M. De Cecco

8.7k total citations
83 papers, 708 citations indexed

About

M. De Cecco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, M. De Cecco has authored 83 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 16 papers in Biomedical Engineering. Recurrent topics in M. De Cecco's work include Robotics and Sensor-Based Localization (11 papers), Optical measurement and interference techniques (10 papers) and 3D Surveying and Cultural Heritage (8 papers). M. De Cecco is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Optical measurement and interference techniques (10 papers) and 3D Surveying and Cultural Heritage (8 papers). M. De Cecco collaborates with scholars based in Italy, Japan and Austria. M. De Cecco's co-authors include Marco Pertile, Matteo Zanetti, Manuela Galli, Marco Tarabini, Matteo Zago, F. Angrilli, Mauro Da Lio, Giandomenico Nollo, D. Bortoluzzi and M. Benedetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Mechanical Systems and Signal Processing.

In The Last Decade

M. De Cecco

78 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. De Cecco Italy	15	186	161	156	93	92	83	708
Manuel Martínez Germany	13	399 2.1×	256 1.6×	116 0.7×	41 0.4×	66 0.7×	32	812
Marco Tarabini Italy	16	79 0.4×	85 0.5×	294 1.9×	83 0.9×	29 0.3×	161	1.1k
Dongsheng Zhou China	16	469 2.5×	99 0.6×	107 0.7×	26 0.3×	47 0.5×	96	856
Seongjoo Lee South Korea	15	228 1.2×	104 0.6×	159 1.0×	318 3.4×	57 0.6×	104	849
Philippe Ravier France	14	75 0.4×	49 0.3×	223 1.4×	85 0.9×	166 1.8×	90	722
Shingo Shimoda Japan	19	151 0.8×	98 0.6×	502 3.2×	34 0.4×	361 3.9×	108	1.1k
Hassan Ezzaidi Canada	16	105 0.6×	54 0.3×	65 0.4×	294 3.2×	32 0.3×	56	714
Takeshi Saitoh Japan	15	258 1.4×	82 0.5×	88 0.6×	166 1.8×	66 0.7×	109	990
R. Dilmaghani United Kingdom	12	117 0.6×	71 0.4×	188 1.2×	228 2.5×	89 1.0×	26	678

Countries citing papers authored by M. De Cecco

Since Specialization

Citations

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

Fields of papers citing papers by M. De Cecco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. De Cecco. 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 M. De Cecco. The network helps show where M. De Cecco may publish in the future.

Co-authorship network of co-authors of M. De Cecco

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

All Works

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20 of 20 papers shown

Zanetti, Matteo, et al.. (2025). Extrinsic Calibration and Spindle Axis Diagnostics of Linear Range Sensors in Rotating Configurations. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations

Pasinetti, Simone, et al.. (2023). Experimental Procedure for the Metrological Characterization of Time-of-Flight Cameras for Human Body 3D Measurements. Sensors. 23(1). 538–538. 10 indexed citations

Cecco, M. De, et al.. (2023). Augmented Reality-based demo for Immersive training in horticultural therapy. Institutional Research Information System (Università degli Studi di Trento). 759–761.

Zanetti, Matteo, et al.. (2022). Object Pose Detection to Enable 3D Interaction from 2D Equirectangular Images in Mixed Reality Educational Settings. Applied Sciences. 12(11). 5309–5309. 1 indexed citations

Zanetti, Matteo, et al.. (2022). Omnidirectional camera pose estimation and projective texture mapping for photorealistic 3D virtual reality experiences. ACTA IMEKO. 11(2). 1–1. 1 indexed citations

Lancini, Matteo, et al.. (2022). Monte Carlo-based 3D surface point cloud volume estimation by exploding local cubes faces. ACTA IMEKO. 11(2). 1–1. 9 indexed citations

Zanetti, Matteo, et al.. (2022). Stabilization of spherical videos based on feature uncertainty. The Visual Computer. 39(9). 4103–4116.

Zanetti, Matteo, et al.. (2021). Wheelchair driving strategies: A comparison between standard joystick and gaze-based control. Assistive Technology. 35(2). 180–192. 3 indexed citations

Zanetti, Matteo, et al.. (2021). RoboEye, an Efficient, Reliable and Safe Semi-Autonomous Gaze Driven Wheelchair for Domestic Use. SHILAP Revista de lepidopterología. 9(1). 16–16. 7 indexed citations

10.

Zanetti, Matteo, Luca Faes, Giandomenico Nollo, et al.. (2019). Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. Entropy. 21(3). 275–275. 32 indexed citations

11.

Zanetti, Matteo, et al.. (2019). Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. Journal of Ambient Intelligence and Humanized Computing. 12(4). 4409–4418. 34 indexed citations

12.

Pasinetti, Simone, et al.. (2019). Assisted Gait Phase Estimation Through an Embedded Depth Camera Using Modified Random Forest Algorithm Classification. IEEE Sensors Journal. 20(6). 3343–3355. 16 indexed citations

13.

Cecco, M. De, et al.. (2018). Sigma- z random forest, classification and confidence. Measurement Science and Technology. 30(2). 25002–25002. 9 indexed citations

14.

Cecco, M. De, et al.. (2017). Automatic graph based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras. Robotics and Autonomous Systems. 98. 105–125. 14 indexed citations

15.

Setti, Francesco, et al.. (2015). Garment-based motion capture (GaMoCap): high-density capture of human shape in motion. Machine Vision and Applications. 26(7-8). 955–973. 5 indexed citations

16.

Lio, Mauro Da, et al.. (2012). Force and touch make video games 'serious' for dexterity rehabilitation.. PubMed. 177. 139–44. 9 indexed citations

17.

Zaccariotto, Mirco, et al.. (2006). High Resolution Servomotor for Space Application. Institutional Research Information System (Università degli Studi di Trento). 7(1). 41–49. 1 indexed citations

18.

Pavarin, Daniele, M. Lambert, Alessandro Francesconi, et al.. (2005). Analysis of Goce's Disturbances Induced by Hypervelocity Impact. Research Padua Archive (University of Padua). 587. 437. 3 indexed citations

19.

Zaccariotto, Mirco, M. De Cecco, S. Debei, & Marco Pertile. (2002). Calibration of an electro-mechanical shutter: dynamical effects. Institutional Research Information System (Università degli Studi di Trento). 2 indexed citations

20.

Colombatti, Giacomo, Alessandro Francesconi, P. F. Lion Stoppato, et al.. (2000). Experimental characterisation of new design thermometers for planetary atmospheric measurements. Research Padua Archive (University of Padua). 32. 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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