G.C. Cardarilli

3.1k citations
187 papers · 1.8k · 1 hit paper · h-index 21

Impact in

Papers in

G.C. Cardarilli

170 papers receiving 1.7k citations

G.C. Cardarilli's Hit Papers

Multi-Agent Reinforcement Learning: A Review of Challenges and Applications 2021 · 198 citations
1980+1+3Years since publication50100150

Peers

G.C. Cardarilli
Comparison fields: 5 of 107
  • Hardware and Architecture 332
  • Artificial Intelligence 535
  • Electrical and Electronic Engineering 886
  • Computational Theory and Mathematics 242
  • Information Systems 337
Replace M. Re with:
M. Re Italy
Ulrich Rückert Germany
Majid Ahmadi Canada
Mikel Luján United Kingdom
Weng‐Fai Wong Singapore
Susmita Sur‐Kolay India
Fayez Gebali Canada
Ray C. C. Cheung Hong Kong
Xin Li United States
Krishna V. Palem United States
G.C. Cardarilli relative to M. Re Italy M. Re's profile →
Citations per field
00.5×1.5×
M. Re · 1×
Citations per year

Countries citing papers authored by G.C. Cardarilli

Since Specialization
Citations

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

Fields of papers citing papers by G.C. Cardarilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-Agent Reinforcement Learning: A Review of Challenges and Applications
Hit paper breakdown →
2021198
2 201975
3 200774
4 200765
5 202163
6 202054
7 200748
8 200741
9 201238
10 200338
11 200236
12 200532
13 201731
14 200228
15 201924
16 200824
17 201924
18 201922
19 199822
20 200720

About G.C. Cardarilli

G.C. Cardarilli is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 187 papers that have together received 1.8k indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (41 papers), Cryptography and Residue Arithmetic (37 papers), Low-power high-performance VLSI design (31 papers), Parallel Computing and Optimization Techniques (28 papers), Radiation Effects in Electronics (23 papers), Digital Filter Design and Implementation (23 papers), Embedded Systems Design Techniques (23 papers) and Cryptographic Implementations and Security (21 papers). The work is most often cited by research in Hardware and Architecture (332 citations), Artificial Intelligence (535 citations), Electrical and Electronic Engineering (886 citations), Computational Theory and Mathematics (242 citations) and Information Systems (337 citations). G.C. Cardarilli has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include M. Re, Alberto Nannarelli, Luca Di Nunzio, Rocco Fazzolari, Sergio Spanò, A. Salsano, Salvatore Pontarelli, Daniele Giardino, Lorenzo Canese and Marco Ottavi. Their work appears in journals such as IEEE Access, IEEE Transactions on Circuits & Systems II Express Briefs, Electronics, Scientific Reports and Applied Sciences.

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.

Explore authors with similar magnitude of impact