Petar Veličković

130 total papers · 14.3k total citations
27 papers, 880 citations indexed

About

Petar Veličković is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Petar Veličković has authored 27 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Petar Veličković's work include Advanced Graph Neural Networks (6 papers), vaccines and immunoinformatics approaches (3 papers) and Sports Performance and Training (3 papers). Petar Veličković is often cited by papers focused on Advanced Graph Neural Networks (6 papers), vaccines and immunoinformatics approaches (3 papers) and Sports Performance and Training (3 papers). Petar Veličković collaborates with scholars based in United Kingdom, Canada and United States. Petar Veličković's co-authors include Píetro Lió, Pietro Sormanni, Yoshua Bengio, Michele Vendruscolo, Edgar Liberis, William L. Hamilton, William Fedus, R Devon Hjelm, Lars Buesing and Charles Blundell and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Petar Veličković

23 papers receiving 835 citations

Hit Papers

Advancing mathematics by ... 2021 2026 2022 2024 2021 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Petar Veličković 377 210 139 138 84 27 880
Kushal Kanti Ghosh 459 1.2× 117 0.6× 39 0.3× 169 1.2× 102 1.2× 32 870
Zhiqiang Hu 302 0.8× 133 0.6× 72 0.5× 157 1.1× 128 1.5× 51 751
Erik Nijkamp 415 1.1× 170 0.8× 53 0.4× 272 2.0× 37 0.4× 22 1.0k
Carlo Baldassi 468 1.2× 222 1.1× 28 0.2× 155 1.1× 81 1.0× 35 957
Qingquan Song 555 1.5× 42 0.2× 75 0.5× 238 1.7× 52 0.6× 23 1.0k
Walter A. Kosters 235 0.6× 128 0.6× 24 0.2× 130 0.9× 98 1.2× 50 703
Jing Li 159 0.4× 80 0.4× 94 0.7× 92 0.7× 224 2.7× 37 987
Jianjia Wang 346 0.9× 49 0.2× 86 0.6× 143 1.0× 27 0.3× 56 917
Mohak Shah 501 1.3× 103 0.5× 63 0.5× 129 0.9× 61 0.7× 10 1.0k
Michał Walczak 175 0.5× 249 1.2× 41 0.3× 39 0.3× 81 1.0× 19 799

Countries citing papers authored by Petar Veličković

Since Specialization
Citations

This map shows the geographic impact of Petar Veličković'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 Veličković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petar Veličković more than expected).

Fields of papers citing papers by Petar Veličković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petar Veličković. 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 Veličković. The network helps show where Petar Veličković may publish in the future.

Co-authorship network of co-authors of Petar Veličković

This figure shows the co-authorship network connecting the top 25 collaborators of Petar Veličković. A scholar is included among the top collaborators of Petar Veličković 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 Veličković. Petar Veličković 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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