Luca Amarù

2.5k citations
90 papers · 1.7k · h-index 22

Impact in

Papers in

Luca Amarù

87 papers receiving 1.7k citations

Peers

Luca Amarù
Comparison fields: 5 of 44
  • Hardware and Architecture 425
  • Computational Theory and Mathematics 533
  • Electrical and Electronic Engineering 1.4k
  • Software 50
  • Artificial Intelligence 298
Replace Sanjukta Bhanja with:
Sanjukta Bhanja United States
Swaroop Ghosh United States
Mathias Soeken Switzerland
Marco Ottavi Italy
Valeriu Beiu United Arab Emirates
Ilia Polian Germany
Kartik Mohanram United States
Seokhyeong Kang South Korea
John A. Chandy United States
Indranil Sengupta India
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Citations per field
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Citations per year

Countries citing papers authored by Luca Amarù

Since Specialization
Citations

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

Fields of papers citing papers by Luca Amarù

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2015161
3 2014121
4
The Programmable Logic-in-Memory (PLiM) computer
201667
5 201764
6 201754
7 201253
8 201649
9 201541
10 201135
11 201935
12 201533
13 201427
14 201327
15 201627
16 201626
17 201523
18 201923
19 201322
20 201522

About Luca Amarù

Luca Amarù is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (28 papers), VLSI and Analog Circuit Testing (24 papers), Advancements in Semiconductor Devices and Circuit Design (22 papers), Formal Methods in Verification (22 papers), Semiconductor materials and devices (21 papers), Radiation Effects in Electronics (14 papers), Advanced Memory and Neural Computing (13 papers) and VLSI and FPGA Design Techniques (13 papers). The work is most often cited by research in Hardware and Architecture (425 citations), Computational Theory and Mathematics (533 citations), Electrical and Electronic Engineering (1.4k citations), Software (50 citations) and Artificial Intelligence (298 citations). Luca Amarù has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Pierre‐Emmanuel Gaillardon, Giovanni De Micheli, Mathias Soeken, Anupam Chattopadhyay, Winston Haaswijk, Rainer Waser, Anne Siemon, Eike Linn, Alan Mishchenko and Subhasish Mitra. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers, IEEE Transactions on Nanotechnology, IEEE Transactions on Applied Superconductivity and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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