Juri Ranieri

1.2k total citations · 1 hit paper
18 papers, 729 citations indexed

About

Juri Ranieri is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Juri Ranieri has authored 18 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Juri Ranieri's work include Sparse and Compressive Sensing Techniques (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Juri Ranieri is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Juri Ranieri collaborates with scholars based in Switzerland, United States and Italy. Juri Ranieri's co-authors include Martin Vetterli, Ivan Dokmanić, Reza Parhizkar, Amina Chebira, Yue M. Lu, Alessandro Vincenzi, David Atienza, Riccardo Rovatti, Gianluca Setti and Robin Scheibler and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Wireless Communications.

In The Last Decade

Juri Ranieri

18 papers receiving 709 citations

Hit Papers

Euclidean Distance Matrices: Essential theory, algorithms... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juri Ranieri Switzerland 11 255 188 146 141 112 18 729
Kaare Brandt Petersen Denmark 9 225 0.9× 309 1.6× 152 1.0× 136 1.0× 193 1.7× 16 1.0k
Minh N. Dao Australia 18 206 0.8× 144 0.8× 109 0.7× 156 1.1× 232 2.1× 62 913
James R. Hopgood United Kingdom 16 144 0.6× 184 1.0× 122 0.8× 135 1.0× 149 1.3× 91 784
Dimitris Tzikas Greece 6 195 0.8× 302 1.6× 99 0.7× 210 1.5× 162 1.4× 9 868
Daniel Romero Norway 12 248 1.0× 205 1.1× 185 1.3× 230 1.6× 91 0.8× 57 745
Reza Parhizkar Switzerland 8 264 1.0× 117 0.6× 44 0.3× 126 0.9× 119 1.1× 13 674
Jacob H. Gunther United States 14 510 2.0× 103 0.5× 113 0.8× 114 0.8× 52 0.5× 138 881
Roberto Cusani Italy 18 485 1.9× 157 0.8× 269 1.8× 80 0.6× 104 0.9× 139 912
Yu Yao China 15 294 1.2× 134 0.7× 147 1.0× 70 0.5× 59 0.5× 64 845
Dan Li China 15 379 1.5× 320 1.7× 212 1.5× 59 0.4× 58 0.5× 106 1.0k

Countries citing papers authored by Juri Ranieri

Since Specialization
Citations

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

Fields of papers citing papers by Juri Ranieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juri Ranieri

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

All Works

18 of 18 papers shown
1.
Ranieri, Juri, et al.. (2019). Super Resolution Phase Retrieval for Sparse Signals. IEEE Transactions on Signal Processing. 67(18). 4839–4854. 10 indexed citations
2.
Ranieri, Juri, et al.. (2016). Optimal sensor architecture selection for health management of complex systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 1 indexed citations
3.
Ranieri, Juri, Alessandro Vincenzi, Amina Chebira, David Atienza, & Martin Vetterli. (2015). Near-Optimal Thermal Monitoring Framework for Many-Core Systems-on-Chip. IEEE Transactions on Computers. 64(11). 3197–3209. 16 indexed citations
4.
Ranieri, Juri, et al.. (2015). DASS: Distributed Adaptive Sparse Sensing. IEEE Transactions on Wireless Communications. 14(5). 2571–2583. 17 indexed citations
5.
Dokmanić, Ivan, Reza Parhizkar, Juri Ranieri, & Martin Vetterli. (2015). Euclidean Distance Matrices: Essential theory, algorithms, and applications. IEEE Signal Processing Magazine. 32(6). 12–30. 371 indexed citations breakdown →
6.
Dokmanić, Ivan, Juri Ranieri, & Martin Vetterli. (2015). Relax and unfold: Microphone localization with Euclidean distance matrices. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 265–269. 10 indexed citations
7.
Ranieri, Juri, Amina Chebira, & Martin Vetterli. (2014). Near-Optimal Sensor Placement for Linear Inverse Problems. IEEE Transactions on Signal Processing. 62(5). 1135–1146. 162 indexed citations
8.
Badawy, Dalia El, Juri Ranieri, & Martin Vetterli. (2014). Near-Optimal Sensor Placement For Signals Lying In A Union Of Subspaces. Zenodo (CERN European Organization for Nuclear Research). 880–884. 4 indexed citations
9.
Ranieri, Juri & Martin Vetterli. (2014). Near-optimal source placement for linear physical fields. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 9. 6825–6829. 2 indexed citations
10.
Ranieri, Juri, Amina Chebira, Yue M. Lu, & Martin Vetterli. (2013). Phase Retrieval for Sparse Signals: Uniqueness Conditions. IEEE Transactions on Information Theory. 3 indexed citations
11.
Ranieri, Juri & Martin Vetterli. (2013). Sampling and reconstructing diffusion fields in presence of aliasing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5474–5478. 7 indexed citations
12.
Dokmanić, Ivan, et al.. (2013). The Fukushima inverse problem. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4330–4334. 13 indexed citations
13.
Ranieri, Juri, Amina Chebira, & Martin Vetterli. (2013). Near-Optimal Sensor Placement for Inverse Problems. 1 indexed citations
14.
Ranieri, Juri, Alessandro Vincenzi, Amina Chebira, David Atienza, & Martin Vetterli. (2012). EigenMaps. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 636–641. 37 indexed citations
15.
Ranieri, Juri, Ivan Dokmanić, Amina Chebira, & Martin Vetterli. (2012). Sampling and reconstruction of time-varying atmospheric emissions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3673–3676. 11 indexed citations
16.
Dokmanić, Ivan, Juri Ranieri, Amina Chebira, & Martin Vetterli. (2011). Sensor networks for diffusion fields: Detection of sources in space and time. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1552–1558. 15 indexed citations
17.
Ranieri, Juri, Amina Chebira, Yue M. Lu, & Martin Vetterli. (2011). Sampling and reconstructing diffusion fields with localized sources. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4016–4019. 34 indexed citations
18.
Ranieri, Juri, Riccardo Rovatti, & Gianluca Setti. (2010). Compressive sensing of localized signals: Application to Analog-to-Information conversion. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3513–3516. 15 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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