Maurizio Murroni

1.9k citations
116 papers · 1.3k indexed · h-index 22

Maurizio Murroni

107 papers receiving 1.3k citations

Peers

Maurizio Murroni
Comparison fields: 5 of 75
  • Computer Networks and Communications 636
  • Media Technology 224
  • Electrical and Electronic Engineering 841
  • Computer Vision and Pattern Recognition 202
  • Transportation 43
Replace Vinod Namboodiri with:
Vinod Namboodiri United States
Vlado Handziski Germany
Haeyoung Lee United Kingdom
Meryem Simsek Germany
Hatem Abou-Zeid Canada
Olga Galinina Finland
Faizan Qamar Malaysia
Jong‐Moon Chung South Korea
Xin Wei China
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Citations per field
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Citations per year

Countries citing papers authored by Maurizio Murroni

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Murroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 202339
5 20234
6 20210
7 20203
8 202010
9 202016
10 201928
11 20192
12 20187
13 201739
14 201712
15 20171
16 201522
17 20155
18
IEEE1900.6:動的スペクトルアクセスと他の先進的無線通信システム標準のためのスペクトル検出インタフェースとデータ構造:技術的方向と将来展望
20111
19 201017
20
Sensing techniques for Cognitive Radio - State of the art and trends
200931

About Maurizio Murroni

Maurizio Murroni is a scholar working on Media Technology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 116 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (28 papers), Telecommunications and Broadcasting Technologies (25 papers), Advanced Wireless Communication Techniques (16 papers), Satellite Communication Systems (15 papers), Image and Video Quality Assessment (15 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers), Advanced Wireless Communication Technologies (12 papers) and Advanced Data Compression Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (636 citations), Media Technology (224 citations) and Electrical and Electronic Engineering (841 citations). Maurizio Murroni has collaborated with scholars based in Italy, Romania and Spain. Frequent co-authors include Vlad Popescu, Mauro Fadda, Matteo Anedda, Luigi Atzori, Daniele Giusto, Pablo Angueira, Gabriel‐Miro Muntean, Javier Morgade, Giuseppe Araniti and Alessio Meloni. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Sensors.

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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