Péter Rebrus
Impact in
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- Linguistic Variation and Morphology
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- Phonetics and Phonology Research
Papers in
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- Phonetics and Phonology Research 14
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- Natural Language Processing Techniques 9
- Speech Recognition and Synthesis 4
- Co-authors
- Miklós Törkenczy (12 shared papers)Péter Szigetvári (6 shared papers)Péter Halácsy (2 shared papers)Péter Vajda (1 shared paper)Eszter Simon (1 shared paper)Viktor Trón (2 shared papers)Péter Rácz (1 shared paper)András Kornai (1 shared paper)
- Journals
- Theoretical Linguistics (2 papers)Language Resources and Evaluation (1 paper)Corpus Linguistics and Linguistic Theory (1 paper)Linguistica (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- HungaryUnited Kingdom
In The Last Decade
Péter Rebrus
19 papers receiving 75 citations
Peers
Comparison fields: 5 of 12
- Linguistics and Language 20
- Experimental and Cognitive Psychology 49
- Language and Linguistics 36
- Music 5
- Artificial Intelligence 47
Countries citing papers authored by Péter Rebrus
This map shows the geographic impact of Péter Rebrus'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 Péter Rebrus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Rebrus more than expected).
Fields of papers citing papers by Péter Rebrus
This network shows the impact of papers produced by Péter Rebrus. 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 Péter Rebrus. The network helps show where Péter Rebrus may publish in the future.
Co-authors
The 9 scholars most cited alongside Péter Rebrus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Morphdb.hu: Hungarian lexical database and morphological grammar | 2006 | 21 |
| 2 | 2015 | 18 | |
| 3 | 2016 | 5 | |
| 4 | 2015 | 4 | |
| 5 | 2016 | 4 | |
| 6 | 2016 | 4 | |
| 7 | 2018 | 3 | |
| 8 | 2011 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2000 | 2 | |
| 12 | Általános célú morfológiai elemző kimeneti formalizmusa | 2004 | 2 |
| 13 | 2016 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 0 |
About Péter Rebrus
Péter Rebrus is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Language and Linguistics, Linguistics and Language and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 80 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (14 papers), Natural Language Processing Techniques (9 papers), Syntax, Semantics, Linguistic Variation (6 papers), Speech Recognition and Synthesis (4 papers), Linguistics and language evolution (4 papers), Lexicography and Language Studies (3 papers), Linguistic Variation and Morphology (3 papers) and Diverse Musicological Studies (2 papers). The work is most often cited by research in Linguistics and Language (20 citations), Experimental and Cognitive Psychology (49 citations), Language and Linguistics (36 citations), Music (5 citations) and Artificial Intelligence (47 citations). Péter Rebrus has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include Miklós Törkenczy, Péter Szigetvári, Péter Halácsy, Péter Vajda, Eszter Simon, Viktor Trón, Péter Rácz, András Kornai and Péter Vajda. Their work appears in journals such as Theoretical Linguistics, Language Resources and Evaluation, Corpus Linguistics and Linguistic Theory, Linguistica and SHILAP Revista de lepidopterología.
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.