Alberto Calatroni

5.5k total citations · 2 hit papers
109 papers, 4.1k citations indexed

About

Alberto Calatroni is a scholar working on Cell Biology, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Alberto Calatroni has authored 109 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cell Biology, 31 papers in Computer Vision and Pattern Recognition and 27 papers in Molecular Biology. Recurrent topics in Alberto Calatroni's work include Proteoglycans and glycosaminoglycans research (51 papers), Context-Aware Activity Recognition Systems (28 papers) and Glycosylation and Glycoproteins Research (11 papers). Alberto Calatroni is often cited by papers focused on Proteoglycans and glycosaminoglycans research (51 papers), Context-Aware Activity Recognition Systems (28 papers) and Glycosylation and Glycoproteins Research (11 papers). Alberto Calatroni collaborates with scholars based in Italy, Switzerland and United States. Alberto Calatroni's co-authors include Giuseppe M. Campo, Salvatore Campo, Angela Avenoso, Angela D’Ascola, Gerhard Tröster, Daniel Roggen, Ricardo Chavarriaga, José del R. Millán, Hesam Sagha and Giancarlo Nastasi and has published in prestigious journals such as Journal of Clinical Investigation, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Alberto Calatroni

109 papers receiving 4.0k citations

Hit Papers

Collecting complex activity datasets in highly rich netwo... 2010 2026 2015 2020 2010 2013 100 200 300 400 500

Peers

Alberto Calatroni
Comparison fields: 5 of 161
  • Computer Vision and Pattern Recognition 1.3k
  • Cell Biology 1.1k
  • Molecular Biology 767
  • Artificial Intelligence 584
  • Rheumatology 532
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Citations per field, relative to Alberto Calatroni
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Citations per year, relative to Alberto Calatroni
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Countries citing papers authored by Alberto Calatroni

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Calatroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Calatroni. 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 Alberto Calatroni. The network helps show where Alberto Calatroni may publish in the future.

Co-authorship network of co-authors of Alberto Calatroni

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Calatroni. A scholar is included among the top collaborators of Alberto Calatroni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto Calatroni. Alberto Calatroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 81
2 19
3 20
4 3
5 33
6 26
7 72
8 41
9
Automatic Transfer of Activity Recognition Capabilities between Body-Worn Motion Sensors: Training Newcomers to Recognize Locomotion
33
10 118
11
On the Issue of Variability in Labels and Sensor Configurations in Activity Recognition Systems
4
12
Recording a Complex, Multi Modal Activity Data Set for Context Recognition
20
13
Robust activity recognition for assistive technologies: Benchmarking machine learning techniques
3
14 21
15 13
16 18
17 5
18 39
19 15
20 17

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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