Systematic Identification of Service-Blueprints for Service-Processes - A Method and Exemplary Application - (Research Paper). - Thomas Kleinert; Silke Balzert; Peter Fettke; Peter Loos (Business Process Management Workshops, 2012)

Towards an IT Solution to Support Reflective Learning at the Workplace. - Silke Balzert; Daniel Wessel; Thomas Kleinert; Kristin Knipfer; Peter Fettke (ECIS, 2012)

Reflecting on Application Development for Organizational Reflective Learning Support. - Thomas Kleinert; Tobias Dumont; Peter Fettke; Peter Loos (AMCIS, 2014)

Kundengetriebene Interaktionen in Software-Customizing Projekten: Erkenntnisse einermulti-methodischen Fallstudie. - Matthias Bertram; Mario Schaarschmidt; Harald F. O. von Korfleisch; Marc Gräßle; Thomas Kleinert; Peter Fettke; Peter Loos (MKWI, 2014)

Softwareauswahl in kleinen und mittelständischen Unternehmen (KMU) - Gegenüberstellungund Bewertung von Vorgehensmodellen zur Auswahl betrieblicher Anwendungssoftware. - Marius Schönberger; Thomas Kleinert; Tobias Dumont; Peter Fettke; Peter Loos (MKWI, 2014)

Results of a Qualitative Survey about the AP-Plication of Business Information Systems in German Craft Enterprises - First Findings of an Ongoing Research Project. - Marius Schönberger; Thomas Kleinert (ECIS, 2016)

Global optimization of multilevel electricity market models including network design and graph partitioning. - Thomas Kleinert; Martin Schmidt 003 (Discret. Optim., 2019)

Optimal price zones of electricity markets: a mixed-integer multilevel model and global solution approaches. - Veronika Grimm; Thomas Kleinert; Frauke Liers; Martin Schmidt 003; Gregor Zöttl (Optim. Methods Softw., 2019)

On electricity market equilibria with storage: Modeling, uniqueness, and a distributed ADMM. - Julia Grübel; Thomas Kleinert; Vanessa Krebs; Galina Orlinskaya; Lars Schewe; Martin Schmidt 003; Johannes Thürauf (Comput. Oper. Res., 2020)

Technical Note - There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization. - Thomas Kleinert; Martine Labbé; Fränk Plein; Martin Schmidt 003 (Oper. Res., 2020)

A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization. - Thomas Kleinert; Martine Labbé; Ivana Ljubic; Martin Schmidt 003 (EURO J. Comput. Optim., 2021)

Presolving linear bilevel optimization problems. - Thomas Kleinert; Julian Manns; Martin Schmidt 003; Dieter Weninger (EURO J. Comput. Optim., 2021)

The impact of neighboring markets on renewable locations, transmission expansion, and generation investment. - Jonas Egerer; Veronika Grimm; Thomas Kleinert; Martin Schmidt 003; Gregor Zöttl (Eur. J. Oper. Res., 2021)

Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method. - Thomas Kleinert; Martin Schmidt 003 (INFORMS J. Comput., 2021)

Outer approximation for global optimization of mixed-integer quadratic bilevel problems. - Thomas Kleinert; Veronika Grimm; Martin Schmidt 003 (Math. Program., 2021)

Closing the gap in linear bilevel optimization: a new valid primal-dual inequality. - Thomas Kleinert; Martine Labbé; Fränk Plein; Martin Schmidt 003 (Optim. Lett., 2021)

Computational Linear Bilevel Optimization. - Thomas Kleinert (OR, 2022)

The cost of decoupling trade and transport in the European entry-exit gas market with linear physics modeling. - T. Böttger; Veronika Grimm; Thomas Kleinert; Martin Schmidt 003 (Eur. J. Oper. Res., 2022)

On convex lower-level black-box constraints in bilevel optimization with an application to gas market models with chance constraints. - Holger Heitsch; René Henrion; Thomas Kleinert; Martin Schmidt 003 (J. Glob. Optim., 2022)

On piecewise linear approximations of bilinear terms: structural comparison of univariate and bivariate mixed-integer programming formulations. - Andreas Bärmann; Robert Burlacu; Lukas Hager; Thomas Kleinert (J. Glob. Optim., 2023)

Mixed-integer programming techniques for the minimum sum-of-squares clustering problem. - Jan Pablo Burgard; Carina Moreira Costa; Christopher Hojny; Thomas Kleinert; Martin Schmidt 003 (J. Glob. Optim., 2023)

Why there is no need to use a big-M in linear bilevel optimization: a computational study of two ready-to-use approaches. - Thomas Kleinert; Martin Schmidt 003 (Comput. Manag. Sci., 2023)