Massimo Poli

712 citations
32 papers · 581 · h-index 12

Impact in

Papers in

Massimo Poli

32 papers receiving 538 citations

Peers

Massimo Poli
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 267
  • Hardware and Architecture 89
  • Transplantation 9
  • Complementary and alternative medicine 26
  • Biomedical Engineering 138
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M. YOKOYAMA Japan
Zahra Ebrahimi Germany
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Poli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Poli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988320
2 200424
3 200923
4 200322
5 200720
6 199616
7 200814
8 200914
9 200614
10 200214
11 200613
12 200412
13 200511
14 20039
15 20108
16 20067
17 20096
18 20075
19 20075
20 20084

About Massimo Poli

Massimo Poli is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications, having authored 32 papers that have together received 581 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (15 papers), VLSI and FPGA Design Techniques (9 papers), Cryptographic Implementations and Security (9 papers), Coding theory and cryptography (7 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), VLSI and Analog Circuit Testing (5 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (267 citations), Hardware and Architecture (89 citations), Transplantation (9 citations), Complementary and alternative medicine (26 citations) and Biomedical Engineering (138 citations). Massimo Poli has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include G. Palumbo, Massimo Alioto, Gabriella Malfatto, Simona Pierini, Alberto Malliani, Stefano Guzzetti, Rodolfo Casati, Massimo Pagani, Federico Lombardi and S. Cerutti. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Signal Processing, Review of Scientific Instruments, International Journal of Circuit Theory and Applications and IEEE Transactions on Dependable and Secure 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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