L. Macchiarulo

69 papers receiving 1.5k citations

Peers

L. Macchiarulo
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 733
  • Hardware and Architecture 277
  • Electrical and Electronic Engineering 507
  • Computer Networks and Communications 183
  • Computational Theory and Mathematics 63
Replace Giacomo R. Sechi with:
Giacomo R. Sechi Italy
Monica Alderighi Italy
Francesco Corsi Italy
Michal Husejko Switzerland
F. Benotto Italy
Luca Zabeo France
Jacques Michel France
G. Torromeo Italy
V. Elsha Russia
Floarea Dumitrache Italy
L. Macchiarulo relative to Giacomo R. Sechi Italy Giacomo R. Sechi's profile →
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Citations per year

Countries citing papers authored by L. Macchiarulo

Since Specialization
Citations

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

Fields of papers citing papers by L. Macchiarulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011206
2 2016114
3 2018106
4 200283
5 201982
6 201873
7 200171
8 200464
9 201953
10 200250
11 200144
12 200243
13 201143
14 200240
15 200235
16 200328
17 200628
18 200828
19 201924
20 200422

About L. Macchiarulo

L. Macchiarulo is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Radiation, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (26 papers), Particle Detector Development and Performance (15 papers), Low-power high-performance VLSI design (12 papers), Astrophysics and Cosmic Phenomena (9 papers), Interconnection Networks and Systems (8 papers), Radiation Effects in Electronics (8 papers), Embedded Systems Design Techniques (8 papers) and VLSI and Analog Circuit Testing (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (733 citations), Hardware and Architecture (277 citations), Electrical and Electronic Engineering (507 citations), Computer Networks and Communications (183 citations) and Computational Theory and Mathematics (63 citations). L. Macchiarulo has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Mario R. Casu, Pierluigi Civera, Massimo Poncino, Matteo Sonza Reorda, Maurizio Rebaudengo, Enrico Macii, Massimo Violante, Alberto Macii, Olga Borić-Lubecke and Kurtis A. Nishimura. Their work appears in journals such as Physical review. D, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical Review Letters and Journal of Instrumentation.

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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