Rosa Senatore

431 total citations
15 papers, 162 citations indexed

About

Rosa Senatore is a scholar working on Cognitive Neuroscience, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rosa Senatore has authored 15 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Neurology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rosa Senatore's work include Handwritten Text Recognition Techniques (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Hand Gesture Recognition Systems (4 papers). Rosa Senatore is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Hand Gesture Recognition Systems (4 papers). Rosa Senatore collaborates with scholars based in Italy. Rosa Senatore's co-authors include Angelo Marcelli, Antonio Parziale, Antonio Della Cioppa, Claudio De Stefano, Hans-Leo Teulings, Rosa De Micco and Alessandro Tessitore and has published in prestigious journals such as Applied Sciences, Neural Computing and Applications and Human Movement Science.

In The Last Decade

Rosa Senatore

15 papers receiving 158 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Senatore Italy 8 56 50 48 38 30 15 162
Hamzeh Salameh Ahmad Shatnawi Saudi Arabia 9 18 0.3× 67 1.3× 86 1.8× 112 2.9× 21 0.7× 10 317
Maitane Barrenechea Spain 7 45 0.8× 62 1.2× 21 0.4× 17 0.4× 13 0.4× 23 262
Jiahang Xu China 5 15 0.3× 51 1.0× 82 1.7× 36 0.9× 15 0.5× 10 226
Pietro Leo Italy 7 55 1.0× 15 0.3× 71 1.5× 8 0.2× 114 3.8× 16 205
Asmaa Hammad Egypt 5 4 0.1× 26 0.5× 35 0.7× 155 4.1× 8 0.3× 8 274
Daria Hemmerling Poland 7 48 0.9× 13 0.3× 119 2.5× 10 0.3× 178 5.9× 27 276
Hamid Karimi-Rouzbahani Australia 9 9 0.2× 26 0.5× 26 0.5× 149 3.9× 27 0.9× 17 198
Uta Büchler Germany 5 9 0.2× 70 1.4× 44 0.9× 27 0.7× 2 0.1× 5 165
Arnaud Marcoux France 4 12 0.2× 22 0.4× 53 1.1× 43 1.1× 36 1.2× 4 171
Sangwu Lee United States 5 18 0.3× 120 2.4× 319 6.6× 12 0.3× 6 0.2× 7 434

Countries citing papers authored by Rosa Senatore

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Senatore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Senatore

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Senatore. A scholar is included among the top collaborators of Rosa Senatore 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 Rosa Senatore. Rosa Senatore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Senatore, Rosa, et al.. (2024). The onset of motor learning impairments in Parkinson’s disease: a computational investigation. Brain Informatics. 11(1). 4–4. 1 indexed citations
2.
Senatore, Rosa, et al.. (2023). A biologically inspired approach for recovering the trajectory of offline handwriting. Memetic Computing. 15(3). 355–375. 3 indexed citations
3.
Senatore, Rosa, Angelo Marcelli, Rosa De Micco, Alessandro Tessitore, & Hans-Leo Teulings. (2022). Distinctive Handwriting Signs in Early Parkinson’s Disease. Applied Sciences. 12(23). 12338–12338. 3 indexed citations
4.
Parziale, Antonio, Rosa Senatore, Antonio Della Cioppa, & Angelo Marcelli. (2020). Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artificial Intelligence in Medicine. 111. 101984–101984. 30 indexed citations
5.
Cioppa, Antonio Della, et al.. (2020). Parkinson’s Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. 1–6. 14 indexed citations
6.
Parziale, Antonio, Rosa Senatore, & Angelo Marcelli. (2020). Exploring speed–accuracy tradeoff in reaching movements: a neurocomputational model. Neural Computing and Applications. 32(17). 13377–13403. 7 indexed citations
7.
Senatore, Rosa, Antonio Della Cioppa, & Angelo Marcelli. (2019). Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. 312–317. 12 indexed citations
8.
Senatore, Rosa, Antonio Della Cioppa, & Angelo Marcelli. (2019). Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. Information. 10(1). 30–30. 18 indexed citations
9.
10.
Senatore, Rosa & Angelo Marcelli. (2017). Do handwriting difficulties of Parkinson's patients depend on their impaired ability to retain the motor plan? A pilot study. 139–142. 2 indexed citations
11.
Marcelli, Angelo, Antonio Parziale, & Rosa Senatore. (2013). Some Observations on Handwriting from a Motor Learning Perspective.. 1022. 6–10. 17 indexed citations
12.
Senatore, Rosa & Angelo Marcelli. (2013). Where are the characters? Characters Segmentation in Annotated Cursive Handwriting. 171–174. 5 indexed citations
13.
Senatore, Rosa & Angelo Marcelli. (2012). A Neural Scheme for Procedural Motor Learning of Handwriting. 659–664. 15 indexed citations
14.
Senatore, Rosa, et al.. (2011). From Motor to Trajectory Plan: A feedback loop between unfolding and segmentation to improve writing order recovery. 86–89. 1 indexed citations
15.
Stefano, Claudio De, Angelo Marcelli, Antonio Parziale, & Rosa Senatore. (2010). Reading Cursive Handwriting. 95–100. 12 indexed citations

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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2026