G. Attolico

1.1k total citations
66 papers, 751 citations indexed

About

G. Attolico is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Plant Science. According to data from OpenAlex, G. Attolico has authored 66 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 15 papers in Analytical Chemistry and 13 papers in Plant Science. Recurrent topics in G. Attolico's work include Spectroscopy and Chemometric Analyses (15 papers), Robotic Path Planning Algorithms (14 papers) and Robotics and Sensor-Based Localization (9 papers). G. Attolico is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Robotic Path Planning Algorithms (14 papers) and Robotics and Sensor-Based Localization (9 papers). G. Attolico collaborates with scholars based in Italy, United States and Slovenia. G. Attolico's co-authors include Maria Cefola, Bernardo Pace, A. Distante, Antonio Logrieco, Michela Palumbo, Giovanna Castellano, Arcangelo Distante, Giancarlo Colelli, Grazia Cicirelli and Vittorio Capozzi and has published in prestigious journals such as Food Research International, Journal of Food Engineering and Computers and Electronics in Agriculture.

In The Last Decade

G. Attolico

57 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Attolico Italy 16 302 234 131 127 114 66 751
Ke Sun China 16 195 0.6× 336 1.4× 258 2.0× 218 1.7× 115 1.0× 34 963
Aichen Wang China 16 803 2.7× 310 1.3× 77 0.6× 117 0.9× 106 0.9× 43 1.2k
Laijun Sun China 16 233 0.8× 527 2.3× 48 0.4× 172 1.4× 90 0.8× 68 885
Baoxing Gu China 12 440 1.5× 173 0.7× 69 0.5× 101 0.8× 64 0.6× 22 734
Huazhong Lu China 18 392 1.3× 323 1.4× 52 0.4× 229 1.8× 96 0.8× 74 942
Waqar S. Qureshi Pakistan 20 511 1.7× 258 1.1× 156 1.2× 175 1.4× 43 0.4× 49 1.1k
Guangzhao Tian China 11 403 1.3× 152 0.6× 71 0.5× 76 0.6× 65 0.6× 22 669
Jifeng Shen China 18 273 0.9× 266 1.1× 255 1.9× 127 1.0× 31 0.3× 56 935

Countries citing papers authored by G. Attolico

Since Specialization
Citations

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

Fields of papers citing papers by G. Attolico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Attolico

This figure shows the co-authorship network connecting the top 25 collaborators of G. Attolico. A scholar is included among the top collaborators of G. Attolico 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 G. Attolico. G. Attolico 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.
Pio, Gianvito, et al.. (2025). Handling complex backgrounds and light perturbations for enhancing learning tasks from images of vegetables. Journal of Intelligent Information Systems. 64(1). 215–238.
2.
3.
Attolico, G., Maria Cefola, Francesco Fabiano Montesano, et al.. (2023). Sustaining low-impact practices in horticulture through non-destructive approach to provide more information on fresh produce history and quality: the SUS&LOW project. Advances in Horticultural Science. 37(1). 123–132. 1 indexed citations
4.
Palumbo, Michela, et al.. (2023). Semantic Segmentation of Packaged and Unpackaged Fresh-Cut Apples Using Deep Learning. Applied Sciences. 13(12). 6969–6969. 5 indexed citations
5.
Palumbo, Michela, G. Attolico, Vittorio Capozzi, et al.. (2022). Emerging Postharvest Technologies to Enhance the Shelf-Life of Fruit and Vegetables: An Overview. Foods. 11(23). 3925–3925. 92 indexed citations
6.
Garbetta, Antonella, Isabella D’Antuono, Angela Cardinali, et al.. (2018). Influence of in vitro digestion process on polyphenolic profile of skin grape (cv. Italia) and on antioxidant activity in basal or stressed conditions of human intestinal cell line (HT-29). Food Research International. 106. 878–884. 25 indexed citations
7.
Cefola, Maria, et al.. (2018). Non-destructive and contactless quality evaluation of table grapes by a computer vision system. Computers and Electronics in Agriculture. 156. 558–564. 67 indexed citations
8.
Cefola, Maria, et al.. (2017). Non-destructive automatic quality evaluation of fresh-cut iceberg lettuce through packaging material. Journal of Food Engineering. 223. 46–52. 48 indexed citations
9.
Pace, Bernardo, et al.. (2014). Non-destructive evaluation of quality and ammonia content in whole and fresh-cut lettuce by computer vision system. Food Research International. 64. 647–655. 29 indexed citations
10.
Pace, Bernardo, et al.. (2011). Relationship between visual appearance and browning as evaluated by image analysis and chemical traits in fresh-cut nectarines. Postharvest Biology and Technology. 61(2-3). 178–183. 55 indexed citations
11.
Felice, Fabio De, et al.. (2007). A haptic/acoustic application to allow blind the access to spatial information. 310–315. 16 indexed citations
12.
Cicirelli, Grazia, et al.. (2006). Automatic construction of 2D and 3D models during robot inspection. Industrial Robot the international journal of robotics research and application. 33(5). 387–393. 11 indexed citations
13.
Attolico, G., et al.. (2005). Planar Map and 3D Model Construction Using a Mobile Robot. Proceedings of the ... ISARC. 1 indexed citations
14.
Ancona, Nicola, et al.. (2004). Correcting Colours for Aided Recomposition of Fragments.. 593–598.
15.
Spagnolo, Paolo, Marco Leo, G. Attolico, & A. Distante. (2004). Posture recognition in visual surveillance of archeological sites. 2. 1542–1547. 2 indexed citations
16.
Attolico, G., et al.. (2003). Building low cost vehicles for simple reactive behaviors. 6. 675–680. 4 indexed citations
17.
Attolico, G., et al.. (2003). <title>Fragment similarity evaluation in virtual aided recomposition of frescos</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4877. 165–174. 1 indexed citations
18.
Lovergine, Francesco, et al.. (2002). Leather inspection by oriented texture analysis with a morphological approach. 669–671. 21 indexed citations
19.
Stella, Ettore, et al.. (1997). Focus of Expansion estimation by an error backpropagation neural network. Neural Computing and Applications. 6(3). 142–147.
20.
Attolico, G., et al.. (1997). Classification and segmentation of vector flow fields using a neural network. Machine Vision and Applications. 10(4). 174–187. 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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