Goran Nenadić
Impact in
- Health Informatics top 1%
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
Papers in ⓘ
-
- Topic Modeling 58
- Natural Language Processing Techniques 46
- Semantic Web and Ontologies 38
- Advanced Text Analysis Techniques 18
- Machine Learning in Healthcare 14
-
- Biomedical Text Mining and Ontologies 94
- Bioinformatics and Genomic Networks 15
- Genomics and Phylogenetic Studies 9
- Co-authors
- Irena Spasić (19 shared papers)John Keane (23 shared papers)Martin Gerner (7 shared papers)Casey Bergman (7 shared papers)Michael Krauthammer (1 shared paper)Sophia Ananiadou (15 shared papers)Adrian Stetco (4 shared papers)Mike Barnes (2 shared papers)
- Journals
- Journal of Biomedical Informatics (8 papers)Journal of Biomedical Semantics (7 papers)BMC Bioinformatics (6 papers)Journal of Medical Internet Research (6 papers)Journal of the American Medical Informatics Association (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Goran Nenadić
157 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Health Informatics 102
- Artificial Intelligence 1.6k
- Health Information Management 199
- Molecular Biology 1.5k
- Control and Systems Engineering 385
Countries citing papers authored by Goran Nenadić
This map shows the geographic impact of Goran Nenadić'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 Nenadić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Nenadić more than expected).
Fields of papers citing papers by Goran Nenadić
This network shows the impact of papers produced by Goran Nenadić. 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 Nenadić. The network helps show where Goran Nenadić may publish in the future.
Co-authors
The 25 scholars most cited alongside Goran Nenadić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning methods for wind turbine condition monitoring: A review Hit paper breakdown → | 2018 | 588 |
| 2 | 2010 | 237 | |
| 3 | 2004 | 211 | |
| 4 | 2020 | 206 | |
| 5 | 2017 | 163 | |
| 6 | 2014 | 156 | |
| 7 | 2016 | 78 | |
| 8 | 2009 | 70 | |
| 9 | 2018 | 61 | |
| 10 | 2013 | 56 | |
| 11 | 2011 | 54 | |
| 12 | 2010 | 51 | |
| 13 | 2005 | 48 | |
| 14 | 2020 | 43 | |
| 15 | 2015 | 42 | |
| 16 | 2003 | 40 | |
| 17 | 2018 | 40 | |
| 18 | 2012 | 39 | |
| 19 | 2011 | 37 | |
| 20 | 2014 | 36 |
About Goran Nenadić
Goran Nenadić is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Health and Computational Theory and Mathematics, having authored 170 papers that have together received 3.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (94 papers), Topic Modeling (58 papers), Natural Language Processing Techniques (46 papers), Semantic Web and Ontologies (38 papers), Advanced Text Analysis Techniques (18 papers), Bioinformatics and Genomic Networks (15 papers), Machine Learning in Healthcare (14 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Health Informatics (102 citations), Artificial Intelligence (1.6k citations), Health Information Management (199 citations), Molecular Biology (1.5k citations) and Control and Systems Engineering (385 citations). Goran Nenadić has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Irena Spasić, John Keane, Martin Gerner, Casey Bergman, Michael Krauthammer, Sophia Ananiadou, Adrian Stetco, Mike Barnes, Valentin Robu and David Flynn. Their work appears in journals such as Journal of Biomedical Informatics, Journal of Biomedical Semantics, BMC Bioinformatics, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.
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.