Diego Puschini

458 citations
42 papers · 365 · h-index 11

Impact in

Papers in

Diego Puschini

42 papers receiving 346 citations

Peers

Diego Puschini
Comparison fields: 5 of 26
  • Hardware and Architecture 102
  • Instrumentation 9
  • Computer Networks and Communications 64
  • Artificial Intelligence 83
  • Electrical and Electronic Engineering 123
Replace Johann Laurent with:
Johann Laurent France
Burhan Ahmad Mudassar United States
Amjad Yousef Majid Netherlands
José-María Arnau Spain
H. Fatih Uğurdağ Türkiye
Selma Saidi Germany
A. Yu. Romanov Russia
Joachim Gerlach Germany
Shengbing Zhang China
Ira Krepchin
Diego Puschini relative to Johann Laurent France Johann Laurent's profile →
Citations per field
00.5×2×3.4×
Johann Laurent · 1×
Citations per year

Countries citing papers authored by Diego Puschini

Since Specialization
Citations

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

Fields of papers citing papers by Diego Puschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 200832
3 201623
4 201422
5 200915
6 200914
7 201614
8 201012
9 201512
10 201411
11 201411
12 201110
13 20089
14 20119
15 20159
16 20179
17 20058
18 20126
19 20085
20 20115

About Diego Puschini

Diego Puschini is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering and Aerospace Engineering, having authored 42 papers that have together received 365 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (18 papers), Embedded Systems Design Techniques (11 papers), Parallel Computing and Optimization Techniques (7 papers), Real-Time Systems Scheduling (5 papers), Interconnection Networks and Systems (4 papers), Robotics and Sensor-Based Localization (3 papers), Advancements in PLL and VCO Technologies (3 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Hardware and Architecture (102 citations), Instrumentation (9 citations), Computer Networks and Communications (64 citations), Artificial Intelligence (83 citations) and Electrical and Electronic Engineering (123 citations). Diego Puschini has collaborated with scholars based in France, Vietnam and United States. Frequent co-authors include Édith Beigné, Lionel Torres, Pascal Benoit, Suzanne Lesecq, Gilles Sassatelli, Xuan‐Tu Tran, Fabien Clermidy, Christian Laugier, Carolina Albea and Ivan Miro-Panades. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Solid-State Electronics, IEEE Journal of Solid-State Circuits, IFAC-PapersOnLine and Lecture notes in computer science.

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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