Balázs Hidasi

About

Balázs Hidasi is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Balázs Hidasi has authored 5 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Balázs Hidasi’s work include Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Balázs Hidasi is often cited by papers focused on Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Balázs Hidasi collaborates with scholars based in Spain, Italy and Hungary. Balázs Hidasi's co-authors include Domonkos Tikk, Alexandros Karatzoglou, Linas Baltrunas, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana and Martha Larson and has published in prestigious journals such as Data Mining and Knowledge Discovery, Knowledge and Information Systems and JUCS - Journal of Universal Computer Science.

In The Last Decade

Co-authorship network of co-authors of Balázs Hidasi i

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Fields of papers citing papers by Balázs Hidasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Balázs Hidasi

Since Specialization

Citations

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