Fernando Moraes

4.1k citations
263 papers · 2.8k indexed · h-index 25

Fernando Moraes

242 papers receiving 2.7k citations

Peers

Fernando Moraes
Comparison fields: 5 of 53
  • Hardware and Architecture 2.1k
  • Computer Networks and Communications 2.2k
  • Electrical and Electronic Engineering 1.2k
  • Electronic, Optical and Magnetic Materials 201
  • Artificial Intelligence 148
Replace Ney Calazans with:
Ney Calazans Brazil
Maurizio Palesi Italy
Ahmed Hemani Sweden
T. Bjerregaard Denmark
Hideharu Amano Japan
Pedro López Spain
Valeria Bertacco United States
Matthew Mattina United States
Davide Patti Italy
Mikko H. Lipasti United States
Fernando Moraes relative to Ney Calazans Brazil Ney Calazans's profile →
Citations per field
00.5×2.6×
Ney Calazans · 1×
Citations per year

Countries citing papers authored by Fernando Moraes

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20242
4 20231
5 20235
6 20231
7 20230
8 20216
9 20217
10 20204
11 20200
12 20208
13 20161
14 20075
15 200685
16 20023
17 20011
18 20010
19 200110
20 20001

About Fernando Moraes

Fernando Moraes is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Artificial Intelligence, having authored 263 papers that have together received 2.8k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (171 papers), Parallel Computing and Optimization Techniques (133 papers), Embedded Systems Design Techniques (105 papers), Advanced Memory and Neural Computing (47 papers), VLSI and Analog Circuit Testing (31 papers), Low-power high-performance VLSI design (26 papers), Radiation Effects in Electronics (24 papers) and Cryptographic Implementations and Security (16 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Computer Networks and Communications (2.2k citations), Electrical and Electronic Engineering (1.2k citations), Electronic, Optical and Magnetic Materials (201 citations) and Artificial Intelligence (148 citations). Fernando Moraes has collaborated with scholars based in Brazil, France and United Kingdom. Frequent co-authors include Ney Calazans, Ewerson Carvalho, Luciano Ost, Aline Mello, Leandro Möller, Everton Alceu Carara, Alexandre M. Amory, César Marcon, Leonel Pablo Tedesco and Marcelo Lubaszewski. Their work appears in journals such as IEEE Access, Analog Integrated Circuits and Signal Processing, Journal of Systems Architecture, IEEE Design and Test and Journal of Parallel and Distributed Computing.

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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