Jurica Levatić
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Sašo DžeroskiDragi KocevMichelangelo CeciFran SupekTomislav ŠmucMarijeta KraljJasna ĆurakMaja Osmak
- Topics
- Machine Learning and Data Classification (4 papers)Computational Drug Discovery Methods (3 papers)Text and Document Classification Technologies (3 papers)
In The Last Decade
Jurica Levatić
16 papers receiving 258 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 139
- Molecular Biology 51
- Computational Theory and Mathematics 44
- Computer Vision and Pattern Recognition 38
- Information Systems 24
Countries citing papers authored by Jurica Levatić
This map shows the geographic impact of Jurica Levatić'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 Jurica Levatić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jurica Levatić more than expected).
Fields of papers citing papers by Jurica Levatić
This network shows the impact of papers produced by Jurica Levatić. 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 Jurica Levatić. The network helps show where Jurica Levatić may publish in the future.
Co-authorship network of co-authors of Jurica Levatić
This figure shows the co-authorship network connecting the top 25 collaborators of Jurica Levatić. A scholar is included among the top collaborators of Jurica Levatić 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 Jurica Levatić. Jurica Levatić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 36 | |
| 9 | QSAR based synthesis of novel primaquine ureidoamides | 1 |
| 10 | 49 | |
| 11 | 31 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 23 | |
| 15 | 43 | |
| 16 | Semi-Supervised Learning for Quantitative Structure-Activity Modeling | 12 |
About Jurica Levatić
Jurica Levatić is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Ecological Modeling, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (4 papers), Computational Drug Discovery Methods (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Computational Theory and Mathematics (44 citations) and Computer Vision and Pattern Recognition (38 citations). Jurica Levatić has collaborated with scholars based in Slovenia, Italy and Spain. Frequent co-authors include Sašo Džeroski, Dragi Kocev, Michelangelo Ceci, Fran Supek, Tomislav Šmuc, Marijeta Kralj, Jasna Ćurak, Maja Osmak, Matej Petković and Marko Debeljak. Their work appears in journals such as Journal of Medicinal Chemistry, Expert Systems with Applications and Information Sciences.
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.