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).
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.
Kovács, Ádám, et al.. (2020). Better Together: Modern Methods Plus Traditional Thinking in NP Alignment.. Language Resources and Evaluation. 3635–3639.1 indexed citations
3.
Kornai, András, et al.. (2013). Structure Learning in Weighted Languages. SZTAKI Publication Repository (Hungarian Academy of Sciences). 72–82.1 indexed citations
4.
Kornai, András, et al.. (2013). Building basic vocabulary across 40 languages. SZTAKI Publication Repository (Hungarian Academy of Sciences). 52–58.13 indexed citations
5.
Kornai, András, et al.. (2013). Applicative structure in vector space models. SZTAKI Publication Repository (Hungarian Academy of Sciences). 59–63.4 indexed citations
Varga, Dániel, et al.. (2012). Rapid creation of large-scale corpora and frequency dictionaries. Language Resources and Evaluation. 1462–1465.6 indexed citations
8.
Kornai, András, et al.. (2010). NP alignment in bilingual corpora. Language Resources and Evaluation.1 indexed citations
9.
Kornai, András, et al.. (2010). BUDAPESTACAD at TAC 2010. Theory and applications of categories.4 indexed citations
Halácsy, Péter, András Kornai, & Csaba Oravecz. (2007). Poster paper: HunPos -- an open source trigram tagger. Meeting of the Association for Computational Linguistics. 209–212.4 indexed citations
12.
Halácsy, Péter, András Kornai, Csaba Oravecz, Viktor Trón, & Dániel Varga. (2006). Using a morphological analyzer in high precision POS tagging of Hungarian. Language Resources and Evaluation. 2245–2248.10 indexed citations
13.
Halácsy, Péter, András Kornai, & Dániel Varga. (2005). Morfológiai egyértelműsítés maximum entrópia módszerrel. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
14.
Halácsy, Péter, et al.. (2004). Creating open language resources for Hungarian. Language Resources and Evaluation.54 indexed citations
15.
Kornai, András. (1999). Vectorized finite state automata. SZTAKI Publication Repository (Hungarian Academy of Sciences). 95–107.2 indexed citations
16.
Kornai, András. (1999). Extended finite state models of language. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1–5.26 indexed citations
Kornai, András. (1986). SZÓTÁRI ADATBÁZIS AZ AKADÉMIAI NAGYSZÁMITÓGÉPEN. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
20.
Kornai, András. (1985). LEXICAL CATEGORIES AND X-BAR FEATURES. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
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.