Ladislav Lenc
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Handwritten Text Recognition Techniques
- Face recognition and analysis
- Artificial Intelligence top 10%
- Text and Document Classification Technologies
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
Papers in
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- Face and Expression Recognition 7
- Handwritten Text Recognition Techniques 6
- Face recognition and analysis 5
- Image Retrieval and Classification Techniques 5
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- Topic Modeling 7
- Advanced Text Analysis Techniques 6
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 4
- Co-authors
- Pavel Král (22 shared papers)Harris Papadopoulos (3 shared papers)Josef Steinberger (1 shared paper)Vincent Christlein (2 shared papers)Anguelos Nicolaou (1 shared paper)Christophe Cerisara (1 shared paper)
In The Last Decade
Ladislav Lenc
21 papers receiving 207 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 122
- Signal Processing 23
- Media Technology 13
- Neurology 9
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-authors
The 6 scholars most cited alongside Ladislav Lenc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2015 | 40 | |
| 3 | 2020 | 37 | |
| 4 | 2016 | 36 | |
| 5 | Detecting Stance in Czech News Commentaries. | 2017 | 12 |
| 6 | 2016 | 9 | |
| 7 | 2017 | 9 | |
| 8 | 2018 | 5 | |
| 9 | Neural Networks for Sentiment Analysis in Czech. | 2016 | 5 |
| 10 | 2017 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2011 | 3 | |
| 16 | Ensemble of Neural Networks for Multi-label Document Classification. | 2017 | 2 |
| 17 | 2020 | 2 | |
| 18 | 2018 | 2 | |
| 19 | A Deep Neural Network Conformal Predictor for Multi-label Text Classification | 2019 | 2 |
| 20 | 2014 | 1 |
About Ladislav Lenc
Ladislav Lenc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Molecular Biology and Social Psychology, having authored 27 papers that have together received 229 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Face and Expression Recognition (7 papers), Advanced Text Analysis Techniques (6 papers), Handwritten Text Recognition Techniques (6 papers), Face recognition and analysis (5 papers), Image Retrieval and Classification Techniques (5 papers), Natural Language Processing Techniques (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (122 citations), Signal Processing (23 citations), Media Technology (13 citations) and Neurology (9 citations). Ladislav Lenc has collaborated with scholars based in Czechia, Germany and Cyprus. Frequent co-authors include Pavel Král, Harris Papadopoulos, Josef Steinberger, Vincent Christlein, Anguelos Nicolaou and Christophe Cerisara. Their work appears in journals such as Neural Computing and Applications, Computers & Electrical Engineering, International Journal on Document Analysis and Recognition (IJDAR), Evolving Systems and Pattern Recognition.
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.