Lukáš Picek
Impact in
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- Species Distribution and Climate Change
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- Cell Image Analysis Techniques
Papers in
- Genetics 5
- Venomous Animal Envenomation and Studies 3
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- Smart Agriculture and AI 3
- Mycorrhizal Fungi and Plant Interactions 2
- Co-authors
- Jiřı́ Matas (7 shared papers)Milan Šulc (7 shared papers)Jacob Heilmann‐Clausen (4 shared papers)Thomas Stjernegaard Jeppesen (3 shared papers)Isabelle Bolon (3 shared papers)Andrew M. Durso (3 shared papers)Yash Patel (1 shared paper)Kostas Papafitsoros (3 shared papers)
- Journals
- Frontiers in Plant Science (1 paper)PLoS neglected tropical diseases (1 paper)Sensors (1 paper)Field Mycology (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- CzechiaUnited KingdomFrance
In The Last Decade
Lukáš Picek
14 papers receiving 148 citations
Peers
Comparison fields: 5 of 57
- Ecological Modeling 22
- Biophysics 17
- Virology 9
- Analytical Chemistry 18
- Plant Science 53
Countries citing papers authored by Lukáš Picek
This map shows the geographic impact of Lukáš Picek'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 Lukáš Picek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukáš Picek more than expected).
Fields of papers citing papers by Lukáš Picek
This network shows the impact of papers produced by Lukáš Picek. 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 Lukáš Picek. The network helps show where Lukáš Picek may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukáš Picek, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 34 | |
| 2 | 2022 | 25 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2024 | 12 | |
| 7 | Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level Focus. | 2021 | 9 |
| 8 | 2024 | 9 | |
| 9 | Plant Recognition by Inception Networks with Test-time Class Prior Estimation. | 2018 | 6 |
| 10 | Recognition of the Amazonian flora by Inception Networks with Test-time Class Prior Estimation | 2019 | 5 |
| 11 | Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks. | 2020 | 4 |
| 12 | Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge. | 2020 | 3 |
| 13 | 2022 | 3 | |
| 14 | 2025 | 2 | |
| 15 | Sketch2Code: Automatic hand-drawn UI Elements Detection with Faster-RCNN. | 2020 | 1 |
| 16 | 2025 | 0 | |
| 17 | A Deep Learning Method for Visual Recognition of Snake Species. | 2021 | 0 |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Lukáš Picek
Lukáš Picek is a scholar working on Genetics, Plant Science, Ecological Modeling, Molecular Biology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 157 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Amphibian and Reptile Biology (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Venomous Animal Envenomation and Studies (3 papers), Smart Agriculture and AI (3 papers), Wildlife Ecology and Conservation (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Ecological Modeling (22 citations), Biophysics (17 citations), Virology (9 citations), Analytical Chemistry (18 citations) and Plant Science (53 citations). Lukáš Picek has collaborated with scholars based in Czechia, United Kingdom and France. Frequent co-authors include Jiřı́ Matas, Milan Šulc, Jacob Heilmann‐Clausen, Thomas Stjernegaard Jeppesen, Isabelle Bolon, Andrew M. Durso, Yash Patel, Kostas Papafitsoros, Lukáš Adam and François Chappuis. Their work appears in journals such as Frontiers in Plant Science, PLoS neglected tropical diseases, Sensors, Field Mycology and 2022 IEEE International Conference on Image Processing (ICIP).
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.