Żeljko Agić
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Language and Linguistics top 5%
Papers in
-
- Natural Language Processing Techniques 44
- Topic Modeling 41
- Text Readability and Simplification 18
- Semantic Web and Ontologies 6
- Speech and dialogue systems 6
- Speech Recognition and Synthesis 4
- Algorithms and Data Compression 4
- Advanced Text Analysis Techniques 3
- Co-authors
- Ivan Vulić (1 shared paper)Anders Søgaard (8 shared papers)Jörg Tiedemann (3 shared papers)Nikola Ljubešić (8 shared papers)Marko Tadić (15 shared papers)Barbara Plank (5 shared papers)Hėctor Martínez Alonso (4 shared papers)Anders Johannsen (2 shared papers)
- Journals
- Language Resources and Evaluation (8 papers)Transactions of the Association for Computational Linguistics (1 paper)Journal of Artificial Intelligence Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Apollo (University of Cambridge) (1 paper)
In The Last Decade
Żeljko Agić
47 papers receiving 546 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 600
- Language and Linguistics 62
- Computer Vision and Pattern Recognition 65
- Cultural Studies 14
- Health Informatics 2
Countries citing papers authored by Żeljko Agić
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).
Fields of papers citing papers by Żeljko Agić
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.
Co-authors
The 25 scholars most cited alongside Żeljko Agić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2016 | 59 | |
| 3 | 2015 | 51 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 44 | |
| 6 | 2016 | 34 | |
| 7 | New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian | 2016 | 30 |
| 8 | Lemmatization and Morphosyntactic Tagging of Croatian and Serbian | 2013 | 26 |
| 9 | Building Croatian WordNet | 2008 | 20 |
| 10 | Improving Part-of-Speech Tagging Accuracy for Croatian by Morphological Analysis | 2008 | 18 |
| 11 | Towards Sentiment Analysis of Financial Texts in Croatian | 2010 | 15 |
| 12 | Croatian Dependency Treebank: Recent Development and Initial Experiments | 2012 | 14 |
| 13 | The SETimes.HR Linguistically Annotated Corpus of Croatian | 2014 | 14 |
| 14 | Building and Evaluating a Distributional Memory for Croatian | 2013 | 13 |
| 15 | Cross-Lingual Parser Selection for Low-Resource Languages. | 2017 | 13 |
| 16 | 2014 | 11 | |
| 17 | 2013 | 9 | |
| 18 | K-Best Spanning Tree Dependency Parsing With Verb Valency Lexicon Reranking | 2012 | 9 |
| 19 | Universal Dependencies for Croatian (that work for Serbian, too) | 2015 | 9 |
| 20 | Evaluating Morphosyntactic Tagging of Croatian Texts | 2006 | 8 |
About Żeljko Agić
Żeljko Agić is a scholar working on Artificial Intelligence, Language and Linguistics, Communication, Molecular Biology and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 634 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Topic Modeling (41 papers), Text Readability and Simplification (18 papers), Semantic Web and Ontologies (6 papers), Speech and dialogue systems (6 papers), Speech Recognition and Synthesis (4 papers), Algorithms and Data Compression (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (600 citations), Language and Linguistics (62 citations), Computer Vision and Pattern Recognition (65 citations), Cultural Studies (14 citations) and Health Informatics (2 citations). Żeljko Agić has collaborated with scholars based in Croatia, Denmark and Germany. Frequent co-authors include Ivan Vulić, Anders Søgaard, Jörg Tiedemann, Nikola Ljubešić, Marko Tadić, Barbara Plank, Hėctor Martínez Alonso, Anders Johannsen, Joakim Nivre and Dirk Hovy. Their work appears in journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics, Journal of Artificial Intelligence Research, SHILAP Revista de lepidopterología and Apollo (University of Cambridge).
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.