Matteo Anedda

835 total citations
46 papers, 525 citations indexed

About

Matteo Anedda is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Matteo Anedda has authored 46 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Computer Networks and Communications. Recurrent topics in Matteo Anedda's work include Image and Video Quality Assessment (12 papers), Multimedia Communication and Technology (8 papers) and Caching and Content Delivery (7 papers). Matteo Anedda is often cited by papers focused on Image and Video Quality Assessment (12 papers), Multimedia Communication and Technology (8 papers) and Caching and Content Delivery (7 papers). Matteo Anedda collaborates with scholars based in Italy, Romania and Ireland. Matteo Anedda's co-authors include Maurizio Murroni, Daniele Giusto, Mauro Fadda, Vlad Popescu, Gabriel‐Miro Muntean, Roberto Girau, Francesco Carta, Giovanni Pau, Alessio Meloni and Pietro Ruiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Matteo Anedda

41 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Anedda Italy 15 244 201 118 59 56 46 525
Mauro Fadda Italy 17 425 1.7× 327 1.6× 75 0.6× 145 2.5× 12 0.2× 60 660
David Palma Norway 14 232 1.0× 523 2.6× 128 1.1× 19 0.3× 10 0.2× 46 815
Kamal Kumar Ghanshala India 9 122 0.5× 100 0.5× 128 1.1× 36 0.6× 10 0.2× 26 537
Maman Abdurohman Indonesia 11 103 0.4× 73 0.4× 82 0.7× 11 0.2× 27 0.5× 53 361
Youssef Fakhri Morocco 11 163 0.7× 194 1.0× 105 0.9× 44 0.7× 8 0.1× 94 469
Najla Al-Nabhan Saudi Arabia 14 60 0.2× 110 0.5× 133 1.1× 48 0.8× 12 0.2× 47 450
Sean McGrath Ireland 10 116 0.5× 112 0.6× 65 0.6× 23 0.4× 12 0.2× 53 377
João G. P. Rodrigues Portugal 9 92 0.4× 95 0.5× 50 0.4× 30 0.5× 12 0.2× 16 319
Ion Marghescu Romania 12 288 1.2× 263 1.3× 40 0.3× 18 0.3× 7 0.1× 70 522
Chunjiong Zhang China 12 64 0.3× 95 0.5× 67 0.6× 9 0.2× 25 0.4× 29 374

Countries citing papers authored by Matteo Anedda

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Anedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Anedda

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Anedda. A scholar is included among the top collaborators of Matteo Anedda 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 Matteo Anedda. Matteo Anedda 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
1.
Ruiu, Pietro, et al.. (2024). Uniss-FGD: A Novel Dataset of Human Gazes Over Images of Faces. IEEE Access. 12. 75951–75964.
2.
Ruiu, Pietro, Matteo Anedda, Andrea Lagorio, et al.. (2024). Edge-to-Cloud Continuum Orchestrator for Distributed Video Applications. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 1 indexed citations
3.
Fadda, Mauro, et al.. (2024). A Generative Adversarial Network (GAN) Fingerprint Approach Over LTE. IEEE Access. 12. 82083–82094. 1 indexed citations
4.
Murroni, Maurizio, Matteo Anedda, Mauro Fadda, et al.. (2023). 6G—Enabling the New Smart City: A Survey. Sensors. 23(17). 7528–7528. 39 indexed citations
5.
Carta, Francesco, et al.. (2023). Advancements in Forest Fire Prevention: A Comprehensive Survey. Sensors. 23(14). 6635–6635. 61 indexed citations
6.
Carta, Francesco, et al.. (2023). A Social IoT-Based Solution for Real-Time Forest Fire Detection. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 15–20. 2 indexed citations
7.
Floris, Alessandro, Simone Porcu, Luigi Atzori, et al.. (2023). Energy Saving Architecture based on Android TV in a Smart Home Environment. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–4.
8.
Anedda, Matteo, et al.. (2022). A Machine Learning-based Approach for Vehicular Tracking in Low Power Wide Area Networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6.
9.
Anedda, Matteo, et al.. (2021). Fingerprint-based Positioning Method over LTE Advanced Pro Signals with GAN training contribute. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–5. 4 indexed citations
10.
Anedda, Matteo, et al.. (2021). Smart Cities Mobility Monitoring through Automatic License Plate Recognition and Vehicle Discrimination. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 6 indexed citations
11.
Anedda, Matteo, et al.. (2020). Additive Logarithmic Weighting for Balancing Video Delivery Over Heterogeneous Networks. IEEE Transactions on Broadcasting. 67(1). 131–144. 10 indexed citations
12.
13.
Anedda, Matteo, et al.. (2018). Internet of Things for Enabling Multi Sensorial TV in Smart Home. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–5. 7 indexed citations
14.
Anedda, Matteo, et al.. (2018). QoE Assessment for IoT-Based Multi Sensorial Media Broadcasting. IEEE Transactions on Broadcasting. 64(2). 552–560. 42 indexed citations
15.
Anedda, Matteo, et al.. (2017). A 5G cellular technology for distributed monitoring and control in smart grid. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 39 indexed citations
16.
Anedda, Matteo, et al.. (2017). Load-shared redundant interface for LTE access network. UNICA IRIS Institutional Research Information System (University of Cagliari). 2. 1–5. 1 indexed citations
17.
Anedda, Matteo, A. Anedda, & Maurizio Murroni. (2015). Coverage optimization for DVB-T2 SFNs using ITU-R P.1546 and ITU-R P.1812. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–5. 5 indexed citations
18.
Anedda, Matteo, Pablo Angueira, Javier Morgade, & Maurizio Murroni. (2015). Heuristic performance evaluation for DVB-T/T2 SFN network. Telecommunication Systems. 63(1). 55–63. 5 indexed citations
19.
Anedda, Matteo, Alessio Meloni, & Maurizio Murroni. (2015). 64-APSK Constellation and Mapping Optimization for Satellite Broadcasting Using Genetic Algorithms. IEEE Transactions on Broadcasting. 62(1). 1–9. 28 indexed citations
20.
Anedda, Matteo, Javier Morgade, Maurizio Murroni, et al.. (2011). Heuristic optimization of DVB-T/H SFN coverage using PSO and SA algorithms. UNICA IRIS Institutional Research Information System (University of Cagliari). 44. 1–5. 10 indexed citations

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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