Danilo Avola

2.0k citations
102 papers · 1.4k · h-index 23

Impact in

Papers in

Danilo Avola

92 papers receiving 1.4k citations

Peers

Danilo Avola
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 810
  • Human-Computer Interaction 199
  • Media Technology 96
  • Artificial Intelligence 367
  • Rehabilitation 56
Replace Francesca Odone with:
Francesca Odone Italy
Grazia Cicirelli Italy
Jun Takamatsu Japan
Haiwei Dong Canada
Diego R. Faria United Kingdom
Xinghao Chen China
Kai‐Tai Song Taiwan
Odest Chadwicke Jenkins United States
Cristina Urdiales Spain
Taojiannan Yang United States
Danilo Avola relative to Francesca Odone Italy Francesca Odone's profile →
Citations per field
00.5×2.7×
Francesca Odone · 1×
Citations per year

Countries citing papers authored by Danilo Avola

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Avola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danilo Avola, 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 Danilo Avola Line = papers co-authored together Danilo Avola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 201973
3 201969
4 202268
5 201866
6 201853
7 202149
8 201945
9 202143
10 201741
11 201836
12 202234
13 202234
14 201631
15 201830
16 202228
17 201628
18 202127
19 202027
20 201627

About Danilo Avola

Danilo Avola is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Aerospace Engineering and Cognitive Neuroscience, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (21 papers), Advanced Image and Video Retrieval Techniques (16 papers), Robotics and Sensor-Based Localization (13 papers), Human Pose and Action Recognition (12 papers), Interactive and Immersive Displays (9 papers), Advanced Neural Network Applications (8 papers), Hand Gesture Recognition Systems (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (810 citations), Human-Computer Interaction (199 citations), Media Technology (96 citations), Artificial Intelligence (367 citations) and Rehabilitation (56 citations). Danilo Avola has collaborated with scholars based in Italy, Germany and Palestinian Territory. Frequent co-authors include Luigi Cinque, Gian Luca Foresti, Daniele Pannone, Alessio Fagioli, Marco Raoul Marini, Claudio Piciarelli, Marco Cascio, Alessio Mecca, Niki Martinel and Emanuele Rodolà. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Neural Systems, Pattern Recognition Letters, Lecture notes in computer science and Integrated Computer-Aided Engineering.

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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