Pietro Morerio

56 papers receiving 822 citations

Peers

Pietro Morerio
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 552
  • Artificial Intelligence 280
  • Human-Computer Interaction 123
  • Cognitive Neuroscience 100
  • Biomedical Engineering 91
Replace Jianqin Yin with:
Jianqin Yin China
Raymond Ptucha United States
Dushyant Kumar Singh India
Yanhao Zhang China
Cheston Tan Singapore
Zoran Đurić United States
Gemma Roig Germany
Forrest Iandola United States
Aznul Qalid Md Sabri Malaysia
Pietro Morerio relative to Jianqin Yin China Jianqin Yin's profile →
Citations per field
00.5×4.9×
Jianqin Yin · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 14
6 3
7 7
8 14
9 1
10 27
11 30
12 16
13 31
14
Dropout as a Low-Rank Regularizer for Matrix Factorization.
3
15
Curriculum Dropout
10
16
A generative superpixel method
7
17
An Overview of First Person Vision and Egocentric Video Analysis for Personal Mobile Wearable Devices
3
18
Hand detection in First Person Vision
20
19
A bio-inspired knowledge representation method for anomaly detection in cognitive Video Surveillance systems
6
20
A multi-sensor cognitive approach for active security monitoring of abnormal overcrowding situations
9

About Pietro Morerio

Pietro Morerio is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 62 papers that have together received 849 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Anomaly Detection Techniques and Applications (15 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (552 citations), Human-Computer Interaction (123 citations) and Artificial Intelligence (280 citations). Pietro Morerio has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Carlo S. Regazzoni, Vittorio Murino, Alessio Del Bue, Lucio Marcenaro, Matthias Rauterberg, Alejandro Betancourt, Nuno C. Garcia, Riccardo Volpi, Jacopo Cavazza and Renè Vidal. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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