Lukáš Žilka

1.2k total citations
8 papers, 58 citations indexed

About

Lukáš Žilka is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Lukáš Žilka has authored 8 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Communication and 1 paper in Information Systems. Recurrent topics in Lukáš Žilka's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Speech and dialogue systems (4 papers). Lukáš Žilka is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Speech and dialogue systems (4 papers). Lukáš Žilka collaborates with scholars based in Czechia, Hong Kong and United States. Lukáš Žilka's co-authors include Petr Knoth, Zdeněk Zdráhal, Filip Jurčíček, Ondřej Dušek, Chung‐Cheng Chiu, Golan Pundak, Yu Zhang, Maria Maleshkova, Izhak Shafran and Nanxin Chen and has published in prestigious journals such as Language Resources and Evaluation, Annual Meeting of the Special Interest Group on Discourse and Dialogue and Open Research Online (The Open University).

In The Last Decade

Lukáš Žilka

6 papers receiving 48 citations

Peers

Lukáš Žilka
Comparison fields: 5 of 12
  • Artificial Intelligence 53
  • Information Systems 12
  • Communication 6
  • Computer Vision and Pattern Recognition 6
  • Signal Processing 5
Replace Cher Han Lau with:
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Hagai Taitelbaum Israel
George Zerveas United States
Sebastin Santy United States
Ji-Ung Lee Germany
Youwei Song China
Daniil Mirylenka Italy
Alex Polozov United States
Sushant Prakash United States
Anna Potapenko Russia
Cher Han Lau Australia View profile →
Citations per field, relative to Lukáš Žilka
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Citations per year, relative to Lukáš Žilka
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Countries citing papers authored by Lukáš Žilka

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Žilka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Žilka

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 11
2 0
3
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license
9
4
Vystadial 2013 – Czech data
1
5
Comparison of Bayesian Discriminative and Generative Models for Dialogue State Tracking
16
6
KMI, The Open University at NTCIR-9 CrossLink: Cross-Lingual Link Discovery in Wikipedia Using Explicit Semantic Analysis
5
7
Cross-lingual web API classification and annotation
4
8
Using Explicit Semantic Analysis for Cross-Lingual Link Discovery
12

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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