Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Dive into the research topics where Ruben Mayer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
Merkel, N., Toussing, P., Mayer, R. & Jacobsen, H. A., 2025, In: Proceedings of the VLDB Endowment. 18, 2, p. 293-307 15 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems
Tahir, J., Mayer, R., Doblander, C. & Jacobsen, H. A., 2025, In: Proceedings of the VLDB Endowment. 18, 3, p. 585-598 14 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
The DEBS 2025 Grand Challenge: Real-Time Monitoring of Defects in Laser Powder Bed Fusion (L-PBF) Manufacturing
De Martini, L., Tahir, J., Margara, A., Doblander, C., Frischbier, S., Mayer, R. & Jacobsen, H. A., 9 Jun 2025, DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems. Association for Computing Machinery, Inc, p. 223-228 6 p. (DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Comprehensive Study on Benchmarking Permissioned Blockchains
Chacko, J. A., Mayer, R., Fekete, A., Gramoli, V. & Jacobsen, H. A., 2024, Performance Evaluation and Benchmarking - 15th TPC Technology Conference, TPCTC 2023, Revised Selected Papers. Nambiar, R. & Poess, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 18-33 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14247 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Merkel, N., Mayer, R., Stoll, D. & Jacobsen, H. A., 8 Jul 2024, Advances in Database Technology - EDBT. 1 ed. OpenProceedings.org, p. 171-184 14 p. (Advances in Database Technology - EDBT; vol. 28, no. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations