Alessandro Floris

1.1k citations
61 papers · 766 · h-index 14

Impact in

Papers in

Alessandro Floris

53 papers receiving 736 citations

Peers

Alessandro Floris
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 283
  • Computer Networks and Communications 276
  • Human-Computer Interaction 45
  • Media Technology 63
  • Building and Construction 92
Replace Mukesh Saini with:
Mukesh Saini India
Zenon Chaczko Australia
Mohammed A. M. Sadeeq Iraq
Mohammad Hijji Saudi Arabia
Muhammad Asif Pakistan
Li‐Der Chou Taiwan
Anis Ur Rahman Pakistan
Feng Zhu United States
Mohammed Amine Togou Ireland
Alessandra De Paola Italy
Alessandro Floris relative to Mukesh Saini India Mukesh Saini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alessandro Floris

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Floris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 201470
3 202050
4 201547
5 201640
6 202139
7 201836
8 201634
9 201927
10 202226
11 201222
12 202222
13 202019
14 201714
15 201613
16 201312
17 201912
18 202012
19 201812
20 201710

About Alessandro Floris

Alessandro Floris is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and Signal Processing, having authored 61 papers that have together received 766 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (34 papers), Multimedia Communication and Technology (13 papers), Video Coding and Compression Technologies (7 papers), Green IT and Sustainability (7 papers), IoT and Edge/Fog Computing (6 papers), Network Traffic and Congestion Control (6 papers), Smart Grid Energy Management (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Computer Networks and Communications (276 citations), Human-Computer Interaction (45 citations), Media Technology (63 citations) and Building and Construction (92 citations). Alessandro Floris has collaborated with scholars based in Italy, Germany and Romania. Frequent co-authors include Luigi Atzori, Simone Porcu, Roberto Girau, Arslan Ahmad, Virginia Pilloni, Alessio Meloni, Michele Nitti, Daniele Giusto, Giovanni Pau and Mauro Fadda. Their work appears in journals such as Computer Networks, ACM Transactions on Multimedia Computing Communications and Applications, Sensors, IEEE Transactions on Smart Grid and International Journal of Energy Research.

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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