Matteo Munaro

1.2k total citations
26 papers, 649 citations indexed

About

Matteo Munaro is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Matteo Munaro has authored 26 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Matteo Munaro's work include Video Surveillance and Tracking Methods (16 papers), Human Pose and Action Recognition (8 papers) and Robotics and Sensor-Based Localization (6 papers). Matteo Munaro is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Human Pose and Action Recognition (8 papers) and Robotics and Sensor-Based Localization (6 papers). Matteo Munaro collaborates with scholars based in Italy, United States and France. Matteo Munaro's co-authors include Emanuele Menegatti, Stefano Ghidoni, Andrea Fossati, Luc Van Gool, Andrea Bernardi, Simone Milani, Pietro Zanuttigh, Marco Carraro, Stefano Michieletto and Radu Bogdan Rusu and has published in prestigious journals such as Robotics and Autonomous Systems, Computers in Industry and Autonomous Robots.

In The Last Decade

Matteo Munaro

25 papers receiving 622 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Munaro Italy 11 498 143 133 80 64 26 649
Martin Dekan Slovakia 12 304 0.6× 86 0.6× 174 1.3× 87 1.1× 45 0.7× 41 625
Aaron Morris United States 9 251 0.5× 90 0.6× 277 2.1× 41 0.5× 45 0.7× 11 502
Vítor Santos Portugal 15 379 0.8× 107 0.7× 209 1.6× 32 0.4× 52 0.8× 81 747
Yumi Iwashita Japan 16 520 1.0× 376 2.6× 194 1.5× 118 1.5× 93 1.5× 93 825
Shihui Guo China 12 328 0.7× 82 0.6× 67 0.5× 84 1.1× 33 0.5× 61 573
Stefan Fuchs Germany 10 317 0.6× 111 0.8× 212 1.6× 25 0.3× 25 0.4× 28 594
Victor Eruhimov United States 6 258 0.5× 60 0.4× 89 0.7× 43 0.5× 56 0.9× 12 474
Francisco J. Romero-Ramírez Spain 7 308 0.6× 65 0.5× 245 1.8× 69 0.9× 26 0.4× 16 549
J. K. Aggarwal United States 13 686 1.4× 185 1.3× 194 1.5× 120 1.5× 184 2.9× 33 900
Max Schwarz Germany 15 457 0.9× 194 1.4× 294 2.2× 112 1.4× 92 1.4× 33 950

Countries citing papers authored by Matteo Munaro

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Munaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Munaro

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Munaro. A scholar is included among the top collaborators of Matteo Munaro 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 Matteo Munaro. Matteo Munaro 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
1.
Rao, Srinivas, Rodrigo Ortiz-Cayon, Matteo Munaro, et al.. (2020). Free-Viewpoint Facial Re-Enactment from a Casual Capture. Pure (University of Bath). 1–2. 3 indexed citations
2.
Munaro, Matteo, et al.. (2018). The "Good or Bad?" Game. View. 177–182.
3.
Carraro, Marco, Matteo Munaro, & Emanuele Menegatti. (2018). Skeleton estimation and tracking by means of depth data fusion from depth camera networks. Robotics and Autonomous Systems. 110. 151–159. 9 indexed citations
4.
Koide, Kenji, Emanuele Menegatti, Marco Carraro, Matteo Munaro, & Jun Miura. (2017). People tracking and re-identification by face recognition for RGB-D camera networks. Padua Research Archive (University of Padova). 1–7. 10 indexed citations
5.
Munaro, Matteo, Radu Bogdan Rusu, & Emanuele Menegatti. (2016). 3D robot perception with Point Cloud Library. Robotics and Autonomous Systems. 78. 97–99. 9 indexed citations
6.
Carraro, Marco, Matteo Munaro, & Emanuele Menegatti. (2016). Cost-efficient RGB-D smart camera for people detection and tracking. Journal of Electronic Imaging. 25(4). 41007–41007. 10 indexed citations
7.
Munaro, Matteo, Simone Milani, Pietro Zanuttigh, et al.. (2015). Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications. Research Padua Archive (University of Padua). 1–6. 93 indexed citations
8.
Munaro, Matteo, et al.. (2015). OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks. Robotics and Autonomous Systems. 75. 525–538. 70 indexed citations
9.
Nanni, Loris, Matteo Munaro, Stefano Ghidoni, Emanuele Menegatti, & Sheryl Brahnam. (2015). Ensemble of different approaches for a reliable person re-identification system. Applied Computing and Informatics. 12(2). 142–153. 14 indexed citations
10.
Ghidoni, Stefano, et al.. (2015). A geometric approach to multiple viewpoint human body pose estimation. Padua Research Archive (University of Padova). 1–6. 4 indexed citations
11.
Cassani, E., Luca Corno, Matteo Munaro, et al.. (2015). Study on the inflorescences of Arundo donax L. clones sampled in Italy. Revista Brasileira de Botânica. 39(1). 275–285. 8 indexed citations
12.
Munaro, Matteo, et al.. (2014). A feature-based approach to people re-identification using skeleton keypoints. Research Padua Archive (University of Padua). 5644–5651. 47 indexed citations
13.
Munaro, Matteo, et al.. (2014). OpenPTrack: People Tracking for Heterogeneous Networks of Color-Depth Cameras. Research Padua Archive (University of Padua). 16 indexed citations
14.
Munaro, Matteo, et al.. (2014). 3D reconstruction of freely moving persons for re-identification with a depth sensor. Padua Research Archive (University of Padova). 4512–4519. 70 indexed citations
15.
Munaro, Matteo & Emanuele Menegatti. (2014). Fast RGB-D people tracking for service robots. Autonomous Robots. 37(3). 227–242. 124 indexed citations
16.
Munaro, Matteo, et al.. (2013). 3DComplete: Efficient completeness inspection using a 2.5D color scanner. Computers in Industry. 64(9). 1237–1252. 2 indexed citations
17.
Munaro, Matteo, et al.. (2013). 3D flow estimation for human action recognition from colored point clouds. Biologically Inspired Cognitive Architectures. 5. 42–51. 20 indexed citations
18.
Munaro, Matteo, et al.. (2011). First sea trials of a laser aided three dimensional underwater image mosaicing technique. Padua Research Archive (University of Padova). 1–7. 6 indexed citations
19.
Munaro, Matteo, et al.. (2011). Fast 2.5D Model Reconstruction Of Assembled Parts With High Occlusion For Completeness Inspection. Zenodo (CERN European Organization for Nuclear Research). 5(11). 1506–1512. 2 indexed citations
20.
Munaro, Matteo, et al.. (2010). Azores FREEsubNET workshop: Habitat mapping of Espalamaca vents and Monte da Guia. 3 indexed citations

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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