Paolo Rech

3.4k citations
176 papers · 2.5k · h-index 28

Impact in

Papers in

Paolo Rech

168 papers receiving 2.5k citations

Peers

Paolo Rech
Comparison fields: 5 of 73
  • Hardware and Architecture 1.2k
  • Software 168
  • Electrical and Electronic Engineering 2.1k
  • Computer Networks and Communications 605
  • Artificial Intelligence 577
Replace Michael Wirthlin with:
Michael Wirthlin United States
Sanjay J. Patel United States
Fernanda Lima Kastensmidt Brazil
M. Violante Italy
M. Sonza Reorda Italy
Sani Nassif United States
Bin Ren United States
Miloš Krstić Germany
Thomas Noll Germany
Jingwen Leng China
Paolo Rech relative to Michael Wirthlin United States Michael Wirthlin's profile →
Citations per field
00.5×1.5×2.4×
Michael Wirthlin · 1×
Citations per year

Countries citing papers authored by Paolo Rech

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Rech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 2015136
3 201899
4 201585
5 201582
6 200775
7 201470
8 202061
9 201357
10 201756
11 202047
12 201244
13 201740
14 201839
15 201938
16 202136
17 201934
18 201734
19 201434
20 202133

About Paolo Rech

Paolo Rech is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 176 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiation Effects in Electronics (139 papers), Parallel Computing and Optimization Techniques (58 papers), VLSI and Analog Circuit Testing (46 papers), Semiconductor materials and devices (24 papers), Advanced Neural Network Applications (23 papers), Distributed systems and fault tolerance (21 papers), Adversarial Robustness in Machine Learning (17 papers) and Integrated Circuits and Semiconductor Failure Analysis (17 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Software (168 citations), Electrical and Electronic Engineering (2.1k citations), Computer Networks and Communications (605 citations) and Artificial Intelligence (577 citations). Paolo Rech has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Luigi Carro, Fernando Fernandes dos Santos, Daniel Oliveira, Philippe O. A. Navaux, Christopher Frost, Fernanda Lima Kastensmidt, Laércio Lima Pilla, David Kaeli, M. Sonza Reorda and Thiago Santini. Their work appears in journals such as IEEE Transactions on Nuclear Science, Microelectronics Reliability, IEEE Transactions on Computers, IEEE Transactions on Device and Materials Reliability and Nature Communications.

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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