Nicola Adami

984 total citations
52 papers, 656 citations indexed

About

Nicola Adami is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Nicola Adami has authored 52 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Nicola Adami's work include Video Analysis and Summarization (18 papers), Image Enhancement Techniques (14 papers) and Advanced Data Compression Techniques (11 papers). Nicola Adami is often cited by papers focused on Video Analysis and Summarization (18 papers), Image Enhancement Techniques (14 papers) and Advanced Data Compression Techniques (11 papers). Nicola Adami collaborates with scholars based in Italy, Japan and United States. Nicola Adami's co-authors include Riccardo Leonardi, Masahiro Okuda, Sergio Benini, Alberto Signoroni, Pierangelo Migliorati, Mattia Savardi, Roberto Maroldi, Andrea Borghesi, Davide Farina and Marco Ravanelli and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Medical Image Analysis and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Nicola Adami

48 papers receiving 620 citations

Peers

Nicola Adami
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 455
  • Signal Processing 119
  • Radiology, Nuclear Medicine and Imaging 101
  • Artificial Intelligence 99
  • Human-Computer Interaction 62
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Citations per field, relative to Nicola Adami
Nicola Adami · 1×
Citations per year, relative to Nicola Adami
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Countries citing papers authored by Nicola Adami

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Adami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Adami

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Adami. A scholar is included among the top collaborators of Nicola Adami 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 Nicola Adami. Nicola Adami 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 3
2 0
3 0
4 70
5 92
6 6
7 15
8
Improved face tracking thanks to local features correspondence
1
9 41
10 1
11
High dynamic range image compression using base map coding
5
12 17
13 12
14
An optimal video-surveillance approach for HDR videos tone mapping
3
15 43
16 5
17 5
18 2
19
The ToCAI description scheme for indexing and retrieval of multimedia documents
3
20
A biologically-inspired visual homing method for robots
4

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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