Countries citing papers authored by Bernd Michaelis
Since
Specialization
Citations
This map shows the geographic impact of Bernd Michaelis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bernd Michaelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Michaelis more than expected).
This network shows the impact of papers produced by Bernd Michaelis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bernd Michaelis. The network helps show where Bernd Michaelis may publish in the future.
Co-authorship network of co-authors of Bernd Michaelis
This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Michaelis.
A scholar is included among the top collaborators of Bernd Michaelis based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bernd Michaelis. Bernd Michaelis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Frommer, Jörg, Bernd Michaelis, Dietmar Rösner, et al.. (2012). Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. Language Resources and Evaluation. 3064–3069.9 indexed citations
Elmezain, Mahmoud, Ayoub Al-Hamadi, & Bernd Michaelis. (2009). A Novel System for Automatic Hand Gesture Spotting and Recognition in Stereo Color Image.. International Conference in Central Europe on Computer Graphics and Visualization. 17. 89–96.3 indexed citations
6.
Niese, Robert, et al.. (2009). Towards Pain Recognition in Post-Operative Phases Using 3D-based Features From Video and Support Vector Machines.. International Journal of Digital Content Technology and its Applications. 3. 21–25.24 indexed citations
Elmezain, Mahmoud, Ayoub Al-Hamadi, & Bernd Michaelis. (2008). Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Color Image Sequences.. Digital Library (University of West Bohemia). 16. 65–72.53 indexed citations
9.
Herzog, Andreas, et al.. (2008). Simulation of a recurrent neurointerface with sparse electrical connections. The European Symposium on Artificial Neural Networks. 391–396.1 indexed citations
Herzog, Andreas, et al.. (2007). Transition from initialization to working stage in biologically realistic networks.. The European Symposium on Artificial Neural Networks. 421–426.3 indexed citations
12.
Kuhn, Robert W., et al.. (2006). Hardware Approach for Real Time Machine Stereo Vision. SHILAP Revista de lepidopterología.3 indexed citations
13.
Herzog, Andreas, et al.. (2006). Connection strategies in neocortical networks. The European Symposium on Artificial Neural Networks. 215–220.7 indexed citations
Michaelis, Bernd, et al.. (2006). An Intelligent Paradigm for Multi-Objects Tracking in Crowded Environment. Journal of Digital Information Management. 4(3). 184–191.1 indexed citations
16.
Herzog, Andreas, et al.. (2005). Spike-timing-dependent plasticity in 'small world' networks.. The European Symposium on Artificial Neural Networks. 601–606.3 indexed citations
17.
Herzog, Andreas, et al.. (2004). Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony.. The European Symposium on Artificial Neural Networks. 379–384.10 indexed citations
18.
Herzog, Andreas, et al.. (2004). Learning by geometrical shape changes of dendritic spines.. The European Symposium on Artificial Neural Networks. 385–390.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.