Miloš Radovanović
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
Papers in
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- Anomaly Detection Techniques and Applications 10
- Advanced Text Analysis Techniques 5
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- Time Series Analysis and Forecasting 12
- Data Management and Algorithms 9
- Co-authors
- Mirjana Ivanović (45 shared papers)Αλέξανδρος Νανόπουλος (7 shared papers)Vladimir Kurbalija (16 shared papers)Zoltan Geler (10 shared papers)Dunja Mladenić (4 shared papers)Nenad Tomašev (4 shared papers)Miloš Savić (9 shared papers)Weihui Dai (5 shared papers)
In The Last Decade
Miloš Radovanović
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Signal Processing 284
- Artificial Intelligence 729
- Computer Vision and Pattern Recognition 306
- Information Systems 152
- Media Technology 51
Countries citing papers authored by Miloš Radovanović
This map shows the geographic impact of Miloš Radovanović'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 Miloš Radovanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Radovanović more than expected).
Fields of papers citing papers by Miloš Radovanović
This network shows the impact of papers produced by Miloš Radovanović. 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 Miloš Radovanović. The network helps show where Miloš Radovanović may publish in the future.
Co-authors
The 25 scholars most cited alongside Miloš Radovanović, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data | 2010 | 269 |
| 2 | 2014 | 161 | |
| 3 | 2013 | 81 | |
| 4 | 2009 | 53 | |
| 5 | 2010 | 50 | |
| 6 | 2010 | 48 | |
| 7 | 2020 | 44 | |
| 8 | 2013 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 2012 | 33 | |
| 11 | 2011 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2009 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2015 | 14 |
About Miloš Radovanović
Miloš Radovanović is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (12 papers), Anomaly Detection Techniques and Applications (10 papers), Data Management and Algorithms (9 papers), Face and Expression Recognition (7 papers), Complex Network Analysis Techniques (6 papers), IoT and Edge/Fog Computing (5 papers), Advanced Text Analysis Techniques (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Signal Processing (284 citations), Artificial Intelligence (729 citations), Computer Vision and Pattern Recognition (306 citations), Information Systems (152 citations) and Media Technology (51 citations). Miloš Radovanović has collaborated with scholars based in Serbia, Germany and Japan. Frequent co-authors include Mirjana Ivanović, Αλέξανδρος Νανόπουλος, Vladimir Kurbalija, Zoltan Geler, Dunja Mladenić, Nenad Tomašev, Miloš Savić, Weihui Dai, Saša Pešić and Zoran Budimac. Their work appears in journals such as Simulation Modelling Practice and Theory, Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, International Journal of Machine Learning and Cybernetics and Knowledge-Based Systems.
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.