Federico Pedersini

73 total papers · 785 total citations
48 papers, 551 citations indexed

About

Federico Pedersini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Federico Pedersini has authored 48 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 11 papers in Geology. Recurrent topics in Federico Pedersini's work include Advanced Vision and Imaging (23 papers), Optical measurement and interference techniques (16 papers) and 3D Surveying and Cultural Heritage (11 papers). Federico Pedersini is often cited by papers focused on Advanced Vision and Imaging (23 papers), Optical measurement and interference techniques (16 papers) and 3D Surveying and Cultural Heritage (11 papers). Federico Pedersini collaborates with scholars based in Italy, Germany and Canada. Federico Pedersini's co-authors include N. Alberto Borghese, Iuri Frosio, Stefano Tubaro, Augusto Sarti, Giuliano Grossi, Paolo Tirelli, R. Oberti, Sabrina Gaito, Pietro Paglierani and Alessandro Petrini and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Signal Processing Magazine.

In The Last Decade

Federico Pedersini

41 papers receiving 513 citations

Author Peers

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

Author Last Decade Papers Cites
Federico Pedersini 216 195 124 65 64 48 551
Tao Chen 118 0.5× 110 0.6× 68 0.5× 48 0.7× 68 1.1× 74 468
Young‐Ho Choi 297 1.4× 239 1.2× 200 1.6× 50 0.8× 53 0.8× 75 596
Maani Ghaffari 261 1.2× 306 1.6× 60 0.5× 52 0.8× 40 0.6× 54 605
Guang Yang 217 1.0× 90 0.5× 92 0.7× 32 0.5× 57 0.9× 41 513
Hang Guo 91 0.4× 280 1.4× 325 2.6× 61 0.9× 25 0.4× 44 528
Ling Chen 210 1.0× 175 0.9× 143 1.2× 51 0.8× 46 0.7× 62 608
Ákos Odry 91 0.4× 214 1.1× 203 1.6× 40 0.6× 59 0.9× 71 548
Yu Jiang 111 0.5× 86 0.4× 186 1.5× 82 1.3× 31 0.5× 56 563
Yilong Zhu 207 1.0× 281 1.4× 96 0.8× 53 0.8× 44 0.7× 34 586
Arcangelo Distante 227 1.1× 100 0.5× 77 0.6× 45 0.7× 117 1.8× 42 473

Countries citing papers authored by Federico Pedersini

Since Specialization
Citations

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

Fields of papers citing papers by Federico Pedersini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Pedersini

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Pedersini. A scholar is included among the top collaborators of Federico Pedersini 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 Federico Pedersini. Federico Pedersini 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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