A.M. Colla

671 citations
25 papers · 491 · h-index 6

Impact in

Papers in

    • Speech Recognition and Synthesis 9
    • Neural Networks and Applications 6
    • Quantum Information and Cryptography 4
    • Music and Audio Processing 6
    • Speech and Audio Processing 6

A.M. Colla

18 papers receiving 445 citations

Peers

A.M. Colla
Comparison fields: 5 of 80
  • Artificial Intelligence 330
  • Acoustics and Ultrasonics 7
  • Computer Vision and Pattern Recognition 129
  • Signal Processing 62
  • Atomic and Molecular Physics, and Optics 108
Replace Namgil Lee with:
Namgil Lee South Korea
Xianhua Song China
Guangyu Zhang China
Weiguo Li China
Magdi A. Mohamed United States
Kejia Zhang China
Marcelino Lázaro Spain
G. Krishna India
Han Hai China
Faissal El Bouanani Morocco
A.M. Colla relative to Namgil Lee South Korea Namgil Lee's profile →
Citations per field
00.5×2×2.7×
Namgil Lee · 1×
Citations per year

Countries citing papers authored by A.M. Colla

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Colla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside A.M. Colla, 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 A.M. Colla Line = papers co-authored together A.M. Colla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994256
2 200364
3 200449
4 200133
5 199728
6 199918
7 19996
8 20025
9 19945
10 20055
11 19854
12 20053
13 20053
14 20042
15
Automatic analysis and indexing of variable-layout documents
20002
16 19892
17 19912
18 20051
19 20031
20 19881

About A.M. Colla

A.M. Colla is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 25 papers that have together received 491 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Neural Networks and Applications (6 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Image Retrieval and Classification Techniques (4 papers), Quantum Information and Cryptography (4 papers), Quantum Mechanics and Applications (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Acoustics and Ultrasonics (7 citations), Computer Vision and Pattern Recognition (129 citations), Signal Processing (62 citations) and Atomic and Molecular Physics, and Optics (108 citations). A.M. Colla has collaborated with scholars based in Italy and United States. Frequent co-authors include Roberto Battiti, Giuseppe Castagnoli, Fabio Antonio Bovino, Giovanni Di Giuseppe, Alexander V. Sergienko, Francesco Camastra, Ivo Pietro Degiovanni, Maria Luisa Rastello, Fabio Ancona and Stefania Castelletto. Their work appears in journals such as Physical Review A, Neural Processing Letters, Neural Networks, Speech Communication and International Journal on Document Analysis and Recognition (IJDAR).

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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