Milan R. Rapaić
- Control and Systems Engineering top 1%
- Modeling and Simulation top 1%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Zoran D. JeličićAlessandro PisanoElio UsaiTomislav B. ŠekaraŽeljko KanovićMarko BoškovićJovan PopovićStevan Pilipović
- Topics
- Advanced Control Systems Design (46 papers)Fractional Differential Equations Solutions (21 papers)Extremum Seeking Control Systems (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- SerbiaItalyBosnia and Herzegovina
In The Last Decade
Milan R. Rapaić
83 papers receiving 955 citations
Peers
Comparison fields: 5 of 88
- Control and Systems Engineering 728
- Modeling and Simulation 275
- Electrical and Electronic Engineering 164
- Artificial Intelligence 94
- Statistical and Nonlinear Physics 93
Countries citing papers authored by Milan R. Rapaić
This map shows the geographic impact of Milan R. Rapaić'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 Milan R. Rapaić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan R. Rapaić more than expected).
Fields of papers citing papers by Milan R. Rapaić
This network shows the impact of papers produced by Milan R. Rapaić. 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 Milan R. Rapaić. The network helps show where Milan R. Rapaić may publish in the future.
Co-authorship network of co-authors of Milan R. Rapaić
This figure shows the co-authorship network connecting the top 25 collaborators of Milan R. Rapaić. A scholar is included among the top collaborators of Milan R. Rapaić 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 Milan R. Rapaić. Milan R. Rapaić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 21 | |
| 14 | Expert system for induction motor fault detection based on vibration analysis | 1 |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 58 | |
| 18 | An empirical analysis of convergence related particle swarm optimization | 1 |
| 19 | 4 | |
| 20 | A theoretical and empirical analysis of convergence related particle swarm optimization | 9 |
About Milan R. Rapaić
Milan R. Rapaić is a scholar working on Modeling and Simulation, Control and Systems Engineering and Numerical Analysis, having authored 88 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Control Systems Design (46 papers), Fractional Differential Equations Solutions (21 papers) and Extremum Seeking Control Systems (18 papers). The work is most often cited by research in Modeling and Simulation (275 citations), Control and Systems Engineering (728 citations) and Numerical Analysis (75 citations). Milan R. Rapaić has collaborated with scholars based in Serbia, Italy and Bosnia and Herzegovina. Frequent co-authors include Zoran D. Jeličić, Alessandro Pisano, Elio Usai, Tomislav B. Šekara, Željko Kanović, Marko Bošković, Jovan Popović, Stevan Pilipović, Teodor M. Atanacković and Dušan Zorica. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.