Igor Loi

2.5k citations
59 papers · 1.6k indexed · h-index 22

Impact in

Papers in

Igor Loi

59 papers receiving 1.5k citations

Peers

Igor Loi
Comparison fields: 5 of 50
  • Hardware and Architecture 645
  • Computer Networks and Communications 710
  • Electrical and Electronic Engineering 1.1k
  • Computer Vision and Pattern Recognition 204
  • Automotive Engineering 68
Replace Édith Beigné with:
Édith Beigné France
Antonio Pullini Italy
David Fick United States
Matthew Fojtik United States
Pascal Vivet France
Hussam Amrouch Germany
Arnab Raha United States
Kambiz Samadi United States
Xuan Zhang United States
Igor Loi relative to Édith Beigné France Édith Beigné's profile →
Citations per field
00.5×1.5×1.9×
Édith Beigné · 1×
Citations per year

Countries citing papers authored by Igor Loi

Since Specialization
Citations

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

Fields of papers citing papers by Igor Loi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202165
3 20204
4 2018143
5 201622
6
A Case for Near Memory Computation Inside the Smart Memory Cube
20163
7 201586
8 201519
9 201516
10 20144
11 20131
12 20127
13 201212
14 20121
15 201213
16 20105
17 201021
18 20096
19 2008120
20 2008125

About Igor Loi

Igor Loi is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (40 papers), Parallel Computing and Optimization Techniques (33 papers), Advanced Memory and Neural Computing (22 papers), 3D IC and TSV technologies (14 papers), Low-power high-performance VLSI design (9 papers), Embedded Systems Design Techniques (7 papers), CCD and CMOS Imaging Sensors (6 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Hardware and Architecture (645 citations), Computer Networks and Communications (710 citations), Electrical and Electronic Engineering (1.1k citations), Computer Vision and Pattern Recognition (204 citations) and Automotive Engineering (68 citations). Igor Loi has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Luca Benini, Davide Rossi, Antonio Pullini, Francesco Conti, Federico Angiolini, Shinobu Fujita, Subhasish Mitra, Thomas H. Lee, Giuseppe Tagliavini and Mohammad Reza Kakoee. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Journal of Solid-State Circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Design and Test.

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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