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).
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-authorship network of co-authors of Lukáš Picek
This figure shows the co-authorship network connecting the top 25 collaborators of Lukáš Picek.
A scholar is included among the top collaborators of Lukáš Picek 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 Lukáš Picek. Lukáš Picek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Picek, Lukáš, et al.. (2021). Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level Focus.. Digital Library (University of West Bohemia). 1463–1476.8 indexed citations
14.
Šulc, Milan, et al.. (2021). A Deep Learning Method for Visual Recognition of Snake Species.. Digital Library (University of West Bohemia). 1512–1525.
15.
Picek, Lukáš, et al.. (2020). Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks.. Digital Library (University of West Bohemia).4 indexed citations
16.
Picek, Lukáš, et al.. (2020). Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge.. Digital Library (University of West Bohemia).3 indexed citations
17.
Picek, Lukáš, et al.. (2020). Sketch2Code: Automatic hand-drawn UI Elements Detection with Faster-RCNN.. Digital Library (University of West Bohemia).1 indexed citations
18.
Šulc, Milan, Lukáš Picek, Jiřı́ Matas, Thomas Stjernegaard Jeppesen, & Jacob Heilmann‐Clausen. (2020). Fungi Recognition: A Practical Use Case. Digital Library (University of West Bohemia). 2305–2313.15 indexed citations
19.
Picek, Lukáš, Milan Šulc, & Jiřı́ Matas. (2019). Recognition of the Amazonian flora by Inception Networks with Test-time Class Prior Estimation. Digital Library (University of West Bohemia).5 indexed citations
20.
Šulc, Milan, Lukáš Picek, & Jiřı́ Matas. (2018). Plant Recognition by Inception Networks with Test-time Class Prior Estimation.. CLEF (Working Notes).6 indexed citations
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.