Fabrizio Lombardi

16.2k citations
658 papers · 12.0k indexed · 3 hit papers · h-index 57

Fabrizio Lombardi

610 papers receiving 11.4k citations

Hit Papers

Design and Analysis of Approximate Compressors for Multip...4222009202620142020100200300400

Peers

Fabrizio Lombardi
Comparison fields: 5 of 131
  • Hardware and Architecture 3.5k
  • Computational Theory and Mathematics 3.1k
  • Electrical and Electronic Engineering 10.1k
  • Software 253
  • Biomedical Engineering 2.1k
Replace Jie Han with:
Jie Han Canada
Xiaobo Sharon Hu United States
Anand Raghunathan United States
Niraj K. Jha United States
Georges Gielen Belgium
David Blaauw United States
Sachin S. Sapatnekar United States
Francky Catthoor Belgium
Shekhar Borkar United States
Dennis Sylvester United States
Fabrizio Lombardi relative to Jie Han Canada Jie Han's profile →
Citations per field
00.5×1.5×2.4×
Jie Han · 1×
Citations per year

Countries citing papers authored by Fabrizio Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20240
4 20240
5 20231
6 20231
7 20197
8 201920
9 201740
10 20168
11 20165
12 20156
13 20153
14 20144
15 20107
16 20046
17 19963
18
On the Methods to Detect Sector Faults of a Disk Subsystem
19931
19
Reconfiguration of VLSI arrays by covering
19894
20
A Technique for Reconfiguring Two Dimensional VLSI Arrays.
19875

About Fabrizio Lombardi

Fabrizio Lombardi is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Software, having authored 658 papers that have together received 12.0k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (210 papers), Low-power high-performance VLSI design (159 papers), Radiation Effects in Electronics (126 papers), Advanced Memory and Neural Computing (122 papers), Advancements in Semiconductor Devices and Circuit Design (103 papers), Integrated Circuits and Semiconductor Failure Analysis (93 papers), VLSI and FPGA Design Techniques (80 papers) and Interconnection Networks and Systems (73 papers). The work is most often cited by research in Hardware and Architecture (3.5k citations), Computational Theory and Mathematics (3.1k citations) and Electrical and Electronic Engineering (10.1k citations). Fabrizio Lombardi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jie Han, Yong-Bin Kim, Weiqiang Liu, Sheng Lin, Marco Ottavi, M. Momenzadeh, Jinghang Liang, Honglan Jiang, Wei Huang and Chenghua Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Proceedings of the IEEE.

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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