Giulio Marin

1.0k total citations · 1 hit paper
11 papers, 645 citations indexed

About

Giulio Marin is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Human-Computer Interaction. According to data from OpenAlex, Giulio Marin has authored 11 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Instrumentation and 5 papers in Human-Computer Interaction. Recurrent topics in Giulio Marin's work include Advanced Vision and Imaging (5 papers), Advanced Optical Sensing Technologies (5 papers) and Hand Gesture Recognition Systems (5 papers). Giulio Marin is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Optical Sensing Technologies (5 papers) and Hand Gesture Recognition Systems (5 papers). Giulio Marin collaborates with scholars based in Italy. Giulio Marin's co-authors include Pietro Zanuttigh, Fabio Dominio, Guido M. Cortelazzo, Carlo Dal Mutto, Gianluca Agresti and M. Fraccaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Fusion and Multimedia Tools and Applications.

In The Last Decade

Giulio Marin

11 papers receiving 619 citations

Hit Papers

Hand gesture recognition with leap motion and kinect devices 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulio Marin Italy 7 436 349 144 140 83 11 645
Fabio Dominio Italy 8 511 1.2× 385 1.1× 161 1.1× 151 1.1× 93 1.1× 9 696
Cem Keskin United States 19 848 1.9× 999 2.9× 403 2.8× 87 0.6× 37 0.4× 36 1.4k
Hui-Shyong Yeo United Kingdom 14 596 1.4× 273 0.8× 52 0.4× 113 0.8× 37 0.4× 36 801
Hanbyul Joo South Korea 13 190 0.4× 1.3k 3.9× 280 1.9× 158 1.1× 15 0.2× 29 1.6k
Jakub Segen United States 11 232 0.5× 335 1.0× 102 0.7× 58 0.4× 16 0.2× 33 606
Dimitrios Tzionas Germany 11 459 1.1× 1.1k 3.1× 549 3.8× 137 1.0× 16 0.2× 21 1.3k
Xander Twombly United States 4 565 1.3× 393 1.1× 263 1.8× 87 0.6× 40 0.5× 4 652
Ana I. Maqueda Spain 5 156 0.4× 343 1.0× 71 0.5× 43 0.3× 37 0.4× 7 499
Mohammad Safeea Portugal 12 113 0.3× 162 0.5× 283 2.0× 124 0.9× 9 0.1× 20 487
Nadia Figueroa United States 16 85 0.2× 193 0.6× 312 2.2× 205 1.5× 12 0.1× 49 634

Countries citing papers authored by Giulio Marin

Since Specialization
Citations

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

Fields of papers citing papers by Giulio Marin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulio Marin

This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Marin. A scholar is included among the top collaborators of Giulio Marin 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 Giulio Marin. Giulio Marin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Marin, Giulio, et al.. (2019). A multi-camera dataset for depth estimation in an indoor scenario. SHILAP Revista de lepidopterología. 27. 104619–104619. 6 indexed citations
2.
Agresti, Gianluca, et al.. (2018). Stereo and ToF data fusion by learning from synthetic data. Information Fusion. 49. 161–173. 14 indexed citations
3.
Agresti, Gianluca, et al.. (2017). Deep Learning for Confidence Information in Stereo and ToF Data Fusion. Padua Research Archive (University of Padova). 697–705. 23 indexed citations
4.
Zanuttigh, Pietro, et al.. (2016). Time-of-Flight and Structured Light Depth Cameras: Technology and Applications. CERN Document Server (European Organization for Nuclear Research). 22 indexed citations
5.
Zanuttigh, Pietro, et al.. (2016). Time-of-Flight and Structured Light Depth Cameras. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 77 indexed citations
6.
Marin, Giulio, et al.. (2015). 3D hand shape analysis for palm and fingers identification. Padua Research Archive (University of Padova). 1–6. 2 indexed citations
7.
Marin, Giulio, Fabio Dominio, & Pietro Zanuttigh. (2015). Hand gesture recognition with jointly calibrated Leap Motion and depth sensor. Multimedia Tools and Applications. 75(22). 14991–15015. 156 indexed citations
8.
Marin, Giulio, Fabio Dominio, & Pietro Zanuttigh. (2014). Hand gesture recognition with leap motion and kinect devices. Padua Research Archive (University of Padova). 1565–1569. 311 indexed citations breakdown →
9.
Marin, Giulio, et al.. (2013). Palm area detection for reliable hand gesture recognition. Research Padua Archive (University of Padua). 5 indexed citations
10.
Dominio, Fabio, et al.. (2013). Hand gesture recognition with depth data. Padua Research Archive (University of Padova). 9–16. 28 indexed citations
11.
Marin, Giulio. (2013). Confidence Estimation of ToF and Stereo Data for 3D Data Fusion. Stima della Confidenza delle Misure Ottenute da Sensori ToF e da Sistemi Stereo per la Fusione di Dati 3D. 1 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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