Milan Petković
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 5%
- Co-authors
- Willem JonkerVojkan MihajlovićMuhammad AsimW. JonkerLuan IbraimiElisa CostanteJerry den HartogNicola Zannone
- Topics
- Video Analysis and Summarization (14 papers)Cryptography and Data Security (13 papers)Access Control and Trust (11 papers)
- Partner nations
- NetherlandsFinlandSerbia
In The Last Decade
Milan Petković
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 466
- Information Systems 344
- Computer Vision and Pattern Recognition 295
- Sociology and Political Science 237
- Computer Networks and Communications 207
Countries citing papers authored by Milan Petković
This map shows the geographic impact of Milan Petković'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 Petković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Petković more than expected).
Fields of papers citing papers by Milan Petković
This network shows the impact of papers produced by Milan Petković. 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 Petković. The network helps show where Milan Petković may publish in the future.
Co-authorship network of co-authors of Milan Petković
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Petković. A scholar is included among the top collaborators of Milan Petković 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 Petković. Milan Petković 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 | 11 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Improving spare part search for maintenance services using topic modelling | 1 |
| 7 | 27 | |
| 8 | 47 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | Reliable personal health records. | 7 |
| 15 | Proceedings of the 5th VLDB workshop on Secure Data Management | 7 |
| 16 | Security, Privacy and Trust in Modern Data Management (Data-Centric Systems and Applications) | 7 |
| 17 | Controlled Sharing of Personal Content using Digital Rights Management | 3 |
| 18 | 5 | |
| 19 | 5 | |
| 20 | Flexible and scalable digital library search | 3 |
About Milan Petković
Milan Petković is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Analysis and Summarization (14 papers), Cryptography and Data Security (13 papers) and Access Control and Trust (11 papers). The work is most often cited by research in Health Informatics (31 citations), Signal Processing (172 citations) and Information Systems (344 citations). Milan Petković has collaborated with scholars based in Netherlands, Finland and Serbia. Frequent co-authors include Willem Jonker, Vojkan Mihajlović, Muhammad Asim, W. Jonker, Luan Ibraimi, Elisa Costante, Jerry den Hartog, Nicola Zannone, Sergio Consoli and Marco Nalin. Their work appears in journals such as International Journal of Pharmaceutics, Sensors and Australasian Journal of Paramedicine.
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.