Albert Mukovskiy
- Cognitive Neuroscience
- Social Psychology top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Wolfram ErlhagenEstela BichoMartin A. GieseAlois KnollГ. Н. ПанинCsaba KissHarold BekkeringJesse van den Kieboom
- Topics
- Action Observation and Synchronization (5 papers)Human Motion and Animation (5 papers)Robotic Locomotion and Control (5 papers)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Albert Mukovskiy
19 papers receiving 220 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 101
- Social Psychology 87
- Control and Systems Engineering 82
- Biomedical Engineering 60
- Artificial Intelligence 33
Countries citing papers authored by Albert Mukovskiy
This map shows the geographic impact of Albert Mukovskiy'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 Albert Mukovskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Mukovskiy more than expected).
Fields of papers citing papers by Albert Mukovskiy
This network shows the impact of papers produced by Albert Mukovskiy. 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 Albert Mukovskiy. The network helps show where Albert Mukovskiy may publish in the future.
Co-authorship network of co-authors of Albert Mukovskiy
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Mukovskiy. A scholar is included among the top collaborators of Albert Mukovskiy 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 Albert Mukovskiy. Albert Mukovskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | Modeling of predictive human movement coordination patterns for applications in computer graphics | 4 |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 5 | |
| 12 | Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds. | 2 |
| 13 | 18 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | Selforganization of character behavior by mixing of learned movement primitives. | 3 |
| 17 | Self organized character animation based on learned synergies from full-body motion capture data | 6 |
| 18 | 14 | |
| 19 | 40 | |
| 20 | 56 |
About Albert Mukovskiy
Albert Mukovskiy is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Social Psychology, having authored 20 papers that have together received 230 indexed citations. Recurring topics across this work include Action Observation and Synchronization (5 papers), Human Motion and Animation (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Cognitive Neuroscience (101 citations), Social Psychology (87 citations) and Control and Systems Engineering (82 citations). Albert Mukovskiy has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Wolfram Erlhagen, Estela Bicho, Martin A. Giese, Alois Knoll, Г. Н. Панин, Csaba Kiss, Harold Bekkering, Jesse van den Kieboom, Auke Jan Ijspeert and Mostafa Ajallooeian. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Brain Research.
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.