Ladislav Lenc
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing
- Radiology, Nuclear Medicine and Imaging
- Media Technology
- Co-authors
- Pavel KrálHarris PapadopoulosJosef SteinbergerVincent ChristleinAnguelos NicolaouChristophe Cerisara
- Topics
- Topic Modeling (7 papers)Face and Expression Recognition (7 papers)Handwritten Text Recognition Techniques (6 papers)
In The Last Decade
Ladislav Lenc
21 papers receiving 203 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 122
- Artificial Intelligence 121
- Signal Processing 24
- Radiology, Nuclear Medicine and Imaging 19
- Media Technology 13
Countries citing papers authored by Ladislav Lenc
This map shows the geographic impact of Ladislav Lenc'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 Ladislav Lenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ladislav Lenc more than expected).
Fields of papers citing papers by Ladislav Lenc
This network shows the impact of papers produced by Ladislav Lenc. 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 Ladislav Lenc. The network helps show where Ladislav Lenc may publish in the future.
Co-authorship network of co-authors of Ladislav Lenc
This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Lenc. A scholar is included among the top collaborators of Ladislav Lenc 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 Ladislav Lenc. Ladislav Lenc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | A Deep Neural Network Conformal Predictor for Multi-label Text Classification | 2 |
| 9 | 5 | |
| 10 | 2 | |
| 11 | Ensemble of Neural Networks for Multi-label Document Classification. | 2 |
| 12 | Detecting Stance in Czech News Commentaries. | 12 |
| 13 | 9 | |
| 14 | 5 | |
| 15 | Neural Networks for Sentiment Analysis in Czech. | 5 |
| 16 | 9 | |
| 17 | 36 | |
| 18 | 4 | |
| 19 | 41 | |
| 20 | 1 |
About Ladislav Lenc
Ladislav Lenc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 226 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Face and Expression Recognition (7 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Artificial Intelligence (121 citations) and Signal Processing (24 citations). Ladislav Lenc has collaborated with scholars based in Czechia, Cyprus and Germany. Frequent co-authors include Pavel Král, Harris Papadopoulos, Josef Steinberger, Vincent Christlein, Anguelos Nicolaou and Christophe Cerisara. Their work appears in journals such as Pattern Recognition, Machine Learning and Neural Computing and Applications.
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.