Żeljko Agić

32 papers and 353 indexed citations i.

About

Żeljko Agić is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing. According to data from OpenAlex, Żeljko Agić has authored 32 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 2 papers in Signal Processing. Recurrent topics in Żeljko Agić’s work include Natural Language Processing Techniques (30 papers), Topic Modeling (28 papers) and Text Readability and Simplification (9 papers). Żeljko Agić is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (28 papers) and Text Readability and Simplification (9 papers). Żeljko Agić collaborates with scholars based in Croatia, Denmark and Germany. Żeljko Agić's co-authors include Ivan Vulić, Barbara Plank, Anders Søgaard, Héctor Martínez Alonso, Nikola Ljubešić, Anders Johannsen, Natalie Schluter, Jörg Tiedemann, Marko Tadić and Bernd Bohnet and has published in prestigious journals such as Journal of Artificial Intelligence Research, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Żeljko Agić i

Fields of papers citing papers by Żeljko Agić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Żeljko Agić

Since Specialization
Citations

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