S. Impedovo

128 total papers · 1.8k total citations
73 papers, 1.1k citations indexed

About

S. Impedovo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, S. Impedovo has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in S. Impedovo's work include Handwritten Text Recognition Techniques (38 papers), Image Retrieval and Classification Techniques (11 papers) and Image Processing and 3D Reconstruction (10 papers). S. Impedovo is often cited by papers focused on Handwritten Text Recognition Techniques (38 papers), Image Retrieval and Classification Techniques (11 papers) and Image Processing and 3D Reconstruction (10 papers). S. Impedovo collaborates with scholars based in Italy, Mexico and Switzerland. S. Impedovo's co-authors include Giuseppe Pirlo, Giovanni Dimauro, A. Salzo, Horst Bunke, P S P Wang, A.C. Downton, Michele Battaglia, Pasquale Ditonno, Carlo Bettocchi and Giuseppe Grandaliano and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Computers and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

S. Impedovo

68 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Impedovo 739 386 214 178 88 73 1.1k
Graham Leedham 826 1.1× 189 0.5× 233 1.1× 177 1.0× 51 1.1k
S. Pavlopoulos 523 0.7× 199 0.5× 46 0.2× 74 0.4× 69 1.3k
Soumya Ray 376 0.5× 811 2.1× 57 0.3× 140 0.8× 65 1.4k
Amit Pande 465 0.6× 169 0.4× 32 0.1× 178 1.0× 71 914
Zhe Xue 417 0.6× 435 1.1× 94 0.4× 86 0.5× 88 935
Muhammad Nazir 449 0.6× 360 0.9× 65 0.3× 84 0.5× 52 990
Wei Ju 198 0.3× 565 1.5× 8 0.0× 194 1.1× 13 0.1× 76 967
Shengxi Li 534 0.7× 129 0.3× 77 0.4× 20 0.1× 64 932
Edoardo Ardizzone 755 1.0× 141 0.4× 182 0.9× 29 0.2× 98 986
Salah Ud Din 221 0.3× 477 1.2× 72 0.3× 78 0.4× 27 983

Countries citing papers authored by S. Impedovo

Since Specialization
Citations

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

Fields of papers citing papers by S. Impedovo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Impedovo

This figure shows the co-authorship network connecting the top 25 collaborators of S. Impedovo. A scholar is included among the top collaborators of S. Impedovo 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 S. Impedovo. S. Impedovo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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