Nebojša Budimirović
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Nebojša BačaninMiodrag ŽivkovićLuka JovanovićMiloš AntonijevićAleksandar PetrovićCătălin StoeanAmit ChhabraIvana Strumberger
- Topics
- Anomaly Detection Techniques and Applications (6 papers)Energy Load and Power Forecasting (4 papers)Solar Radiation and Photovoltaics (3 papers)
- Journals
- PLoS ONESensorsApplied Sciences
In The Last Decade
Nebojša Budimirović
17 papers receiving 251 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 131
- Computer Networks and Communications 56
- Electrical and Electronic Engineering 51
- Information Systems 33
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Nebojša Budimirović
This map shows the geographic impact of Nebojša Budimirović'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 Nebojša Budimirović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nebojša Budimirović more than expected).
Fields of papers citing papers by Nebojša Budimirović
This network shows the impact of papers produced by Nebojša Budimirović. 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 Nebojša Budimirović. The network helps show where Nebojša Budimirović may publish in the future.
Co-authorship network of co-authors of Nebojša Budimirović
This figure shows the co-authorship network connecting the top 25 collaborators of Nebojša Budimirović. A scholar is included among the top collaborators of Nebojša Budimirović 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 Nebojša Budimirović. Nebojša Budimirović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 38 | |
| 7 | 41 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 49 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 39 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | AN AN APPROACH TO HUMAN ACTIVITY CLUSTERING USING INERTIAL MEASUREMENT DATA | 1 |
About Nebojša Budimirović
Nebojša Budimirović is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Energy Load and Power Forecasting (4 papers) and Solar Radiation and Photovoltaics (3 papers). The work is most often cited by research in Artificial Intelligence (131 citations), Computer Networks and Communications (56 citations) and Signal Processing (26 citations). Nebojša Budimirović has collaborated with scholars based in Serbia, Jordan and India. Frequent co-authors include Nebojša Bačanin, Miodrag Živković, Luka Jovanović, Miloš Antonijević, Aleksandar Petrović, Cătălin Stoean, Amit Chhabra, Ivana Strumberger, Ahmad Ali AlZubi and K. Venkatachalam. Their work appears in journals such as PLoS ONE, Sensors and Applied Sciences.
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.