Emilio Maggio

1.1k total citations
17 papers, 699 citations indexed

About

Emilio Maggio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Emilio Maggio has authored 17 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Emilio Maggio's work include Video Surveillance and Tracking Methods (11 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Infrared Target Detection Methodologies (4 papers). Emilio Maggio is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Infrared Target Detection Methodologies (4 papers). Emilio Maggio collaborates with scholars based in United Kingdom, Switzerland and Italy. Emilio Maggio's co-authors include Andrea Cavallaro, Murtaza Taj, Carlo S. Regazzoni, Fabrizio Smeraldi, Pierre Vandergheynst, Pietro Falco, Máximo A. Roa, Daniel Leidner, Franziska Zacharias and Christoph Borst and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Computer Vision and Image Understanding.

In The Last Decade

Emilio Maggio

16 papers receiving 666 citations

Peers

Emilio Maggio
Frederick Tung Canada
Sunita Hingorani United States
Nobuyoshi Enomoto Japan
Jack Sim United States
Qinfen Zheng United States
Yao Sui China
Guofeng Zou China
Carine Hue France
Frederick Tung Canada
Emilio Maggio
Citations per year, relative to Emilio Maggio Emilio Maggio (= 1×) peers Frederick Tung

Countries citing papers authored by Emilio Maggio

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Maggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Maggio

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

All Works

17 of 17 papers shown
1.
Borst, Christoph, Franziska Zacharias, Florian Schmidt, et al.. (2012). Advanced Bimanual Manipulation. 2 indexed citations
2.
Maggio, Emilio & Andrea Cavallaro. (2011). Video Tracking: Theory and Practice. 99 indexed citations
3.
Maggio, Emilio & Andrea Cavallaro. (2010). Video Tracking. 101 indexed citations
4.
Maggio, Emilio & Andrea Cavallaro. (2009). Learning Scene Context for Multiple Object Tracking. IEEE Transactions on Image Processing. 18(8). 1873–1884. 34 indexed citations
5.
Maggio, Emilio, et al.. (2009). Grouping motion trajectories. b 36. 1477–1480. 2 indexed citations
6.
Maggio, Emilio & Andrea Cavallaro. (2008). Accurate appearance-based Bayesian tracking for maneuvering targets. Computer Vision and Image Understanding. 113(4). 544–555. 20 indexed citations
7.
Maggio, Emilio, Murtaza Taj, & Andrea Cavallaro. (2008). Efficient Multitarget Visual Tracking Using Random Finite Sets. IEEE Transactions on Circuits and Systems for Video Technology. 18(8). 1016–1027. 126 indexed citations
8.
Taj, Murtaza, Emilio Maggio, & Andrea Cavallaro. (2007). Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset.. 160–173. 1 indexed citations
9.
Vandergheynst, Pierre, et al.. (2007). Tracking Atoms with Particles for Audio-Visual Source Localization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). II–753. 1 indexed citations
10.
Maggio, Emilio, et al.. (2007). Adaptive Multifeature Tracking in a Particle Filtering Framework. IEEE Transactions on Circuits and Systems for Video Technology. 17(10). 1348–1359. 65 indexed citations
11.
Maggio, Emilio, et al.. (2007). Particle PHD Filtering for Multi-Target Visual Tracking. I–1101. 50 indexed citations
12.
Vandergheynst, Pierre, et al.. (2006). Tracking Atoms with Particles. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
13.
Maggio, Emilio & Andrea Cavallaro. (2006). Hybrid Particle Filter and Mean Shift tracker with adaptive transition model. 2. 221–224. 120 indexed citations
14.
Maggio, Emilio, Fabrizio Smeraldi, & Andrea Cavallaro. (2005). Combining Colour and Orientation for Adaptive Particle Filter–based Tracking. 79.1–79.10. 22 indexed citations
15.
Maggio, Emilio & Andrea Cavallaro. (2005). Multi-part target representation for color tracking. I–729. 50 indexed citations
16.
Maggio, Emilio, et al.. (2004). Hybrid Video Coding Based on Bidimensional Matching Pursuit. EURASIP Journal on Advances in Signal Processing. 2004(17). 4 indexed citations
17.
Maggio, Emilio, et al.. (2003). Hybrid video coding using bi-dimensional matching pursuit. Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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