Concetto Spampinato

6.8k citations
183 papers · 3.9k indexed · 3 hit papers · h-index 34

Concetto Spampinato

168 papers receiving 3.8k citations

Hit Papers

KVASIR3812016202620192022100200300

Peers

Concetto Spampinato
Comparison fields: 5 of 177
  • Health Informatics 127
  • Computer Vision and Pattern Recognition 1.4k
  • Oral Surgery 446
  • Orthodontics 167
  • Neurology 297
Replace Daniela Giordano with:
Daniela Giordano Italy
Sim Heng Ong Singapore
Shaoyi Du China
Ruofeng Tong China
Priya Goyal India
Junmo Kim South Korea
Shaoting Zhang United States
George K. Matsopoulos Greece
Hanzi Mao United States
Concetto Spampinato relative to Daniela Giordano Italy Daniela Giordano's profile →
Citations per field
00.5×3.0×
Daniela Giordano · 1×
Citations per year

Countries citing papers authored by Concetto Spampinato

Since Specialization
Citations

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

Fields of papers citing papers by Concetto Spampinato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20244
5 20233
6 20236
7 20213
8 20208
9
A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection.
20174
10 201640
11
Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation
20151
12
PeRCeiVe Lab@UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering
20145
13
Overview of the LifeCLEF 2014 Fish Task
20141
14 201342
15 201362
16
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
20121
17
A feature model configuration for multimedia applications by an OWL-based approach
20120
18
Context aware services for mobile users: JQMobile vs Flash Builder implementations
20121
19
A flexible system for automated composition of intelligent video analysis
201110
20 2008172

About Concetto Spampinato

Concetto Spampinato is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Human-Computer Interaction, having authored 183 papers that have together received 3.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (18 papers), Water Quality Monitoring Technologies (15 papers), Image Retrieval and Classification Techniques (14 papers), Dental Radiography and Imaging (13 papers), Visual Attention and Saliency Detection (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Video Analysis and Summarization (9 papers). The work is most often cited by research in Health Informatics (127 citations), Computer Vision and Pattern Recognition (1.4k citations) and Oral Surgery (446 citations). Concetto Spampinato has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Daniela Giordano, Simone Palazzo, Mubarak Shah, Rosalia Leonardi, Nasim Souly, Robert B. Fisher, Isaak Kavasidis, Alberto Faro, Gayathri Devi Nadarajan and Yun-Heh Chen-Burger. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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