Modeling for Simulation and Control of a X-Y High Precision Positioning Table. - Jan Zimmermann; Oliver Sawodny (CASE, 2007)

Kinodynamic planning - an analytical approximation with Cn polynomials for industrial application. - Thomas Ruppel; Nico Zimmert; Jan Zimmermann; Oliver Sawodny (CCA, 2008)

Motion Planning for an Autonomous Vehicle Driving on Motorways by using Flatness Properties. - Yanfeng Cong; Oliver Sawodny; Hong Chen; Jan Zimmermann; Alexander Lütz (CCA, 2010)

Body image distortions in bulimia nervosa: Investigating body size overestimation and body size satisfaction by fMRI. - Harald Matthias Mohr; Christian Röder; Jan Zimmermann; Dennis Hummel; Alexa Negele; Ralph Grabhorn (NeuroImage, 2011)

Beyond revenge: Neural and genetic bases of altruistic punishment. - Alexander Strobel; Jan Zimmermann; Anja Schmitz; Martin Reuter 003; Stefanie Lis; Sabine Windmann; Peter Kirsch 001 (NeuroImage, 2011)

Network-based statistics for a community driven transparent publication process. - Jan Zimmermann; Alard Roebroeck; Kâmil Uludag; Alexander Thomas Sack; Elia Formisano; Bernadette M. Jansma; Peter De Weerd; Rainer Goebel (Frontiers Comput. Neurosci., 2012)

Decoding the direction of imagined visual motion using 7 T ultra-high field fMRI. - Thomas C. Emmerling; Jan Zimmermann; Bettina Sorger; Martin A. Frost; Rainer Goebel (NeuroImage, 2016)

Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid. - Tatiana Tatarenko; Jan Zimmermann; Volker Willert; Jürgen Adamy (CDC, 2019)

Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (Autom., 2019)

Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (CDC, 2020)

Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (CoRR, 2020)

Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (CoRR, 2020)

Ultra-high field (10.5 T) resting state fMRI in the macaque. - Essa Yacoub; Mark D. Grier; Edward J. Auerbach; Russell Luke Lagore; Noam Harel; Gregor Adriany; Anna Zilverstand; Benjamin Y. Hayden; Sarah R. Heilbronner; Kâmil Ugurbil; Jan Zimmermann (NeuroImage, 2020)

Gradient Play in n-Cluster Games with Zero-Order Information. - Tatiana Tatarenko; Jan Zimmermann; Jürgen Adamy (CDC, 2021)

Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (CoRR, 2021)

Solving leaderless multi-cluster games over directed graphs. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (Eur. J. Control, 2021)

Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection. - Joonas A. A. Autio; Qi Zhu; Xiaolian Li; Matthew F. Glasser; Caspar M. Schwiedrzik; Damien A. Fair; Jan Zimmermann; Essa Yacoub; Ravi S. Menon; David C. Van Essen; Takuya Hayashi 002; Brian E. Russ; et al. (NeuroImage, 2021)

Distributed optimization methods for N-cluster games. - Tatiana Tatarenko; Jan Zimmermann (Autom., 2022)

Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (Autom., 2022)

Projected gradient-tracking in multi-cluster games and its application to power management. - Jan Zimmermann; Tatiana Tatarenko; Volker Willert; Jürgen Adamy (CoRR, 2022)

Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development. - Kevin Luxem; Jennifer J. Sun; Sean P. Bradley; Keerthi Krishnan; Talmo D. Pereira; Eric A. Yttri; Jan Zimmermann; Mark Laubach (CoRR, 2022)

OpenApePose: a database of annotated ape photographs for pose estimation. - Nisarg Desai; Praneet C. Bala; Rebecca Richardson; Jessica Raper; Jan Zimmermann; Benjamin Y. Hayden (CoRR, 2022)

Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain. - Mark D. Grier; Essa Yacoub; Gregor Adriany; Russell Luke Lagore; Noam Harel; Ru-Yuan Zhang; Christophe Lenglet; Kâmil Ugurbil; Jan Zimmermann; Sarah R. Heilbronner (NeuroImage, 2022)

A custom MR-compatible dataglove for fMRI of the human motor cortex at 7T. - Shota Hodono; Jin Jin; Jan Zimmermann; Donald Maillet; David C. Reutens; Martijn A. Cloos (EMBC, 2023)

OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Estimation of Non-human Primates. - Yuan Yao; Praneet C. Bala; Abhiraj Mohan; Eliza Bliss-Moreau; Kristine Coleman; Sienna M. Freeman; Christopher J. Machado; Jessica Raper; Jan Zimmermann; Benjamin Y. Hayden; Hyun Soo Park (Int. J. Comput. Vis., 2023)

Verteilte Methoden zur Lösung von beschränkten Optimierungsproblemen in Multiagentensystemen. - Jan Zimmermann (2023)

Self-supervised Secondary Landmark Detection via 3D Representation Learning. - Praneet C. Bala; Jan Zimmermann; Hyun Soo Park; Benjamin Y. Hayden (Int. J. Comput. Vis., 2023)

Anatomical details affect electric field predictions for non-invasive brain stimulation in non-human primates. - Kathleen Mantell; Nipun D. Perera; Sina Shirinpour; Oula Puonti; Ting Xu; Jan Zimmermann; Arnaud Falchier; Sarah R. Heilbronner; Axel Thielscher; Alexander Opitz (NeuroImage, 2023)

Benefit Evaluation of V2X-Enhanced Braking in View Obstructed Crossing Use Cases. - Jan Zimmermann; Ignacio Llatser; Michael Scherl; Florian Wildschütte; Frank Hofmann (ITSC, 2024)

How effective is immersive VR for vocational education? Analyzing knowledge gains and motivational effects. - Herbert Thomann; Jan Zimmermann; Viola Deutscher (Comput. Educ., 2024)

Analyzing the performance of a V2X-enhanced braking system in real-world crash situations. - Jan Zimmermann; Jörg Mönnich; Michael Scherl; Ignacio Llatser; Florian Wildschütte; Frank Hofmann (VNC, 2025)