Daniel Cesarini

26 papers receiving 320 citations

Peers

Daniel Cesarini
Comparison fields: 5 of 78
  • Human-Computer Interaction 32
  • Computer Vision and Pattern Recognition 118
  • Demography 41
  • Computer Networks and Communications 80
  • Rehabilitation 16
Replace Rim Helaoui with:
Rim Helaoui Italy
Claudia Villalonga Spain
Jesús Fontecha Spain
Sebastian Mellor United Kingdom
Atif Waraich United Kingdom
Hamidreza Memarzadeh‐Tehran Iran
Thomas Holleczek Switzerland
Eliasz Kańtoch Poland
Christian Fischer Pedersen Denmark
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Countries citing papers authored by Daniel Cesarini

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cesarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Cesarini, 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 Daniel Cesarini Line = papers co-authored together Daniel Cesarini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016183
2 201324
3 201619
4 201312
5
A REAL-TIME AUDITORY BIOFEEDBACK SYSTEM FOR SPORTS SWIMMING
201410
6 20169
7 20138
8 20127
9
A Smartphone Based Sonification And Telemetry Platform For On-Water Rowing Training
20137
10 20146
11 20235
12 20145
13 20155
14 20145
15 20145
16 20133
17 20133
18
Exploiting a Touchless Interaction to Drive a Wireless Mobile Robot Powered by a Real-time Operating System.
20162
19 20172
20
Ears drive hands. Sonification of liquid effects induced by aquatic space activities contributes to cognitive representation
20152

About Daniel Cesarini

Daniel Cesarini is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Biomedical Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 26 papers that have together received 330 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (6 papers), Energy Harvesting in Wireless Networks (6 papers), Context-Aware Activity Recognition Systems (5 papers), Music Technology and Sound Studies (5 papers), Energy Efficient Wireless Sensor Networks (3 papers), Bluetooth and Wireless Communication Technologies (3 papers), Green IT and Sustainability (2 papers) and Innovative Energy Harvesting Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Computer Vision and Pattern Recognition (118 citations), Demography (41 citations), Computer Networks and Communications (80 citations) and Rehabilitation (16 citations). Daniel Cesarini has collaborated with scholars based in Italy, Germany and Croatia. Frequent co-authors include Mauro Marinoni, Davide Calvaresi, Paolo Sernani, Aldo Franco Dragoni, Arnon Sturm, Marco Avvenuti, Thomas Hermann, Mario G. C. A. Cimino, Stefano Abbate and Vedran Bilas. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Industrial Informatics, Electronics Letters, Journal of Ambient Intelligence and Humanized Computing and International Journal of Molecular Sciences.

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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