Péter Rebrus

926 citations
30 papers · 292 · h-index 10

Impact in

Papers in

Péter Rebrus

28 papers receiving 260 citations

Peers

Péter Rebrus
Comparison fields: 5 of 17
  • Linguistics and Language 153
  • Experimental and Cognitive Psychology 239
  • Language and Linguistics 160
  • Artificial Intelligence 141
  • Music 8
Replace Miklós Törkenczy with:
Miklós Törkenczy Hungary
Wendell Kimper United States
Laura McPherson United States
Matthew Wolf United States
Lee Bickmore United States
Akinbiyi Akinlabi Netherlands
Karen Jesney United States
Adam McCollum United States
Charles W. Kisseberth United States
Pétur Helgason Sweden
Péter Rebrus relative to Miklós Törkenczy Hungary Miklós Törkenczy's profile →
Citations per field
00.5×1.5×
Miklós Törkenczy · 1×
Citations per year

Countries citing papers authored by Péter Rebrus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 10 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.

Border = papers with Péter Rebrus Line = papers co-authored together Péter Rebrus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201537
2 200432
3 201330
4 200624
5 201522
6 201719
7 202018
8 201618
9 201717
10 202117
11 20166
12 20126
13 20166
14 20166
15 20125
16 20104
17
20004
18 20113
19 20183
20 20213

About Péter Rebrus

Péter Rebrus is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Language and Linguistics, Linguistics and Language and Signal Processing, having authored 30 papers that have together received 292 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (20 papers), Natural Language Processing Techniques (13 papers), Syntax, Semantics, Linguistic Variation (11 papers), Linguistic Variation and Morphology (7 papers), Speech Recognition and Synthesis (5 papers), Linguistics and language evolution (4 papers), Lexicography and Language Studies (3 papers) and Diverse Musicological Studies (2 papers). The work is most often cited by research in Linguistics and Language (153 citations), Experimental and Cognitive Psychology (239 citations), Language and Linguistics (160 citations), Artificial Intelligence (141 citations) and Music (8 citations). Péter Rebrus has collaborated with scholars based in Hungary, United Kingdom and Switzerland. Frequent co-authors include Miklós Törkenczy, Péter Szigetvári, Eszter Simon, Péter Vajda, Péter Rácz, Péter Halácsy, Viktor Trón, Ágnes Lukács, András Kornai and Péter Vajda. Their work appears in journals such as Theoretical Linguistics, Corpus Linguistics and Linguistic Theory, Language Resources and Evaluation, Linguistica and Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory.

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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