields reviewers

Total reviews over time

A cumulative record of Markus Stocker's total number of reviews.

Reviews per month

The total number of reviews performed by Markus Stocker each month.

Average review length

The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.