Miroslav Janíček
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Social Psychology
- Aerospace Engineering
- Co-authors
- Marc HanheideNick HawesGeert-Jan KruijffHendrik ZenderGeert-Jan M. KruijffAndrzej PronobisKristoffer SjööPatric Jensfelt
- Topics
- AI-based Problem Solving and Planning (5 papers)Speech and dialogue systems (3 papers)Semantic Web and Ontologies (3 papers)
In The Last Decade
Miroslav Janíček
10 papers receiving 167 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 117
- Computer Vision and Pattern Recognition 63
- Control and Systems Engineering 33
- Social Psychology 28
- Aerospace Engineering 16
Countries citing papers authored by Miroslav Janíček
This map shows the geographic impact of Miroslav Janíček'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 Miroslav Janíček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Janíček more than expected).
Fields of papers citing papers by Miroslav Janíček
This network shows the impact of papers produced by Miroslav Janíček. 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 Miroslav Janíček. The network helps show where Miroslav Janíček may publish in the future.
Co-authorship network of co-authors of Miroslav Janíček
This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Janíček. A scholar is included among the top collaborators of Miroslav Janíček 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 Miroslav Janíček. Miroslav Janíček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 96 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | Abductive Reasoning for Continual Dialogue Understanding. | 5 |
| 6 | 20 | |
| 7 | 7 | |
| 8 | A basic cognitive system for interactive continuous learning of visual concepts | 13 |
| 9 | A basic cognitive system for interactive learning of simple visual concepts | 0 |
| 10 | 10 | |
| 11 | CzEng 0.7: Parallel Corpus with Community-Supplied Translations | 6 |
| 12 | Pyrotechnická ochrana před terorismem. | 1 |
About Miroslav Janíček
Miroslav Janíček is a scholar working on Artificial Intelligence, Animal Science and Zoology and Computer Networks and Communications, having authored 12 papers that have together received 186 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (5 papers), Speech and dialogue systems (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (117 citations), Computer Vision and Pattern Recognition (63 citations) and Control and Systems Engineering (33 citations). Miroslav Janíček has collaborated with scholars based in Germany, Austria and Slovenia. Frequent co-authors include Marc Hanheide, Nick Hawes, Geert-Jan Kruijff, Hendrik Zender, Geert-Jan M. Kruijff, Andrzej Pronobis, Kristoffer Sjöö, Patric Jensfelt, Charles Gretton and Moritz Göbelbecker. Their work appears in journals such as Artificial Intelligence, Journal of Food Composition and Analysis and IEEE Intelligent Systems.
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.