Genovéva Puskás

7 papers and 65 indexed citations i.

About

Genovéva Puskás is a scholar working on Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Genovéva Puskás has authored 7 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Language and Linguistics, 4 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Genovéva Puskás’s work include Syntax, Semantics, Linguistic Variation (5 papers), Natural Language Processing Techniques (4 papers) and Phonetics and Phonology Research (2 papers). Genovéva Puskás is often cited by papers focused on Syntax, Semantics, Linguistic Variation (5 papers), Natural Language Processing Techniques (4 papers) and Phonetics and Phonology Research (2 papers). Genovéva Puskás collaborates with scholars based in Switzerland and Belgium. Genovéva Puskás's co-authors include Louis de Saussure and Jacques Mœschler and has published in prestigious journals such as Lingua, Natural Language & Linguistic Theory and Linguistik aktuell.

In The Last Decade

Co-authorship network of co-authors of Genovéva Puskás i

Fields of papers citing papers by Genovéva Puskás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genovéva Puskás. 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 Genovéva Puskás. The network helps show where Genovéva Puskás may publish in the future.

Countries citing papers authored by Genovéva Puskás

Since Specialization
Citations

This map shows the geographic impact of Genovéva Puskás'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 Genovéva Puskás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genovéva Puskás more than expected).

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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