Filippo Casamassima

14 papers receiving 444 citations

Peers

Filippo Casamassima
Comparison fields: 5 of 61
  • Biomedical Engineering 308
  • Cognitive Neuroscience 105
  • Physical Therapy, Sports Therapy and Rehabilitation 97
  • Human-Computer Interaction 64
  • Computer Vision and Pattern Recognition 63
Replace Ondřej Ťupa with:
Ondřej Ťupa Czechia
Michael Hardegger Switzerland
D.M. Sherrill United States
Fabien Massé Switzerland
Timothy Mastroianni United States
Ashley Johnson United States
Andrea Tigrini Italy
Md. Asraf Ali Malaysia
Matthew Pepper United Kingdom
Feiyun Xiao China
Filippo Casamassima relative to Ondřej Ťupa Czechia Ondřej Ťupa's profile →
Citations per field
00.5×2.8×
Ondřej Ťupa · 1×
Citations per year

Countries citing papers authored by Filippo Casamassima

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Casamassima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Casamassima

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Casamassima. A scholar is included among the top collaborators of Filippo Casamassima 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 Filippo Casamassima. Filippo Casamassima 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
#WorkIndexed citations
1 2
2 21
3 2
4 6
5 111
6 152
7 0
8 9
9 91
10 36
11 6
12 4
13 4
14 4
15 11

About Filippo Casamassima

Filippo Casamassima is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Instrumentation and Computer Networks and Communications, having authored 15 papers that have together received 459 indexed citations. Recurring topics across this work include Wireless Body Area Networks (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (97 citations), Human-Computer Interaction (64 citations) and Biomedical Engineering (308 citations). Filippo Casamassima has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Elisabetta Farella, Bojan Milosevic, Laura Rocchi, Alberto Ferrari, Luca Benini, Pieter Ginis, Schekeb Fateh, Simone Benatti, Philipp Schönle and Lorenzo Chiari. Their work appears in journals such as Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Transactions on Biomedical Circuits and Systems.

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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