A.M. Colla

667 citations
20 papers · 437 · h-index 7

Impact in

Papers in

A.M. Colla

16 papers receiving 400 citations

Peers

A.M. Colla
Comparison fields: 5 of 76
  • Artificial Intelligence 296
  • Acoustics and Ultrasonics 7
  • Computer Vision and Pattern Recognition 106
  • Signal Processing 52
  • Atomic and Molecular Physics, and Optics 116
Replace Predrag Neskovic with:
Predrag Neskovic United States
Nathanael A. Heckert Egypt
Peng Bao China
Han Hai China
Magdi A. Mohamed United States
Medien Zeghid Tunisia
Guangyu Zhang China
Marcelino Lázaro Spain
Kejia Zhang China
Dongxia Chang China
A.M. Colla relative to Predrag Neskovic United States Predrag Neskovic's profile →
Citations per field
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Predrag Neskovic · 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
#Work
1 1994216
2 200362
3 200448
4 199726
5 200126
6 199917
7 200512
8 20055
9 19945
10 20024
11 19994
12 20053
13
Automatic analysis and indexing of variable-layout documents
20002
14 19892
15 20052
16 20031
17 20051
18 20041
19 20030
20 20020

About A.M. Colla

A.M. Colla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Signal Processing and Electrical and Electronic Engineering, having authored 20 papers that have together received 437 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers), Quantum Mechanics and Applications (5 papers), Quantum Information and Cryptography (5 papers), Neural Networks and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Music and Audio Processing (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Acoustics and Ultrasonics (7 citations), Computer Vision and Pattern Recognition (106 citations), Signal Processing (52 citations) and Atomic and Molecular Physics, and Optics (116 citations). A.M. Colla has collaborated with scholars based in Italy and United States. Frequent co-authors include Roberto Battiti, Fabio Antonio Bovino, Giuseppe Castagnoli, Alexander V. Sergienko, Giovanni Di Giuseppe, Ivo Pietro Degiovanni, Maria Luisa Rastello, Stefania Castelletto, Francesco Camastra and Ivano Ruo Berchera. Their work appears in journals such as Physical Review A, International Journal on Document Analysis and Recognition (IJDAR), Optics Communications, Electronics Letters and Neural Networks.

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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