Petar Aleksic
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Aggelos K. KatsaggelosIan WilliamsDavid RybachPedro J. MorenoCyril AllauzenGabor SimkoXuedong ZhangTara N. Sainath
- Topics
- Speech Recognition and Synthesis (15 papers)Speech and Audio Processing (13 papers)Music and Audio Processing (11 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Journals
- Proceedings of the IEEEIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Information Forensics and Security
- Partner nations
- United States
In The Last Decade
Petar Aleksic
27 papers receiving 540 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 308
- Signal Processing 292
- Artificial Intelligence 280
- Experimental and Cognitive Psychology 125
- Human-Computer Interaction 41
Countries citing papers authored by Petar Aleksic
This map shows the geographic impact of Petar Aleksic'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 Petar Aleksic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petar Aleksic more than expected).
Fields of papers citing papers by Petar Aleksic
This network shows the impact of papers produced by Petar Aleksic. 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 Petar Aleksic. The network helps show where Petar Aleksic may publish in the future.
Co-authorship network of co-authors of Petar Aleksic
This figure shows the co-authorship network connecting the top 25 collaborators of Petar Aleksic. A scholar is included among the top collaborators of Petar Aleksic 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 Petar Aleksic. Petar Aleksic 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 | 3 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 52 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 56 | |
| 11 | An automated system for visual biometrics | 1 |
| 12 | 83 | |
| 13 | 172 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | 22 | |
| 20 | 36 |
About Petar Aleksic
Petar Aleksic is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 624 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (292 citations), Computer Vision and Pattern Recognition (308 citations) and Experimental and Cognitive Psychology (125 citations). Petar Aleksic has collaborated with scholars based in United States. Frequent co-authors include Aggelos K. Katsaggelos, Ian Williams, David Rybach, Pedro J. Moreno, Cyril Allauzen, Gabor Simko, Xuedong Zhang, Tara N. Sainath, Carolina Parada and Anjuli Kannan. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Information Forensics and Security.
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.