Jurica Ševa
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Computer Networks and Communications
- Genetics
- Co-authors
- Mariana NevesMarkus SchattenNeven VrčekUlf LeserDamian RiekeMario SängerJohannes StarlingerUlrich Keilholz
- Topics
- Biomedical Text Mining and Ontologies (6 papers)Topic Modeling (5 papers)Natural Language Processing Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBMC Bioinformatics
- Partner nations
- GermanyCroatiaUnited Kingdom
In The Last Decade
Jurica Ševa
17 papers receiving 211 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 134
- Molecular Biology 77
- Information Systems 62
- Computer Networks and Communications 34
- Genetics 19
Countries citing papers authored by Jurica Ševa
This map shows the geographic impact of Jurica Ševa'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 Ševa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jurica Ševa more than expected).
Fields of papers citing papers by Jurica Ševa
This network shows the impact of papers produced by Jurica Ševa. 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 Ševa. The network helps show where Jurica Ševa may publish in the future.
Co-authorship network of co-authors of Jurica Ševa
This figure shows the co-authorship network connecting the top 25 collaborators of Jurica Ševa. A scholar is included among the top collaborators of Jurica Ševa 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 Ševa. Jurica Ševa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 73 | |
| 5 | WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks. | 7 |
| 6 | 5 | |
| 7 | 3 | |
| 8 | Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017. | 3 |
| 9 | Large-Scale Multi-Agent Modelling of Massively Multi-Player On-Line Role-Playing Games – A Summary | 0 |
| 10 | Visualizing Public Opinion in Croatia Based on Available Social Network Content | 2 |
| 11 | 1 | |
| 12 | 23 | |
| 13 | Self-sustainable Agent Organizations in Massively Multi-Player On-Line Role-Playing Games - A Conceptual Framework | 1 |
| 14 | An Introduction to Social Semantic Web Mining & Big Data Analytics for Political Attitudes and Mentalities Research | 11 |
| 15 | Big Data Analytics and the Social Web: a Tutorial for the Social Scientist | 3 |
| 16 | 3 | |
| 17 | Cloud Computing Ontologies: A Systematic Review | 38 |
| 18 | BEHAVIORAL AND PHYSICAL BIOMETRIC CHARACTERISTICS MODELING USED FOR ITS SECURITY IMPROVEMENT | 0 |
| 19 | Application of modified anthropometric model in facial age estimation | 2 |
| 20 | Dynamic Queries in Semantic Wiki Systems | 4 |
About Jurica Ševa
Jurica Ševa is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 21 papers that have together received 233 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (134 citations), Information Systems (62 citations) and Health Informatics (3 citations). Jurica Ševa has collaborated with scholars based in Germany, Croatia and United Kingdom. Frequent co-authors include Mariana Neves, Markus Schatten, Neven Vrček, Ulf Leser, Damian Rieke, Mario Sänger, Johannes Starlinger, Ulrich Keilholz, Mario Lamping and Oliver Kohlbacher. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.