András Kornai
- Artificial Intelligence top 2%
- Language and Linguistics top 2%
- Communication top 5%
- Information Systems top 10%
- Linguistics and Language top 5%
- Co-authors
- Péter HalácsyCsaba OraveczTaha YasseriJános KertészGeoffrey K. PullumRóbert SumiViktor TrónLászló Németh
- Topics
- Natural Language Processing Techniques (42 papers)Topic Modeling (28 papers)semigroups and automata theory (9 papers)
- Journals
- PLoS ONELanguageLinguistic Inquiry
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
András Kornai
65 papers receiving 877 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 616
- Language and Linguistics 181
- Communication 151
- Information Systems 82
- Linguistics and Language 82
Countries citing papers authored by András Kornai
This map shows the geographic impact of András Kornai'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 András Kornai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Kornai more than expected).
Fields of papers citing papers by András Kornai
This network shows the impact of papers produced by András Kornai. 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 András Kornai. The network helps show where András Kornai may publish in the future.
Co-authorship network of co-authors of András Kornai
This figure shows the co-authorship network connecting the top 25 collaborators of András Kornai. A scholar is included among the top collaborators of András Kornai 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 András Kornai. András Kornai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. | 1 |
| 3 | Structure Learning in Weighted Languages | 1 |
| 4 | Applicative structure in vector space models | 4 |
| 5 | Building basic vocabulary across 40 languages | 13 |
| 6 | Rapid creation of large-scale corpora and frequency dictionaries | 6 |
| 7 | NP alignment in bilingual corpora | 1 |
| 8 | BUDAPESTACAD at TAC 2010 | 4 |
| 9 | 4 | |
| 10 | Mathematical Linguistics (Advanced Information and Knowledge Processing) | 2 |
| 11 | Poster paper: HunPos -- an open source trigram tagger | 4 |
| 12 | Using a morphological analyzer in high precision POS tagging of Hungarian | 10 |
| 13 | Morfológiai egyértelműsítés maximum entrópia módszerrel | 1 |
| 14 | Creating open language resources for Hungarian | 54 |
| 15 | Vectorized finite state automata | 2 |
| 16 | Extended finite state models of language | 26 |
| 17 | 18 | |
| 18 | On Hungarian morphology | 2 |
| 19 | SZÓTÁRI ADATBÁZIS AZ AKADÉMIAI NAGYSZÁMITÓGÉPEN | 0 |
| 20 | LEXICAL CATEGORIES AND X-BAR FEATURES | 1 |
About András Kornai
András Kornai is a scholar working on Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (42 papers), Topic Modeling (28 papers) and semigroups and automata theory (9 papers). The work is most often cited by research in Communication (151 citations), Artificial Intelligence (616 citations) and Linguistics and Language (82 citations). András Kornai has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Péter Halácsy, Csaba Oravecz, Taha Yasseri, János Kertész, Geoffrey K. Pullum, Róbert Sumi, Viktor Trón, László Németh, Dániel Varga and Zsolt Tuza. Their work appears in journals such as PLoS ONE, Language and Linguistic Inquiry.
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.