Tom Kocmi
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 27
- Topic Modeling 23
- Text Readability and Simplification 7
- Speech Recognition and Synthesis 4
- Semantic Web and Ontologies 3
- Authorship Attribution and Profiling 2
- Advanced Text Analysis Techniques 2
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- Multimodal Machine Learning Applications 3
- Co-authors
- Ondřej Bojar (14 shared papers)Jindřich Libovický (3 shared papers)Christian Federmann (2 shared papers)Ondřej Dušek (2 shared papers)Michal Novák (1 shared paper)Jindřich Helcl (2 shared papers)Martin Popel (1 shared paper)Tomasz Limisiewicz (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Language Resources and Evaluation (1 paper)Lecture notes in computer science (1 paper)arXiv (Cornell University) (2 papers)Edinburgh Research Explorer (University of Edinburgh) (2 papers)
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Tom Kocmi
28 papers receiving 239 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 235
- Computer Vision and Pattern Recognition 84
- Health Informatics 2
- Language and Linguistics 10
- Anatomy 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2016 | 39 | |
| 3 | 2017 | 21 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2017 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2024 | 5 | |
| 12 | Neural Monkey: The Current State and Beyond | 2018 | 5 |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | SubGram: Extending Skip-gram Word Representation with Substrings | 2016 | 2 |
| 20 | 2023 | 2 |
About Tom Kocmi
Tom Kocmi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, General Social Sciences, Language and Linguistics and Computational Theory and Mathematics, having authored 33 papers that have together received 255 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (23 papers), Text Readability and Simplification (7 papers), Speech Recognition and Synthesis (4 papers), Semantic Web and Ontologies (3 papers), Multimodal Machine Learning Applications (3 papers), Authorship Attribution and Profiling (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (235 citations), Computer Vision and Pattern Recognition (84 citations), Health Informatics (2 citations), Language and Linguistics (10 citations) and Anatomy (1 citation). Tom Kocmi has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Ondřej Bojar, Jindřich Libovický, Christian Federmann, Ondřej Dušek, Michal Novák, Jindřich Helcl, Martin Popel, Tomasz Limisiewicz, Gabriel Stanovsky and Matt Post. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation, Lecture notes in computer science, arXiv (Cornell University) and Edinburgh Research Explorer (University of Edinburgh).
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.