Marco Mobilio

23 papers receiving 675 citations

Hit Papers

UniMiB SHAR: A Dataset for Human Activity Recognition Usi...20172026202020232017100200300

Peers

Marco Mobilio
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 547
  • Biomedical Engineering 241
  • Computer Networks and Communications 228
  • Artificial Intelligence 189
  • Electrical and Electronic Engineering 89
Replace Javier Medina-Quero with:
Javier Medina-Quero Spain
Jakob Doppler Austria
Niall Twomey United Kingdom
Hamidreza Bayati Switzerland
Thomas Holleczek Switzerland
Marc Kurz Austria
Bessam Abdulrazak Canada
Mirco Rossi Switzerland
Barnan Das United States
E. Ramanujam India
Marco Mobilio relative to Javier Medina-Quero Spain Javier Medina-Quero's profile →
Citations per field
00.5×1.7×
Javier Medina-Quero · 1×
Citations per year

Countries citing papers authored by Marco Mobilio

Since Specialization
Citations

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

Fields of papers citing papers by Marco Mobilio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mobilio

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Mobilio. A scholar is included among the top collaborators of Marco Mobilio 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 Marco Mobilio. Marco Mobilio 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
#WorkIndexed citations
1 0
2 0
3 3
4 7
5 47
6 4
7 2
8 65
9 4
10 98
11 1
12 1
13 1
14 31
15 0
16 8
17 2
18
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphonesbreakdown →
346
19 38
20 1

About Marco Mobilio

Marco Mobilio is a scholar working on Software, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 687 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Software System Performance and Reliability (8 papers) and Software Testing and Debugging Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (547 citations), Computer Networks and Communications (228 citations) and Artificial Intelligence (189 citations). Marco Mobilio has collaborated with scholars based in Italy, Belgium and Denmark. Frequent co-authors include Daniela Micucci, Paolo Napoletano, Anna Ferrari, Francesco Tisato, Leonardo Mariani, Oliviero Riganelli, Diego Clerissi, Giovanni Denaro, Wouter Tavernier and Ezio Bartocci. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and Applied 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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