Performance Management Approach for Digital Platforms in B Markets
L. Özcan, L. Kirchberg, C. Koldewey, R. Dumitrescu, in: I. Bitran, L. Bitetti, S.  Conn, J. Fishburn, E. Huizingh, M. Torkkeli, J. Yang (Eds.), The Role of Innovation: Past, Present, Future, Athens, 2022.

Hyphenation of ultra-high-performance liquid chromatography and ion mobility mass spectrometry for the analysis of sequence-defined oligomers with different functionalities and tacticity
M.-T. Berg, A. Herberg, D. Kuckling, International Journal of Polymer Analysis and Characterization (2022) 1–12.

Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie
T.F. Auer, die hochschullehre 8 (2022) 662–675.

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.

Module-Inverters (Microinverters): Influence of Module Size on Conversion Efficiencies and Energy Yields
S. Krauter, J. Bendfeld, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2021), 2021, pp. 659–663.

Elevated Temperatures Affecting Efficiency, Overall Performance and Energy Yield of PV Microinverters
S. Krauter, J. Bendfeld, in: Proceedings of the EU PVSEC 2020 , 2020, pp. 1179–1180.

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.

A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).

Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships
N. Hüther, D.T. Robinson, S. Sievers, T. Hartmann-Wendels, Management Science (VHB-JOURQUAL 3 Ranking A+) 66 (2019) 1756–1782.

Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm
G. Rauchecker, G. Schryen, Computers &; Operations Research (2019) 338–357.

Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe
B. Hippert, A. Uhde, S.T. Wengerek, Review of Derivatives Research  22 (2019) 203–259.

Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.

Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.

Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.

Paying for Performance in Private Equity: Evidence from VC Partnerships
N. Hüther, D. Robinson, S. Sievers, T. Hartmann-Wendels, SSRN Electronic Journal (2017).

Computational self-awareness as design approach for visual sensor nodes
Z. Guettatfi, P. Hübner, M. Platzner, B. Rinner, in: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic
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Advancing Research on Loyalty Programs: A Future Research Agenda.
E. Breugelmans, T.H.A. Bijmolt, J. Zhang, L.J. Basso, M. Dorotic, P. Kopalle, A. Minnema, W.J. Mijnlieff, N. Wünderlich, Marketing Letters 26 (2015) 127–139.

A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms
N. Ho, P. Kaufmann, M. Platzner, in: 24th Intl. Conf. on Field Programmable Logic and Applications (FPL), 2014, pp. 1–4.