Alessio Mecca

596 citations
17 papers · 353 indexed · h-index 9
Topics
Gait Recognition and Analysis (8 papers)Video Surveillance and Tracking Methods (7 papers)Hand Gesture Recognition Systems (4 papers)
Partner nations
ItalyJapan

In The Last Decade

Alessio Mecca

17 papers receiving 347 citations

Peers

Alessio Mecca
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 204
  • Biomedical Engineering 118
  • Artificial Intelligence 100
  • Aerospace Engineering 70
  • Human-Computer Interaction 39
Replace Sungjun Hong with:
Sungjun Hong South Korea
Jiandan Zhong China
Weijian Xu China
Adnan Ahmed Rafique Pakistan
Guile Wu United Kingdom
Nima Razavi Switzerland
Alain Crouzil France
Ser Nam Lim United States
Mohammadreza Babaee Germany
Yunqi Lei China
Alessio Mecca relative to Sungjun Hong South Korea Sungjun Hong's profile →
Citations per field
00.5×7.6×
Sungjun Hong · 1×
Citations per year

Countries citing papers authored by Alessio Mecca

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Mecca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Mecca

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 4
5 22
6 59
7 71
8 23
9 38
10 76
11 12
12 4
13 4
14 4
15 16
16 1
17 12

About Alessio Mecca

Alessio Mecca is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (8 papers), Video Surveillance and Tracking Methods (7 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Human-Computer Interaction (39 citations) and Artificial Intelligence (100 citations). Alessio Mecca has collaborated with scholars based in Italy and Japan. Frequent co-authors include Maria De Marsico, Danilo Avola, Luigi Cinque, Gian Luca Foresti, Alessio Fagioli, Daniele Pannone, Marco Raoul Marini, Claudio Piciarelli, Fabio Galasso and Daniele De Pasquale. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.

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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