Claudio Soriente

2.8k citations
60 papers · 1.5k · h-index 21

Impact in

Papers in

Claudio Soriente

56 papers receiving 1.4k citations

Peers

Claudio Soriente
Comparison fields: 5 of 72
  • Computer Networks and Communications 811
  • Signal Processing 359
  • Computer Science Applications 132
  • Information Systems 543
  • Artificial Intelligence 656
Replace Guozhu Meng with:
Guozhu Meng China
Harsha V. Madhyastha United States
Amir Houmansadr United States
Lidan Shou China
Sajjan G. Shiva United States
Abhinandan Das United States
Pavel Čeleda Czechia
Jiun‐Long Huang Taiwan
Xiaoyin Wang United States
Giovanni Russello New Zealand
Claudio Soriente relative to Guozhu Meng China Guozhu Meng's profile →
Citations per field
00.5×3.5×
Guozhu Meng · 1×
Citations per year

Countries citing papers authored by Claudio Soriente

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Soriente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 2009131
3 200888
4 201586
5 201275
6 200663
7 201458
8 200854
9 200953
10 201147
11 201347
12 200939
13 201337
14 200936
15 201035
16 200932
17 200932
18 201030
19 201628
20 201423

About Claudio Soriente

Claudio Soriente is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Sociology and Political Science, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (14 papers), Security in Wireless Sensor Networks (14 papers), Cryptography and Data Security (11 papers), User Authentication and Security Systems (11 papers), Advanced Malware Detection Techniques (11 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Privacy, Security, and Data Protection (8 papers). The work is most often cited by research in Computer Networks and Communications (811 citations), Signal Processing (359 citations), Computer Science Applications (132 citations), Information Systems (543 citations) and Artificial Intelligence (656 citations). Claudio Soriente has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Gene Tsudik, Emiliano De Cristofaro, Roberto Di Pietro, Srđjan Čapkun, Angelo Spognardi, Claudio Marforio, Patrick Valduriez, Marta Patiño-Martı́nez, Vincenzo Gulisano and Claude Castelluccia. Their work appears in journals such as International Journal of Security and Networks, IEEE Network, Journal of Systems and Software, IEEE Transactions on Information Forensics and Security and Ad Hoc Networks.

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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