Petar Aleksic

43 total papers · 964 total citations
28 papers, 623 citations indexed

About

Petar Aleksic is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Petar Aleksic has authored 28 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 16 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Petar Aleksic's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Petar Aleksic is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Petar Aleksic collaborates with scholars based in United States. Petar Aleksic's co-authors include Aggelos K. Katsaggelos, David Rybach, Ian Williams, Pedro J. Moreno, Cyril Allauzen, Tara N. Sainath, Gabor Simko, Xuedong Zhang, Carolina Parada and Anjuli Kannan and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Petar Aleksic

27 papers receiving 538 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Petar Aleksic 308 292 278 125 41 28 623
Yu Gu 266 0.9× 177 0.6× 254 0.9× 57 0.5× 23 0.6× 49 629
Chloé Clavel 192 0.6× 281 1.0× 429 1.5× 162 1.3× 21 0.5× 59 771
Claude C. Chibelushi 389 1.3× 262 0.9× 149 0.5× 101 0.8× 29 0.7× 39 735
Veton Këpuska 126 0.4× 136 0.5× 316 1.1× 63 0.5× 37 0.9× 32 570
J.N. Gowdy 285 0.9× 581 2.0× 262 0.9× 55 0.4× 56 1.4× 53 756
Ashish Verma 149 0.5× 238 0.8× 334 1.2× 58 0.5× 12 0.3× 69 558
Wanjuan Su 274 0.9× 92 0.3× 168 0.6× 258 2.1× 32 0.8× 24 567
Md. Jahangir Alam 344 1.1× 407 1.4× 304 1.1× 26 0.2× 40 1.0× 58 745
Zekeriya TÜFEKCİ 247 0.8× 566 1.9× 250 0.9× 50 0.4× 12 0.3× 34 698
Luis A. Hernández Gómez 95 0.3× 270 0.9× 299 1.1× 67 0.5× 19 0.5× 67 598

Countries citing papers authored by Petar Aleksic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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