Dino Giuli

2.1k total citations
115 papers, 1.4k citations indexed

About

Dino Giuli is a scholar working on Atmospheric Science, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Dino Giuli has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 35 papers in Aerospace Engineering and 24 papers in Computer Networks and Communications. Recurrent topics in Dino Giuli's work include Precipitation Measurement and Analysis (30 papers), Radar Systems and Signal Processing (23 papers) and Soil Moisture and Remote Sensing (22 papers). Dino Giuli is often cited by papers focused on Precipitation Measurement and Analysis (30 papers), Radar Systems and Signal Processing (23 papers) and Soil Moisture and Remote Sensing (22 papers). Dino Giuli collaborates with scholars based in Italy, United States and Germany. Dino Giuli's co-authors include Federica Paganelli, Luca Facheris, Simone Tanelli, A. Freni, Monica Gherardelli, G. Biffi Gentili, Alberto Toccafondi, Stephen L. Durden, E. Im and Maria Chiara Pettenati and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Dino Giuli

104 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dino Giuli Italy 17 552 362 241 198 197 115 1.4k
David Llewellyn‐Jones United Kingdom 20 116 0.2× 549 1.5× 128 0.5× 274 1.4× 125 0.6× 120 1.4k
Giovanni Aloisio Italy 17 96 0.2× 76 0.2× 92 0.4× 443 2.2× 66 0.3× 172 1.2k
Alberto Guillén Spain 20 97 0.2× 221 0.6× 79 0.3× 25 0.1× 251 1.3× 66 1.6k
Rahul Ramachandran United States 17 36 0.1× 319 0.9× 82 0.3× 148 0.7× 423 2.1× 124 1.3k
Yongqing Wang China 16 223 0.4× 106 0.3× 41 0.2× 113 0.6× 305 1.5× 131 1.0k
V. Krishna Kumar United States 19 52 0.1× 173 0.5× 30 0.1× 416 2.1× 154 0.8× 57 1.1k
Haidong Zhong China 13 90 0.2× 115 0.3× 71 0.3× 45 0.2× 175 0.9× 57 785
Ramazan Aygün United States 14 38 0.1× 157 0.4× 42 0.2× 287 1.4× 201 1.0× 115 1.0k
Eric Hoffman France 17 424 0.8× 71 0.2× 36 0.1× 549 2.8× 262 1.3× 88 1.4k

Countries citing papers authored by Dino Giuli

Since Specialization
Citations

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

Fields of papers citing papers by Dino Giuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dino Giuli

This figure shows the co-authorship network connecting the top 25 collaborators of Dino Giuli. A scholar is included among the top collaborators of Dino Giuli 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 Dino Giuli. Dino Giuli 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.
Paganelli, Federica, et al.. (2014). Web-enabled processing of smart things resources for WoT applications. CINECA IRIS Institutial research information system (University of Pisa). 4. 1–6. 1 indexed citations
2.
Paganelli, Federica, et al.. (2012). Designing EPCIS through Linked Data and REST principles. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 11 indexed citations
3.
Iadanza, Ernesto, et al.. (2012). Telematics integrated system to perform drugs prescription and administration reducing adverse drug events. PubMed. 157. 6082–6085. 2 indexed citations
4.
Paganelli, Federica, et al.. (2011). GEMOM Middleware Self-healing and Fault-tolerance: a Highway Tolling Case Study. CINECA IRIS Institutial research information system (University of Pisa). 136–142. 1 indexed citations
5.
Paganelli, Federica & Dino Giuli. (2010). An Ontology-Based System for Context-Aware and Configurable Services to Support Home-Based Continuous Care. IEEE Transactions on Information Technology in Biomedicine. 15(2). 324–333. 75 indexed citations
6.
Pettenati, Maria Chiara, et al.. (2002). Design of a federation service for digital libraries: the case of historical archives in the PORTA EUROPA portal (PEP) pilot project. Florence Research (University of Florence). 157–162. 1 indexed citations
7.
Giuli, Dino, et al.. (2002). Improvement of a standard Doppler dealiasing technique for weather radars operating in heavy clutter environment. Florence Research (University of Florence). 1. 7–9. 1 indexed citations
8.
Pettenati, Maria Chiara, Dino Giuli, & Omar Abou Khaled. (2001). Information technology and staff development: issues and problems related to new skills and competence acquisition. Florence Research (University of Florence). 9(2). 153–169. 15 indexed citations
9.
Pettenati, Maria Chiara, et al.. (2000). The Learning Tutor: A Web based Authoring System to Support Distance Tutoring.. Educational Technology & Society. 3. 6 indexed citations
10.
Pettenati, Maria Chiara, et al.. (1999). Hypermedia Educational Information System for Faculty. World Conference on WWW and Internet. 1999(1). 871–876. 1 indexed citations
11.
Capolino, Filippo, et al.. (1998). EM models for evaluating rain perturbation on the NRCS of the sea surface observed near nadir. IEE Proceedings - Radar Sonar and Navigation. 145(4). 226–232. 6 indexed citations
12.
Capolino, Filippo, et al.. (1998). Rainfall profile retrieval through spaceborne rain radars utilising a sea surface NRCS model. IEE Proceedings - Radar Sonar and Navigation. 145(4). 233–239. 1 indexed citations
13.
Giuli, Dino, et al.. (1993). Analysis of radar reflectivity data obtained during a severe storm over Tuscany. Florence Research (University of Florence). 774–776.
14.
Scarchilli, G., et al.. (1991). Arno Project: radar system and objectives. Florence Research (University of Florence). 805–808. 8 indexed citations
15.
Giuli, Dino, Luca Facheris, Luca Baldini, & Monica Gherardelli. (1991). Multipolarisation radar receiver for target detection. Florence Research (University of Florence). 400–403.
16.
Giuli, Dino, Monica Gherardelli, A. Freni, T. A. Seliga, & K. Aydin. (1991). Rainfall and Clutter Discrimination by Means of Dual-linear Polarization Radar Measurements. Journal of Atmospheric and Oceanic Technology. 8(6). 777–789. 33 indexed citations
17.
Gherardelli, Monica, et al.. (1988). Suboptimum adaptive polarisation cancellers for dual-polarisation radars. IEE Proceedings F Communications, Radar and Signal Processing. 135(1). 60–72. 18 indexed citations
18.
Giuli, Dino, et al.. (1986). Using polarization discriminants for target classification and identification. Florence Research (University of Florence). 889–893.
19.
Giuli, Dino. (1986). Polarization diversity in radars. Proceedings of the IEEE. 74(2). 245–269. 294 indexed citations
20.
Mese, E. Dalle & Dino Giuli. (1984). Detection probability of a partially fluctuating target. IEE Proceedings F Communications, Radar and Signal Processing. 131(2). 179–182. 3 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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