Mario Casillo

53 papers receiving 677 citations

Peers

Mario Casillo
Comparison fields: 5 of 96
  • Geology 88
  • Space and Planetary Science 20
  • Conservation 50
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 156
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David Arnold United Kingdom
Manjula Patel United Kingdom
Jai E. Jung South Korea
Graeme Horsman United Kingdom
Dimitrios K. Tsolis Greece
Nitin Gupta India
Mehul Bhatt Germany
Enis Karaarslan Türkiye
Awais Khan Jumani Pakistan
Jianping Zhang China
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Citations per field
00.5×5×10×15.5×
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Citations per year

Countries citing papers authored by Mario Casillo

Since Specialization
Citations

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

Fields of papers citing papers by Mario Casillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mario Casillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Casillo Line = papers co-authored together Mario Casillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 200754
3 202145
4 202038
5 202233
6 201932
7 202230
8 202430
9 201928
10 202423
11 202219
12 202219
13 201718
14 202217
15 202117
16 202214
17 201613
18 202212
19 202112
20 202511

About Mario Casillo

Mario Casillo is a scholar working on Computer Vision and Pattern Recognition, Geology, Information Systems, Computer Networks and Communications and Transportation, having authored 57 papers that have together received 701 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), IoT and Edge/Fog Computing (10 papers), 3D Surveying and Cultural Heritage (8 papers), Video Analysis and Summarization (8 papers), Human Mobility and Location-Based Analysis (6 papers), Robotics and Automated Systems (5 papers), Conservation Techniques and Studies (5 papers) and AI in Service Interactions (5 papers). The work is most often cited by research in Geology (88 citations), Space and Planetary Science (20 citations), Conservation (50 citations), Signal Processing (90 citations) and Computer Vision and Pattern Recognition (156 citations). Mario Casillo has collaborated with scholars based in Italy, Taiwan and India. Frequent co-authors include Domenico Santaniello, Francesco Colace, Marco Lombardi, Angelo Lorusso, Carmine Valentino, Massimo De Santo, Fabio Clarizia, Brij Bhooshan Gupta, Francesco Pascale and Dajana Conte. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems, Journal of Ambient Intelligence and Humanized Computing, Electronics and International journal of engineering education.

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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