Luca Amarù

2.5k citations
96 papers · 1.9k · h-index 22

Impact in

Papers in

Luca Amarù

93 papers receiving 1.8k citations

Peers

Luca Amarù
Comparison fields: 5 of 44
  • Hardware and Architecture 444
  • Computational Theory and Mathematics 574
  • Electrical and Electronic Engineering 1.5k
  • Software 54
  • Artificial Intelligence 328
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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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2015171
3 2014133
4
The Programmable Logic-in-Memory (PLiM) computer
201675
5 201766
6 201661
7 201755
8 201254
9 201545
10 201137
11 201937
12 201534
13 201333
14 201632
15 201429
16 201627
17 201526
18 201925
19 201424
20 201323

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 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (31 papers), VLSI and Analog Circuit Testing (24 papers), Formal Methods in Verification (24 papers), Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (22 papers), Radiation Effects in Electronics (16 papers), Advanced Memory and Neural Computing (15 papers) and Quantum-Dot Cellular Automata (14 papers). The work is most often cited by research in Hardware and Architecture (444 citations), Computational Theory and Mathematics (574 citations), Electrical and Electronic Engineering (1.5k citations), Software (54 citations) and Artificial Intelligence (328 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, Anne Siemon, Eike Linn, Winston Haaswijk, Rainer Waser, 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, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Circuits and Systems Magazine.

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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