Miloš Jovanović
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Information Systems top 10%
- Health Information Management top 5%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Milan VukičevićBoris DelibašićMilija SuknovićMiroslav MinovićSandro RadovanovićSven Van PouckeZoran ObradovićKathrin Kirchner
- Topics
- Data Mining Algorithms and Applications (5 papers)Advanced Clustering Algorithms Research (5 papers)Machine Learning and Data Classification (4 papers)
- Partner nations
- SerbiaUnited StatesGermany
In The Last Decade
Miloš Jovanović
22 papers receiving 257 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 125
- Computer Science Applications 69
- Information Systems 65
- Health Information Management 31
- Cardiology and Cardiovascular Medicine 19
Countries citing papers authored by Miloš Jovanović
This map shows the geographic impact of Miloš Jovanović'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 Jovanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Jovanović more than expected).
Fields of papers citing papers by Miloš Jovanović
This network shows the impact of papers produced by Miloš Jovanović. 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 Jovanović. The network helps show where Miloš Jovanović may publish in the future.
Co-authorship network of co-authors of Miloš Jovanović
This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Jovanović. A scholar is included among the top collaborators of Miloš Jovanović 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 Miloš Jovanović. Miloš Jovanović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 48 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | White-box decision tree algorithms: a pilot study on perceived usefulness, perceived ease of use, and perceived understanding | 8 |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 65 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 15 |
About Miloš Jovanović
Miloš Jovanović is a scholar working on Health Information Management, Computer Science Applications and Artificial Intelligence, having authored 22 papers that have together received 269 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Advanced Clustering Algorithms Research (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Computer Science Applications (69 citations), Health Information Management (31 citations) and Health Informatics (7 citations). Miloš Jovanović has collaborated with scholars based in Serbia, United States and Germany. Frequent co-authors include Milan Vukičević, Boris Delibašić, Milija Suknović, Miroslav Minović, Sandro Radovanović, Sven Van Poucke, Zoran Obradović, Kathrin Kirchner, Srbislav Genić and Mladen Nikolić. Their work appears in journals such as Energy, Applied Soft Computing and Artificial Intelligence Review.
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.