Márta Abrusán

18 papers and 309 indexed citations i.

About

Márta Abrusán is a scholar working on Language and Linguistics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Márta Abrusán has authored 18 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Language and Linguistics, 11 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Márta Abrusán’s work include Syntax, Semantics, Linguistic Variation (13 papers), Natural Language Processing Techniques (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Márta Abrusán is often cited by papers focused on Syntax, Semantics, Linguistic Variation (13 papers), Natural Language Processing Techniques (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Márta Abrusán collaborates with scholars based in France, United Kingdom and Germany. Márta Abrusán's co-authors include Kriszta Szendröi, Nicholas Asher, Tim Van de Cruys and Benjamin Spector and has published in prestigious journals such as Computational Linguistics, Mind & Language and Linguistics and Philosophy.

In The Last Decade

Co-authorship network of co-authors of Márta Abrusán i

Fields of papers citing papers by Márta Abrusán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Márta Abrusán

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025