Pietro Morerio

145 total papers · 1.8k total citations
61 papers, 835 citations indexed

About

Pietro Morerio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pietro Morerio has authored 61 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Pietro Morerio's work include Video Surveillance and Tracking Methods (18 papers), Human Pose and Action Recognition (15 papers) and Anomaly Detection Techniques and Applications (15 papers). Pietro Morerio is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Human Pose and Action Recognition (15 papers) and Anomaly Detection Techniques and Applications (15 papers). Pietro Morerio collaborates with scholars based in Italy, United States and Netherlands. Pietro Morerio's co-authors include Carlo S. Regazzoni, Vittorio Murino, Alessio Del Bue, Lucio Marcenaro, Alejandro Betancourt, Matthias Rauterberg, Nuno C. Garcia, Riccardo Volpi, Jacopo Cavazza and Renè Vidal and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Pietro Morerio

56 papers receiving 811 citations

Author Peers

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

Author						Papers	Cites
Pietro Morerio	548	272	123	97	91	61	835
Jingyong Su	520 0.9×	217 0.8×	91 0.7×	44 0.5×	152 1.7×	56	813
Anouar Ben Khalifa	459 0.8×	171 0.6×	216 1.8×	56 0.6×	99 1.1×	61	741
O.V. Ramana Murthy	497 0.9×	155 0.6×	53 0.4×	146 1.5×	93 1.0×	58	910
Muhammad Uzair	446 0.8×	231 0.8×	39 0.3×	107 1.1×	60 0.7×	54	992
Chong Wang	524 1.0×	224 0.8×	220 1.8×	52 0.5×	110 1.2×	90	968
Peng Zhang	461 0.8×	227 0.8×	32 0.3×	97 1.0×	82 0.9×	103	916
Joseph Lemley	313 0.6×	237 0.9×	92 0.7×	79 0.8×	38 0.4×	43	791
Mohamad Ivan Fanany	254 0.5×	461 1.7×	53 0.4×	116 1.2×	93 1.0×	89	1.0k
Mohsen Soryani	360 0.7×	231 0.8×	70 0.6×	50 0.5×	75 0.8×	67	938
Venkatesh K. Subramanian	567 1.0×	211 0.8×	44 0.4×	47 0.5×	43 0.5×	47	870

Countries citing papers authored by Pietro Morerio

Since Specialization

Citations

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

Fields of papers citing papers by Pietro Morerio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Morerio

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