Marco Del Coco

765 total citations
21 papers, 377 citations indexed

About

Marco Del Coco is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Marco Del Coco has authored 21 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Marco Del Coco's work include Target Tracking and Data Fusion in Sensor Networks (4 papers), Autism Spectrum Disorder Research (4 papers) and Face and Expression Recognition (3 papers). Marco Del Coco is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (4 papers), Autism Spectrum Disorder Research (4 papers) and Face and Expression Recognition (3 papers). Marco Del Coco collaborates with scholars based in Italy, United Kingdom and Spain. Marco Del Coco's co-authors include Marco Leo, Pierluigi Carcagnì, Cosimo Distante, Giovanni Pioggia, Giuseppe Massimo Bernava, Paolo Spagnolo, Pier Luigi Mazzeo, Giuseppe Palestra, Andrea De Salve and Giuseppe Ricci and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Marco Del Coco

21 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Del Coco Italy 10 176 116 98 53 28 21 377
Salma Kammoun Jarraya Saudi Arabia 11 123 0.7× 51 0.4× 109 1.1× 54 1.0× 7 0.3× 33 309
Egils Avots Estonia 10 286 1.6× 188 1.6× 84 0.9× 69 1.3× 11 0.4× 23 659
Dario Cazzato Italy 10 227 1.3× 18 0.2× 53 0.5× 22 0.4× 4 0.1× 29 428
Liliana Lo Presti Italy 9 474 2.7× 57 0.5× 69 0.7× 171 3.2× 3 0.1× 29 611
Rehmat Ullah Pakistan 10 66 0.4× 35 0.3× 30 0.3× 19 0.4× 4 0.1× 20 252
Xiaoli Yang United States 12 206 1.2× 38 0.3× 74 0.8× 62 1.2× 5 0.2× 50 467
Thomas Kübler Germany 14 150 0.9× 31 0.3× 137 1.4× 27 0.5× 9 0.3× 30 630
Masayoshi Kanoh Japan 11 96 0.5× 65 0.6× 56 0.6× 182 3.4× 3 0.1× 106 474
Choubeila Maaoui France 17 95 0.5× 232 2.0× 175 1.8× 37 0.7× 3 0.1× 41 776
Siyang Song United Kingdom 13 261 1.5× 303 2.6× 108 1.1× 88 1.7× 11 0.4× 64 597

Countries citing papers authored by Marco Del Coco

Since Specialization
Citations

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

Fields of papers citing papers by Marco Del Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Del Coco. 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 Marco Del Coco. The network helps show where Marco Del Coco may publish in the future.

Co-authorship network of co-authors of Marco Del Coco

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Del Coco. A scholar is included among the top collaborators of Marco Del Coco 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 Marco Del Coco. Marco Del Coco 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.
Coco, Marco Del, Pierluigi Carcagnì, Sergio Trilles, Ditsuhi Iskandaryan, & Marco Leo. (2025). The Role of AI in Smart Mobility: A Comprehensive Survey. Electronics. 14(9). 1801–1801. 2 indexed citations
2.
Coco, Marco Del, Marco Leo, & Pierluigi Carcagnì. (2024). Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?. Information. 15(6). 306–306. 16 indexed citations
3.
Colantonio, Sara, et al.. (2023). Computer Vision Tasks for Ambient Intelligence in Children’s Health. Information. 14(10). 548–548. 3 indexed citations
4.
Carcagnì, Pierluigi, Marco Leo, Marco Del Coco, Cosimo Distante, & Andrea De Salve. (2023). Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI. Sensors. 23(3). 1694–1694. 35 indexed citations
5.
Coco, Marco Del, et al.. (2022). Characterization of a Collection of Colored Lentil Genetic Resources Using a Novel Computer Vision Approach. Foods. 11(24). 3964–3964. 3 indexed citations
6.
Aiello, Giorgia, et al.. (2019). A context agnostic air quality service to exploit data in the IoE era. 1–8. 1 indexed citations
7.
Leo, Marco, Pierluigi Carcagnì, Marco Del Coco, et al.. (2018). Towards the Automatic Assessment of Abilities to produce Facial Expressions: the case study of children with ASD. 66 (4 pp.)–66 (4 pp.). 6 indexed citations
8.
Leo, Marco, et al.. (2017). Robust Estimation of Object Dimensions and External Defect Detection with a Low-Cost Sensor. Journal of Nondestructive Evaluation. 36(1). 11 indexed citations
9.
Mazzeo, Pier Luigi, Paolo Spagnolo, Marco Leo, et al.. (2017). Dense descriptor for visual tracking and robust update model strategy. Journal of Ambient Intelligence and Humanized Computing. 11(8). 3089–3099. 7 indexed citations
10.
Coco, Marco Del, Marco Leo, Pierluigi Carcagnì, et al.. (2017). A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders. 1401–1407. 25 indexed citations
11.
Coco, Marco Del, Marco Leo, Pierluigi Carcagnì, et al.. (2017). Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot. IEEE Transactions on Cognitive and Developmental Systems. 10(4). 993–1004. 26 indexed citations
12.
Leo, Marco, Marco Del Coco, Pierluigi Carcagnì, et al.. (2017). Automatic visual monitoring of welding procedure in stainless steel kegs. Optics and Lasers in Engineering. 104. 220–231. 25 indexed citations
13.
Coco, Marco Del, Pierluigi Carcagnì, Marco Leo, et al.. (2016). Assessment of deep learning for gender classification on traditional datasets. 271–277. 4 indexed citations
14.
Carcagnì, Pierluigi, Marco Del Coco, Marco Leo, & Cosimo Distante. (2015). Facial expression recognition and histograms of oriented gradients: a comprehensive study. SpringerPlus. 4(1). 645–645. 126 indexed citations
15.
Leo, Marco, Marco Del Coco, Pierluigi Carcagnì, et al.. (2015). Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment. 537–545. 51 indexed citations
16.
Carcagnì, Pierluigi, Dario Cazzato, Marco Del Coco, et al.. (2015). Soft Biometrics for a Socially Assistive Robotic Platform. SHILAP Revista de lepidopterología. 6(1). 2 indexed citations
17.
Carcagnì, Pierluigi, Marco Del Coco, Dario Cazzato, Marco Leo, & Cosimo Distante. (2015). A study on different experimental configurations for age, race, and gender estimation problems. EURASIP Journal on Image and Video Processing. 2015(1). 16 indexed citations
18.
Coco, Marco Del & Andrea Cavallaro. (2014). Parallel particle-PHD filter. 6578–6582. 4 indexed citations
19.
Bandiera, Francesco, Marco Del Coco, & Giuseppe Ricci. (2013). A multitarget range-azimuth tracker for maritime applications. 25–28. 1 indexed citations
20.
Coco, Marco Del, Danilo Orlando, & Giuseppe Ricci. (2012). A Tracking System Exploiting Interaction Between a Detector With Localization Capabilities and the KF. IEEE Transactions on Signal Processing. 60(11). 6031–6036. 11 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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