Slavko Žitnik
- Artificial Intelligence top 10%
- Information Systems
- Computer Science Applications
- Molecular Biology
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Marko BajecGlenn SmithLovro ŠubeljRobert HaworthDalibor FialaCamille SalinesiMarinka ŽitnikBarbara Lewandowska‐Tomaszczyk
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (8 papers)Biomedical Text Mining and Ontologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Bioinformatics
- Partner nations
- SloveniaUnited StatesPoland
In The Last Decade
Slavko Žitnik
28 papers receiving 170 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 106
- Information Systems 42
- Computer Science Applications 22
- Molecular Biology 20
- Statistics, Probability and Uncertainty 19
Countries citing papers authored by Slavko Žitnik
This map shows the geographic impact of Slavko Žitnik'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 Slavko Žitnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slavko Žitnik more than expected).
Fields of papers citing papers by Slavko Žitnik
This network shows the impact of papers produced by Slavko Žitnik. 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 Slavko Žitnik. The network helps show where Slavko Žitnik may publish in the future.
Co-authorship network of co-authors of Slavko Žitnik
This figure shows the co-authorship network connecting the top 25 collaborators of Slavko Žitnik. A scholar is included among the top collaborators of Slavko Žitnik 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 Slavko Žitnik. Slavko Žitnik 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 | 2 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages | 2 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Slovene corpus for aspect-based sentiment analysis - SentiCoref 1.0 | 2 |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules | 7 |
| 19 | 2 | |
| 20 | Collective Ontology-based Information Extraction using Probabilistic Graphical Models. | 1 |
About Slavko Žitnik
Slavko Žitnik is a scholar working on Artificial Intelligence, Communication and Human-Computer Interaction, having authored 30 papers that have together received 181 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Health Informatics (7 citations), Computer Science Applications (22 citations) and Artificial Intelligence (106 citations). Slavko Žitnik has collaborated with scholars based in Slovenia, United States and Poland. Frequent co-authors include Marko Bajec, Glenn Smith, Lovro Šubelj, Robert Haworth, Dalibor Fiala, Camille Salinesi, Marinka Žitnik, Barbara Lewandowska‐Tomaszczyk, Marc Denecker and Blaž Zupan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC 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.