G.P. Saggese

626 citations
15 papers · 344 · h-index 9

Impact in

    • VLSI and Analog Circuit Testing
    • Parallel Computing and Optimization Techniques
  • Software top 10%
    • Software Reliability and Analysis Research

Papers in

G.P. Saggese

13 papers receiving 329 citations

Peers

G.P. Saggese
Comparison fields: 5 of 19
  • Hardware and Architecture 168
  • Software 52
  • Computer Networks and Communications 108
  • Artificial Intelligence 132
  • Information Systems 92
Replace Volkmar Sieh with:
Volkmar Sieh Germany
Jeroen Ketema United Kingdom
Chiyoung Seo United States
J.T. Rahmeh United States
Lisa Spainhower United States
Vinh Lam United States
Renaud Pacalet France
Albert Meixner United States
Clifford Liem Canada
Sylvain Girbal France
G.P. Saggese relative to Volkmar Sieh Germany Volkmar Sieh's profile →
Citations per field
00.5×4.3×
Volkmar Sieh · 1×
Citations per year

Countries citing papers authored by G.P. Saggese

Since Specialization
Citations

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

Fields of papers citing papers by G.P. Saggese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.P. Saggese. 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 G.P. Saggese. The network helps show where G.P. Saggese may publish in the future.

Co-authors

The 16 scholars most cited alongside G.P. Saggese, 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 G.P. Saggese Line = papers co-authored together G.P. Saggese links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005118
2 200651
3 200427
4 200526
5 200425
6 201025
7 200323
8 200320
9 200415
10 20047
11 20044
12 20022
13 20041
14
Providing Interoperable Time Stamping Services
20030
15 20030

About G.P. Saggese

G.P. Saggese is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (6 papers), Cryptographic Implementations and Security (6 papers), Radiation Effects in Electronics (4 papers), Coding theory and cryptography (4 papers), VLSI and Analog Circuit Testing (3 papers), Cryptography and Data Security (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Hardware and Architecture (168 citations), Software (52 citations), Computer Networks and Communications (108 citations), Artificial Intelligence (132 citations) and Information Systems (92 citations). G.P. Saggese has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Zbigniew Kalbarczyk, Ravishankar K. Iyer, Luigi Romano, Antonino Mazzeo, Nachuan Wang, S.J. Patel, Alessandro Cilardo, Karthik Pattabiraman, Nicola Mazzocca and Ettore Napoli. Their work appears in journals such as IEEE Micro, Journal of Systems Architecture, IEEE Transactions on Dependable and Secure Computing, Microprocessors and Microsystems and Design, Automation, and Test in Europe.

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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