Blaž Škrlj
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Senja PollakNada LavračMarko Robnik‐ŠikonjaMatej MartincJanez KoncTanja KunejDušanka JanežičSamo Lešnik
- Topics
- Bioinformatics and Genomic Networks (9 papers)Topic Modeling (8 papers)Computational Drug Discovery Methods (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- SloveniaUnited KingdomAustria
In The Last Decade
Blaž Škrlj
38 papers receiving 382 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 177
- Molecular Biology 106
- Computational Theory and Mathematics 70
- Information Systems 65
- Sociology and Political Science 58
Countries citing papers authored by Blaž Škrlj
This map shows the geographic impact of Blaž Škrlj'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 Blaž Škrlj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blaž Škrlj more than expected).
Fields of papers citing papers by Blaž Škrlj
This network shows the impact of papers produced by Blaž Škrlj. 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 Blaž Škrlj. The network helps show where Blaž Škrlj may publish in the future.
Co-authorship network of co-authors of Blaž Škrlj
This figure shows the co-authorship network connecting the top 25 collaborators of Blaž Škrlj. A scholar is included among the top collaborators of Blaž Škrlj 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 Blaž Škrlj. Blaž Škrlj 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 | To BAN or not to BAN | 13 |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection | 6 |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. | 3 |
| 18 | 12 | |
| 19 | 12 | |
| 20 | 5 |
About Blaž Škrlj
Blaž Škrlj is a scholar working on Horticulture, Computational Theory and Mathematics and Artificial Intelligence, having authored 40 papers that have together received 393 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Topic Modeling (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Computational Theory and Mathematics (70 citations) and Information Systems (65 citations). Blaž Škrlj has collaborated with scholars based in Slovenia, United Kingdom and Austria. Frequent co-authors include Senja Pollak, Nada Lavrač, Marko Robnik‐Šikonja, Matej Martinc, Janez Konc, Tanja Kunej, Dušanka Janežič, Samo Lešnik, Dragi Kocev and Meta Sterniša. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.