Tom Kocmi
Impact in
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- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Reinforcement Learning in Robotics
Papers in
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- Natural Language Processing Techniques 23
- Topic Modeling 19
- Text Readability and Simplification 6
- Speech Recognition and Synthesis 3
- Advanced Text Analysis Techniques 2
- Semantic Web and Ontologies 2
- Authorship Attribution and Profiling 2
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- Multimodal Machine Learning Applications 3
- Co-authors
- Ondřej Bojar (10 shared papers)Jindřich Helcl (2 shared papers)Jindřich Libovický (2 shared papers)Christian Federmann (2 shared papers)Liang Ding (1 shared paper)Jan Hajič (1 shared paper)Dušan Variš (2 shared papers)Kanjian Zhang (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Language Resources and Evaluation (1 paper)Edinburgh Research Explorer (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Waseda University Repository (Waseda University) (1 paper)
- Partner nations
- CzechiaUnited StatesSwitzerland
In The Last Decade
Tom Kocmi
21 papers receiving 83 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 83
- Health Informatics 2
- Computer Vision and Pattern Recognition 30
- Anatomy 1
- General Decision Sciences 1
Countries citing papers authored by Tom Kocmi
This map shows the geographic impact of Tom Kocmi'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 Tom Kocmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Kocmi more than expected).
Fields of papers citing papers by Tom Kocmi
This network shows the impact of papers produced by Tom Kocmi. 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 Tom Kocmi. The network helps show where Tom Kocmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Kocmi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 19 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 8 | |
| 4 | 2019 | 7 | |
| 5 | SumeCzech: Large Czech News-Based Summarization Dataset. | 2018 | 6 |
| 6 | 2017 | 5 | |
| 7 | 2024 | 4 | |
| 8 | Neural Monkey: The Current State and Beyond | 2018 | 4 |
| 9 | 2017 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | An Exploration of Word Embedding Initialization in Deep-Learning Tasks | 2017 | 1 |
| 19 | 2024 | 1 | |
| 20 | CUNI NMT System for WAT 2017 Translation Tasks | 2017 | 1 |
About Tom Kocmi
Tom Kocmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Control and Systems Engineering and Computational Theory and Mathematics, having authored 28 papers that have together received 87 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers), Text Readability and Simplification (6 papers), Multimodal Machine Learning Applications (3 papers), Speech Recognition and Synthesis (3 papers), Advanced Text Analysis Techniques (2 papers), Semantic Web and Ontologies (2 papers) and Authorship Attribution and Profiling (2 papers). The work is most often cited by research in Artificial Intelligence (83 citations), Health Informatics (2 citations), Computer Vision and Pattern Recognition (30 citations), Anatomy (1 citation) and General Decision Sciences (1 citation). Tom Kocmi has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include Ondřej Bojar, Jindřich Helcl, Jindřich Libovický, Christian Federmann, Liang Ding, Jan Hajič, Dušan Variš, Kanjian Zhang, Brian J. Thompson and Alon Lavie. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation, Edinburgh Research Explorer, Edinburgh Research Explorer (University of Edinburgh) and Waseda University Repository (Waseda University).
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.