Goran Glavaš
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Molecular Biology
- General Social Sciences top 0.5%
- Co-authors
- Ivan VulićJan ŠnajderAnne LauscherSimone Paolo PonzettoSanja ŠtajnerMladen KaranFederico NanniAnna Korhonen
- Topics
- Topic Modeling (90 papers)Natural Language Processing Techniques (78 papers)Advanced Text Analysis Techniques (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsComputational Linguistics
- Partner nations
- GermanyUnited KingdomCroatia
In The Last Decade
Goran Glavaš
109 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 167
- Information Systems 143
- Molecular Biology 88
- General Social Sciences 71
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-authorship network of co-authors of Goran Glavaš
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Glavaš. A scholar is included among the top collaborators of Goran Glavaš based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Goran Glavaš. Goran Glavaš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | Training and domain adaptation for supervised text segmentation | 3 |
| 13 | 129 | |
| 14 | Intermediate Training of BERT for Product Matching. | 15 |
| 15 | University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity | 13 |
| 16 | HiEve: A Corpus for Extracting Event Hierarchies from News Stories | 30 |
| 17 | Recognizing Identical Events with Graph Kernels | 11 |
| 18 | Aspect-Oriented Opinion Mining from User Reviews in Croatian | 6 |
| 19 | Metaheuristic approach to class responsibility assignment problem | 6 |
| 20 | Real-time detection and recognition of traffic signs | 14 |
About Goran Glavaš
Goran Glavaš is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 114 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (90 papers), Natural Language Processing Techniques (78 papers) and Advanced Text Analysis Techniques (18 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), General Social Sciences (71 citations) and Computer Vision and Pattern Recognition (167 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 Edoardo Maria Ponti. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computational Linguistics.
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.