Angelo Marcelli
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 5%
Papers in
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- Handwritten Text Recognition Techniques 53
- Image Retrieval and Classification Techniques 22
- Advanced Image and Video Retrieval Techniques 18
- Image Processing and 3D Reconstruction 18
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- Evolutionary Algorithms and Applications 23
- Metaheuristic Optimization Algorithms Research 19
- Natural Language Processing Techniques 15
- Co-authors
- Claudio De Stefano (43 shared papers)Antonio Della Cioppa (27 shared papers)Antonio Parziale (35 shared papers)Rosa Senatore (16 shared papers)L.P. Cordella (12 shared papers)Giuseppe Boccignone (14 shared papers)Miguel A. Ferrer (9 shared papers)A. Chianese (2 shared papers)
- Journals
- Pattern Recognition Letters (4 papers)Lecture notes in computer science (28 papers)Pattern Recognition (3 papers)IEEE Transactions on Evolutionary Computation (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Angelo Marcelli
126 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 579
- Human-Computer Interaction 101
- Artificial Intelligence 482
- Media Technology 85
- Neurology 94
Countries citing papers authored by Angelo Marcelli
This map shows the geographic impact of Angelo Marcelli'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 Angelo Marcelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Marcelli more than expected).
Fields of papers citing papers by Angelo Marcelli
This network shows the impact of papers produced by Angelo Marcelli. 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 Angelo Marcelli. The network helps show where Angelo Marcelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Marcelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 93 | |
| 2 | 1993 | 85 | |
| 3 | 2004 | 69 | |
| 4 | 2022 | 49 | |
| 5 | 2018 | 45 | |
| 6 | 2015 | 44 | |
| 7 | 2020 | 44 | |
| 8 | 2008 | 35 | |
| 9 | 2018 | 28 | |
| 10 | 2015 | 23 | |
| 11 | 2004 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 20 | |
| 16 | Some Observations on Handwriting from a Motor Learning Perspective. | 2013 | 20 |
| 17 | 2017 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2002 | 18 | |
| 20 | 2003 | 17 |
About Angelo Marcelli
Angelo Marcelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Cognitive Neuroscience and Neurology, having authored 134 papers that have together received 1.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (53 papers), Evolutionary Algorithms and Applications (23 papers), Image Retrieval and Classification Techniques (22 papers), Metaheuristic Optimization Algorithms Research (19 papers), Advanced Image and Video Retrieval Techniques (18 papers), Image Processing and 3D Reconstruction (18 papers), Hand Gesture Recognition Systems (16 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (579 citations), Human-Computer Interaction (101 citations), Artificial Intelligence (482 citations), Media Technology (85 citations) and Neurology (94 citations). Angelo Marcelli has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Claudio De Stefano, Antonio Della Cioppa, Antonio Parziale, Rosa Senatore, L.P. Cordella, Giuseppe Boccignone, Miguel A. Ferrer, A. Chianese, Moises Díaz and Francesco Fontanella. Their work appears in journals such as Pattern Recognition Letters, Lecture notes in computer science, Pattern Recognition, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.
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.