Germán Kruszewski

15 papers and 943 indexed citations i.

About

Germán Kruszewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Germán Kruszewski has authored 15 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Astronomy and Astrophysics. Recurrent topics in Germán Kruszewski’s work include Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (3 papers). Germán Kruszewski is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (3 papers). Germán Kruszewski collaborates with scholars based in Italy, The Netherlands and Czechia. Germán Kruszewski's co-authors include Marco Baroni, Georgiana Dinu, Denis Paperno, Francesco Ronzano, Angeliki Lazaridou, Horacio Saggion, Francesco Barbieri, Gemma Boleda, Raffaella Bernardi and Raquel Fernández and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Artificial Life.

In The Last Decade

Co-authorship network of co-authors of Germán Kruszewski i

Fields of papers citing papers by Germán Kruszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Germán Kruszewski

Since Specialization
Citations

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