Provenance in DISC Systems: Reducing Space Overhead at Runtime. - Ralf Diestelkämper; Melanie Herschel; Priyanka Jadhav (TaPP, 2017)

A survey on provenance: What for? What form? What from? - Melanie Herschel; Ralf Diestelkämper; Houssem Ben Lahmar (VLDB J., 2017)

Capturing and Querying Structural Provenance in Spark with Pebble. - Ralf Diestelkämper; Melanie Herschel (SIGMOD Conference, 2019)

Query-based Why-not Explanations for Nested Data. - Ralf Diestelkämper; Boris Glavic; Melanie Herschel; Seokki Lee (TaPP, 2019)

Distributed Tree-Pattern Matching in Big Data Analytics Systems. - Ralf Diestelkämper; Melanie Herschel (ADBIS, 2020)

Tracing nested data with structural provenance for big data analytics. - Ralf Diestelkämper; Melanie Herschel (EDBT, 2020)

To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data. - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (SIGMOD Conference, 2021)

To not miss the forest for the trees - a holistic approach for explaining missing answers over nested data (extended version). - Ralf Diestelkämper; Seokki Lee; Melanie Herschel; Boris Glavic (CoRR, 2021)

Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb. - Ralf Diestelkämper; Seokki Lee; Boris Glavic; Melanie Herschel (Proc. VLDB Endow., 2021)

Explaining existing and missing results over nested data in big data analytics systems. - Ralf Diestelkämper (2021)

CheDDaR: Checking Data - Data Quality Report. - Indra Diestelkämper; Ralf Diestelkämper; Valerie Restat (BTW, 2025)

A User-Centric Evaluation of a Continuing Education Course Recommender System. - Floris Karl Scherb; Dirk Ifenthaler; Philipp Von Bachmann; Ralf Diestelkämper (EDUCON, 2025)