Diego Gragnaniello

2.3k total citations
41 papers, 1.4k citations indexed

About

Diego Gragnaniello is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Diego Gragnaniello has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Media Technology. Recurrent topics in Diego Gragnaniello's work include Digital Media Forensic Detection (12 papers), Biometric Identification and Security (10 papers) and Fire Detection and Safety Systems (6 papers). Diego Gragnaniello is often cited by papers focused on Digital Media Forensic Detection (12 papers), Biometric Identification and Security (10 papers) and Fire Detection and Safety Systems (6 papers). Diego Gragnaniello collaborates with scholars based in Italy, Belgium and United States. Diego Gragnaniello's co-authors include Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, Francesco Marra, Davide Cozzolino, Maria Frucci, Nadia Brancati, Daniel Riccio, Antonio Greco and Giuseppe Scarpa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Diego Gragnaniello

40 papers receiving 1.3k citations

Peers

Diego Gragnaniello
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 974
  • Signal Processing 547
  • Artificial Intelligence 200
  • Information Systems 196
  • Safety Research 185
Replace Zeno Geradts with:
Zeno Geradts Netherlands
Sudeep D. Thepade India
Matteo Ferrara Italy
Yingbo Zhou United States
Luuk Spreeuwers Netherlands
Yihua Shi China
Wael AbdAlmageed United States
Krešimir Delač Croatia
David Güera United States
Fouad Khelifi United Kingdom
Zeno Geradts Netherlands View profile →
Citations per field, relative to Diego Gragnaniello
Diego Gragnaniello · 1×
Citations per year, relative to Diego Gragnaniello
Diego Gragnaniello · 1×

Countries citing papers authored by Diego Gragnaniello

Since Specialization
Citations

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

Fields of papers citing papers by Diego Gragnaniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Gragnaniello

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Gragnaniello. A scholar is included among the top collaborators of Diego Gragnaniello 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 Diego Gragnaniello. Diego Gragnaniello 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
# Work Indexed citations
1 0
2 1
3 4
4 1
5 2
6 19
7 15
8 5
9 4
10 5
11 29
12 225
13 19
14 6
15 19
16 64
17 1
18 21
19 13
20 83

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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