Pavel Král
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Aerospace Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ladislav LencChristophe CerisaraHarris PapadopoulosTomáš BrychcínVáclav MatoušekDalibor FialaEva PetterssonFrancesco Saverio D'Auria
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (17 papers)Speech and dialogue systems (9 papers)
In The Last Decade
Pavel Král
48 papers receiving 300 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 167
- Computer Vision and Pattern Recognition 127
- Signal Processing 37
- Aerospace Engineering 23
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Pavel Král
This map shows the geographic impact of Pavel Král'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 Pavel Král with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Král more than expected).
Fields of papers citing papers by Pavel Král
This network shows the impact of papers produced by Pavel Král. 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 Pavel Král. The network helps show where Pavel Král may publish in the future.
Co-authorship network of co-authors of Pavel Král
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Král. A scholar is included among the top collaborators of Pavel Král 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 Pavel Král. Pavel Král is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Czech Historical Named Entity Corpus v 1.0 | 4 |
| 14 | Ensemble of Neural Networks for Multi-label Document Classification. | 2 |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | Dialogue Act Recognition Approaches | 13 |
| 19 | 2 | |
| 20 | Importance of Prosody for Dialogue Acts Recognition | 0 |
About Pavel Král
Pavel Král is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 329 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Artificial Intelligence (167 citations) and Signal Processing (37 citations). Pavel Král has collaborated with scholars based in Czechia, France and Germany. Frequent co-authors include Ladislav Lenc, Christophe Cerisara, Harris Papadopoulos, Tomáš Brychcín, Václav Matoušek, Dalibor Fiala, Eva Pettersson, Francesco Saverio D'Auria, Evžen Losa and Carl A. Castro. Their work appears in journals such as Pattern Recognition, Machine Learning and Information Fusion.
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.