Żeljko Agić

1.6k citations
53 papers · 729 · h-index 14

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Speech Recognition and Synthesis
    • Advanced Text Analysis Techniques

Papers in

    • Natural Language Processing Techniques 48
    • Topic Modeling 44
    • Text Readability and Simplification 21
    • Semantic Web and Ontologies 6
    • Speech and dialogue systems 6
    • Algorithms and Data Compression 4
    • Speech Recognition and Synthesis 4
    • Advanced Text Analysis Techniques 3

Żeljko Agić

52 papers receiving 633 citations

Peers

Żeljko Agić
Comparison fields: 5 of 42
  • Artificial Intelligence 685
  • Language and Linguistics 77
  • Computer Vision and Pattern Recognition 70
  • Health Informatics 3
  • Cultural Studies 16
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Citations per field
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Citations per year

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).

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.

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.

Border = papers with Żeljko Agić Line = papers co-authored together Żeljko Agić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 201668
3 201552
4 201449
5 201545
6 201636
7 201635
8
Lemmatization and Morphosyntactic Tagging of Croatian and Serbian
201332
9
Improving Part-of-Speech Tagging Accuracy for Croatian by Morphological Analysis
200823
10
Building Croatian WordNet
200823
11 201018
12 201217
13 201415
14 201315
15
Building and Evaluating a Distributional Memory for Croatian
201313
16 201413
17
Cross-Lingual Parser Selection for Low-Resource Languages.
201713
18
Universal Dependencies for Croatian (that work for Serbian, too)
201512
19
K-Best Spanning Tree Dependency Parsing With Verb Valency Lexicon Reranking
201211
20 200611

About Żeljko Agić

Żeljko Agić is a scholar working on Artificial Intelligence, Language and Linguistics, Management Science and Operations Research, Communication and Molecular Biology, having authored 53 papers that have together received 729 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (48 papers), Topic Modeling (44 papers), Text Readability and Simplification (21 papers), Semantic Web and Ontologies (6 papers), Speech and dialogue systems (6 papers), Algorithms and Data Compression (4 papers), Speech Recognition and Synthesis (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (685 citations), Language and Linguistics (77 citations), Computer Vision and Pattern Recognition (70 citations), Health Informatics (3 citations) and Cultural Studies (16 citations). Żeljko Agić has collaborated with scholars based in Croatia, Denmark and Germany. Frequent co-authors include Ivan Vulić, Nikola Ljubešić, Marko Tadić, Anders Søgaard, Jörg Tiedemann, Barbara Plank, Héctor 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, Lecture notes in computer science and Lecture notes on data engineering and communications technologies.

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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