Pascal Ferraro A

46 papers receiving 379 citations

Peers

Pascal Ferraro A
Comparison fields: 5 of 59
  • Signal Processing 124
  • Computer Graphics and Computer-Aided Design 16
  • Plant Science 115
  • Environmental Engineering 27
  • Computer Vision and Pattern Recognition 44
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Countries citing papers authored by Pascal Ferraro A

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Ferraro A

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal Ferraro A. 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 Pascal Ferraro A. The network helps show where Pascal Ferraro A may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200049
2 201444
3 200528
4 200724
5 201823
6 200619
7 200918
8 202116
9
BLAST FOR AUDIO SEQUENCES ALIGNMENT: A FAST SCALABLE COVER IDENTIFICATION TOOL
201213
10
Adaption of String Matching Algorithms for Identification of Near-Duplicate Music Documents.
200712
11 200712
12 200912
13
EVAT: Environment for Visualization and Analysis of Trees
200311
14 200711
15
Improvements of Alignment Algorithms for Polyphonic Music Retrieval
200811
16 201211
17
Optimizations of Local Edition for Evaluating Similarity Between Monophonic Musical Sequences
200710
18 200710
19 20078
20 20106

About Pascal Ferraro A

Pascal Ferraro A is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Plant Science, Artificial Intelligence and Computational Theory and Mathematics, having authored 48 papers that have together received 401 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Greenhouse Technology and Climate Control (12 papers), Algorithms and Data Compression (10 papers), Graph Theory and Algorithms (9 papers), RNA and protein synthesis mechanisms (3 papers), Leaf Properties and Growth Measurement (3 papers), Complexity and Algorithms in Graphs (3 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Graphics and Computer-Aided Design (16 citations), Plant Science (115 citations), Environmental Engineering (27 citations) and Computer Vision and Pattern Recognition (44 citations). Pascal Ferraro A has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Christophe Godin, Pierre Hanna, Aïda Ouangraoua, Przemysław Prusinkiewicz, Mikolaj Cieslak, Eero Nikinmaa, Philippe Nacry, Frédéric Boudon, Jim Hanan and Laurent Tichit. Their work appears in journals such as Journal of Algorithms, Theoretical Computer Science, Fractals, Annals of Forest Science and Journal of New Music Research.

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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