Jakub Kanis

468 total citations
18 papers, 145 citations indexed

About

Jakub Kanis is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jakub Kanis has authored 18 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Jakub Kanis's work include Hand Gesture Recognition Systems (11 papers), Human Pose and Action Recognition (7 papers) and Natural Language Processing Techniques (6 papers). Jakub Kanis is often cited by papers focused on Hand Gesture Recognition Systems (11 papers), Human Pose and Action Recognition (7 papers) and Natural Language Processing Techniques (6 papers). Jakub Kanis collaborates with scholars based in Czechia. Jakub Kanis's co-authors include Marek Hrúz, Luděk Müller, Miloš Železný, Josef Psutka, Lukáš Müller, Petr Císař, J. Straka, Pavel Jedlička and Filip Jurčíček and has published in prestigious journals such as IEEE Access, Sensors and Lecture notes in computer science.

In The Last Decade

Jakub Kanis

16 papers receiving 139 citations

Peers

Jakub Kanis
Shruti Palaskar United States
The Duy Bui Vietnam
Jiuqiang Tang United States
Riku Arakawa United States
Marek Hrúz Czechia
Esha Uboweja United States
Ming Yong China
Jakub Kanis
Citations per year, relative to Jakub Kanis Jakub Kanis (= 1×) peers Shengeng Tang

Countries citing papers authored by Jakub Kanis

Since Specialization
Citations

This map shows the geographic impact of Jakub Kanis'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 Jakub Kanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Kanis more than expected).

Fields of papers citing papers by Jakub Kanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Kanis. 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 Jakub Kanis. The network helps show where Jakub Kanis may publish in the future.

Co-authorship network of co-authors of Jakub Kanis

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Kanis. A scholar is included among the top collaborators of Jakub Kanis 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 Jakub Kanis. Jakub Kanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kanis, Jakub, et al.. (2023). MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image. Sensors. 23(12). 5509–5509. 4 indexed citations
2.
Hrúz, Marek, et al.. (2022). One Model is Not Enough: Ensembles for Isolated Sign Language Recognition. Sensors. 22(13). 5043–5043. 27 indexed citations
3.
Hrúz, Marek, et al.. (2021). Hand Pose Estimation in the Task of Egocentric Actions. IEEE Access. 9. 10533–10547. 2 indexed citations
4.
Hrúz, Marek, et al.. (2021). Mutual Support of Data Modalities in the Task of Sign Language Recognition. Digital Library (University of West Bohemia). 3419–3428. 15 indexed citations
5.
Jedlička, Pavel, et al.. (2020). Sign Language Motion Capture Dataset for Data-driven Synthesis. Language Resources and Evaluation. 101–106. 3 indexed citations
6.
Kanis, Jakub, et al.. (2020). Neural Sign Language Synthesis: Words Are Our Glosses. Digital Library (University of West Bohemia). 3384–3392. 43 indexed citations
7.
Kanis, Jakub, et al.. (2011). A Methodology for Automatic Sign Language Dictionary Creation. 69–78. 1 indexed citations
8.
Kanis, Jakub, et al.. (2008). Czech Text-to-Sign Speech Synthesizer. Lecture notes in computer science. 1. 7 indexed citations
9.
Kanis, Jakub, et al.. (2008). Interactive HamNoSys Notation Editor for Signed Speech Annotation. Digital Library (University of West Bohemia). 2 indexed citations
10.
Kanis, Jakub & Luděk Müller. (2007). Automatic Czech - Sign Speech Translation. Digital Library (University of West Bohemia). 2 indexed citations
11.
Kanis, Jakub, et al.. (2006). Czech-sign speech corpus for semantic based machine translation. Digital Library (University of West Bohemia). 3 indexed citations
12.
Psutka, Josef, et al.. (2006). Adaptive language model in automatic online subtitling. Computational intelligence. 366–370.
13.
Kanis, Jakub, et al.. (2006). Automatic online subtitling of the Czech parliament meetings. 15 indexed citations
14.
15.
Kanis, Jakub, et al.. (2006). 3D symbol based translation and synthesis of Czech sign speech. 1 indexed citations
16.
Kanis, Jakub & Luděk Müller. (2005). Using lemmatization technique for automatic diacritics restoration. Digital Library (University of West Bohemia). 3 indexed citations
17.
Císař, Petr, et al.. (2005). Design and recording of Czech speech corpus for audio-visual continuous speech recognition. 93–96. 10 indexed citations
18.
Kanis, Jakub, et al.. (2005). Automatic numbers normalization in inflectional languages. Digital Library (University of West Bohemia).

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.

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