Goran Nenadić
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Machine Learning in Healthcare
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 20
- Machine Learning in Healthcare 19
- Natural Language Processing Techniques 18
- Advanced Text Analysis Techniques 16
- Privacy-Preserving Technologies in Data 10
-
- Biomedical Text Mining and Ontologies 99
- Co-authors
- Irena Spasić (24 shared papers)John Keane (28 shared papers)Martin Gerner (7 shared papers)Casey Bergman (7 shared papers)Michael Krauthammer (1 shared paper)Sophia Ananiadou (23 shared papers)Adrian Stetco (4 shared papers)Mike Barnes (2 shared papers)
- Journals
- Journal of Biomedical Informatics (8 papers)Journal of Medical Internet Research (7 papers)BMC Bioinformatics (6 papers)Journal of Biomedical Semantics (6 papers)Bioinformatics (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Goran Nenadić
185 papers receiving 4k citations
Goran Nenadić's Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 127
- Artificial Intelligence 1.2k
- Health Information Management 245
- Molecular Biology 1.5k
- General Social Sciences 94
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 199 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 | 645 |
| 2 | 2010 | 258 | |
| 3 | 2020 | 249 | |
| 4 | 2004 | 233 | |
| 5 | 2017 | 181 | |
| 6 | 2014 | 171 | |
| 7 | 2016 | 89 | |
| 8 | 2009 | 77 | |
| 9 | 2018 | 68 | |
| 10 | 2013 | 65 | |
| 11 | 2011 | 59 | |
| 12 | 2010 | 52 | |
| 13 | 2015 | 51 | |
| 14 | 2018 | 48 | |
| 15 | 2005 | 47 | |
| 16 | 2020 | 46 | |
| 17 | 2003 | 43 | |
| 18 | 2012 | 41 | |
| 19 | 2011 | 39 | |
| 20 | 2015 | 39 |
About Goran Nenadić
Goran Nenadić is a scholar working on Artificial Intelligence, Molecular Biology, Statistics, Probability and Uncertainty, Health and Toxicology, having authored 199 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (99 papers), Topic Modeling (20 papers), Machine Learning in Healthcare (19 papers), Natural Language Processing Techniques (18 papers), Advanced Text Analysis Techniques (16 papers), Privacy-Preserving Technologies in Data (10 papers), scientometrics and bibliometrics research (9 papers) and Mental Health via Writing (8 papers). The work is most often cited by research in Health Informatics (127 citations), Artificial Intelligence (1.2k citations), Health Information Management (245 citations), Molecular Biology (1.5k citations) and General Social Sciences (94 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 Medical Internet Research, BMC Bioinformatics, Journal of Biomedical Semantics 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.