| Dynamic field theory of movement preparation. W Erlhagen, G Schöner Psychological review 109 (3), 545, 2002 | 726 | 2002 |
| The dynamic neural field approach to cognitive robotics W Erlhagen, E Bicho Journal of neural engineering 3 (3), R36, 2006 | 183 | 2006 |
| Parametric population representation of retinal location: neuronal interaction dynamics in cat primary visual cortex D Jancke, W Erlhagen, HR Dinse, AC Akhavan, M Giese, A Steinhage, ... Journal of Neuroscience 19 (20), 9016-9028, 1999 | 174 | 1999 |
| Prior information preshapes the population representation of movement direction in motor cortex A Bastian, A Riehle, W Erlhagen, G Schöner NeuroReport 9 (2), 315-319, 1998 | 172 | 1998 |
| The distribution of neuronal population activation (DPA) as a tool to study interaction and integration in cortical representations W Erlhagen, A Bastian, D Jancke, A Riehle, G Schöner Journal of neuroscience methods 94 (1), 53-66, 1999 | 162 | 1999 |
| Shorter latencies for motion trajectories than for flashes in population responses of cat primary visual cortex D Jancke, W Erlhagen, G Schöner, HR Dinse The Journal of physiology 556 (3), 971-982, 2004 | 153 | 2004 |
| Learning to time: A perspective A Machado, MT Malheiro, W Erlhagen Journal of the experimental analysis of behavior 92 (3), 423-458, 2009 | 142 | 2009 |
| Review of robotic technology for stereotactic neurosurgery C Faria, W Erlhagen, M Rito, E De Momi, G Ferrigno, E Bicho IEEE reviews in biomedical engineering 8, 125-137, 2015 | 124 | 2015 |
| Position-based kinematics for 7-DoF serial manipulators with global configuration control, joint limit and singularity avoidance C Faria, F Ferreira, W Erlhagen, S Monteiro, E Bicho Mechanism and Machine Theory 121, 317-334, 2018 | 116 | 2018 |
| Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning W Erlhagen, A Mukovskiy, E Bicho, G Panin, C Kiss, A Knoll, H Van Schie, ... Robotics and autonomous systems 54 (5), 353-360, 2006 | 110 | 2006 |
| Goals and means in action observation: A computational approach RH Cuijpers, HT van Schie, M Koppen, W Erlhagen, H Bekkering Neural Networks 19 (3), 311-322, 2006 | 105 | 2006 |
| Internal models for visual perception W Erlhagen Biological cybernetics 88 (5), 409-417, 2003 | 101 | 2003 |
| The dynamic neural field theory of motor programming: Arm and eye movements G Schöner, K Kopecz, W Erlhagen Advances in Psychology 119, 271-310, 1997 | 100 | 1997 |
| Neuro-cognitive mechanisms of decision making in joint action: A human–robot interaction study E Bicho, W Erlhagen, L Louro, EC e Silva Human movement science 30 (5), 846-868, 2011 | 93 | 2011 |
| A dynamic model for action understanding and goal-directed imitation W Erlhagen, A Mukovskiy, E Bicho Brain research 1083 (1), 174-188, 2006 | 86 | 2006 |
| Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction E Bicho, L Louro, W Erlhagen Frontiers in neurorobotics 4, 1222, 2010 | 76 | 2010 |
| Human-like arm motion generation: A review G Gulletta, W Erlhagen, E Bicho Robotics 9 (4), 102, 2020 | 62 | 2020 |
| Multi-constrained joint transportation tasks by teams of autonomous mobile robots using a dynamical systems approach T Machado, T Malheiro, S Monteiro, W Erlhagen, E Bicho 2016 IEEE international conference on robotics and automation (ICRA), 3111-3117, 2016 | 53 | 2016 |
| Dynamic field theory of motor programming W Erlhagen, G Schöner Psychological Review 109 (3), 545-572, 2002 | 48 | 2002 |
| Non-destructive whole-brain monitoring using nanorobots: Neural electrical data rate requirements NRB Martins, W Erlhagen, RA Freitas Jr International Journal of Machine Consciousness 4 (01), 109-140, 2012 | 47 | 2012 |
