Goran Glavaš
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Speech and dialogue systems
- General Social Sciences top 0.5%
Papers in
-
- Topic Modeling 91
- Natural Language Processing Techniques 80
- Advanced Text Analysis Techniques 18
- Text Readability and Simplification 17
- Speech and dialogue systems 12
- Sentiment Analysis and Opinion Mining 10
-
- Multimodal Machine Learning Applications 10
- Co-authors
- Ivan Vulić (36 shared papers)Jan Šnajder (21 shared papers)Anne Lauscher (15 shared papers)Simone Paolo Ponzetto (25 shared papers)Sanja Štajner (5 shared papers)Mladen Karan (7 shared papers)Federico Nanni (8 shared papers)Anna Korhonen (13 shared papers)
- Journals
- Expert Systems with Applications (2 papers)Natural Language Engineering (1 paper)Computational Linguistics (1 paper)Journal of Artificial Intelligence Research (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- GermanyUnited KingdomCroatia
In The Last Decade
Goran Glavaš
111 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 1.4k
- General Social Sciences 79
- Computer Vision and Pattern Recognition 171
- Information Systems 151
- Health Informatics 6
Countries citing papers authored by Goran Glavaš
This map shows the geographic impact of Goran Glavaš'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 Goran Glavaš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Glavaš more than expected).
Fields of papers citing papers by Goran Glavaš
This network shows the impact of papers produced by Goran Glavaš. 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 Goran Glavaš. The network helps show where Goran Glavaš may publish in the future.
Co-authors
The 25 scholars most cited alongside Goran Glavaš, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TakeLab: Systems for Measuring Semantic Text Similarity | 2012 | 149 |
| 2 | 2020 | 134 | |
| 3 | 2015 | 91 | |
| 4 | 2014 | 74 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 43 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 36 | |
| 9 | 2020 | 33 | |
| 10 | 2014 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2021 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2020 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2022 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2014 | 19 |
About Goran Glavaš
Goran Glavaš is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, General Social Sciences and Information Systems, having authored 116 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (91 papers), Natural Language Processing Techniques (80 papers), Advanced Text Analysis Techniques (18 papers), Text Readability and Simplification (17 papers), Speech and dialogue systems (12 papers), Multimodal Machine Learning Applications (10 papers), Sentiment Analysis and Opinion Mining (10 papers) and Computational and Text Analysis Methods (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), General Social Sciences (79 citations), Computer Vision and Pattern Recognition (171 citations), Information Systems (151 citations) and Health Informatics (6 citations). Goran Glavaš has collaborated with scholars based in Germany, United Kingdom and Croatia. Frequent co-authors include Ivan Vulić, Jan Šnajder, Anne Lauscher, Simone Paolo Ponzetto, Sanja Štajner, Mladen Karan, Federico Nanni, Anna Korhonen, Bojana Dalbelo Bašić and Vinit Ravishankar. Their work appears in journals such as Expert Systems with Applications, Natural Language Engineering, Computational Linguistics, Journal of Artificial Intelligence Research and Language Resources and Evaluation.
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.