Alessandro L. Koerich
- Developmental Biology top 2%
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- Handwritten Text Recognition Techniques 27
- Music Technology and Sound Studies 19
- Face and Expression Recognition 15
- Image Retrieval and Classification Techniques 13
- Signal Processing top 1%
- Music and Audio Processing 28
- Speech and Audio Processing 20
- Media Technology top 1%
- Music top 2%
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- Natural Language Processing Techniques 15
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- Emotion and Mood Recognition 9
- Co-authors
- Luiz S. OliveiraRobert SabourinAlceu S. BrittoCarlos N. SillaCelso A. A. KaestnerChing Y. SuenPaulo Ricardo Lisboa de AlmeidaFabien Gouyon
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Expert Systems with Applications (6 papers)Pattern Recognition (3 papers)
- Partner nations
- BrazilCanadaUnited Kingdom
In The Last Decade
Alessandro L. Koerich
102 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Developmental Biology 133
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 623
- Media Technology 260
- Music 71
Countries citing papers authored by Alessandro L. Koerich
This map shows the geographic impact of Alessandro L. Koerich'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 Alessandro L. Koerich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro L. Koerich more than expected).
Fields of papers citing papers by Alessandro L. Koerich
This network shows the impact of papers produced by Alessandro L. Koerich. 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 Alessandro L. Koerich. The network helps show where Alessandro L. Koerich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alessandro L. Koerich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 70 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 25 | |
| 15 | 2013 | 25 | |
| 16 | People counting in crowded scenes using multiple cameras | 2012 | 5 |
| 17 | 2008 | 60 | |
| 18 | Modeling segmentation cuts using support vector machines | 2006 | 8 |
| 19 | Fusing High- and Low-Level Features for Handwritten Word Recognition | 2006 | 10 |
| 20 | 2003 | 117 |
About Alessandro L. Koerich
Alessandro L. Koerich is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Developmental Biology, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Music and Audio Processing (28 papers), Handwritten Text Recognition Techniques (27 papers), Speech and Audio Processing (20 papers), Music Technology and Sound Studies (19 papers), Face and Expression Recognition (15 papers), Natural Language Processing Techniques (15 papers), Image Retrieval and Classification Techniques (13 papers) and Emotion and Mood Recognition (9 papers). The work is most often cited by research in Developmental Biology (133 citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (623 citations). Alessandro L. Koerich has collaborated with scholars based in Brazil, Canada and United Kingdom. Frequent co-authors include Luiz S. Oliveira, Robert Sabourin, Alceu S. Britto, Carlos N. Silla, Celso A. A. Kaestner, Ching Y. Suen, Paulo Ricardo Lisboa de Almeida, Fabien Gouyon, Yandre M. G. Costa and Alceu de Souza Britto. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.
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.