Carlo Galuzzi

418 total citations
28 papers, 192 citations indexed

About

Carlo Galuzzi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Carlo Galuzzi has authored 28 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Carlo Galuzzi's work include Embedded Systems Design Techniques (19 papers), Parallel Computing and Optimization Techniques (16 papers) and Interconnection Networks and Systems (13 papers). Carlo Galuzzi is often cited by papers focused on Embedded Systems Design Techniques (19 papers), Parallel Computing and Optimization Techniques (16 papers) and Interconnection Networks and Systems (13 papers). Carlo Galuzzi collaborates with scholars based in Netherlands, Germany and Australia. Carlo Galuzzi's co-authors include Koen Bertels, Stamatis Vassiliadis, Elena Moscu Panainte, Amir Zjajo, René van Leuken, Dimitris Theodoropoulos, Andy D. Pimentel, Mark G. Thompson, Christos Strydis and Georgi Gaydadjiev and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Circuits and Systems and International Journal of Electronics.

In The Last Decade

Carlo Galuzzi

25 papers receiving 181 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carlo Galuzzi Netherlands	6	139	94	64	27	19	28	192
Davide Giri United States	9	105 0.8×	72 0.8×	79 1.2×	27 1.0×	7 0.4×	28	174
Tom Knight United States	5	132 0.9×	155 1.6×	38 0.6×	9 0.3×	6 0.3×	8	211
W.J. Bainbridge United Kingdom	9	196 1.4×	163 1.7×	235 3.7×	37 1.4×	16 0.8×	11	310
Florian Frick Germany	7	84 0.6×	37 0.4×	84 1.3×	30 1.1×	9 0.5×	30	174
Charles J Archer United States	7	234 1.7×	244 2.6×	59 0.9×	25 0.9×	8 0.4×	16	322
Liu Ke China	8	72 0.5×	58 0.6×	108 1.7×	49 1.8×	7 0.4×	17	202
Feng Yuan Hong Kong	8	243 1.7×	63 0.7×	196 3.1×	56 2.1×	11 0.6×	21	300
Geoffrey Ndu United Kingdom	5	97 0.7×	60 0.6×	252 3.9×	96 3.6×	17 0.9×	7	340
Ameer Haj-Ali Israel	8	64 0.5×	46 0.5×	197 3.1×	47 1.7×	18 0.9×	10	266
Mohammad Khavari Tavana United States	11	239 1.7×	175 1.9×	193 3.0×	20 0.7×	5 0.3×	27	321

Countries citing papers authored by Carlo Galuzzi

Since Specialization

Citations

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

Fields of papers citing papers by Carlo Galuzzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Galuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Galuzzi. A scholar is included among the top collaborators of Carlo Galuzzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlo Galuzzi. Carlo Galuzzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Galuzzi, Carlo, et al.. (2021). Optimal ECG Lead System for Automatic Myocardial Ischemia Detection. Data Archiving and Networked Services (DANS). 1–4. 1 indexed citations

Zjajo, Amir, et al.. (2018). A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation. IEEE Transactions on Biomedical Circuits and Systems. 12(2). 326–337. 10 indexed citations

Zjajo, Amir, et al.. (2017). Neuromorphic self-organizing map design for classification of bioelectric-timescale signals. Research Publications (Maastricht University). 113–120. 2 indexed citations

Zjajo, Amir, et al.. (2016). Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation. PubMed. 2016. 5829–5832. 3 indexed citations

Zjajo, Amir, et al.. (2016). A real-time hybrid neuron network for highly parallel cognitive systems. PubMed. 2016. 792–795. 4 indexed citations

Zjajo, Amir, Carlo Galuzzi, & René van Leuken. (2015). Noise Analysis of Programmable Gain Analog to Digital Converter for Integrated Neural Implant Front End. Swinburne Research Bank (Swinburne University of Technology). 5–12.

Galuzzi, Carlo, et al.. (2013). Quipu. ACM Transactions on Reconfigurable Technology and Systems. 6(1). 1–25. 2 indexed citations

Ashraf, Imran, et al.. (2012). Profile-guided application partitioning for heterogeneous reconfigurable platforms. Swinburne Research Bank (Swinburne University of Technology). 37–43.

Galuzzi, Carlo, et al.. (2012). Evaluation of Runtime Task Mapping Using the rSesame Framework. SHILAP Revista de lepidopterología. 2012. 1–17. 3 indexed citations

10.

Galuzzi, Carlo, et al.. (2011). Runtime extraction of memory access information from the application source code. Swinburne Research Bank (Swinburne University of Technology). 647–655. 2 indexed citations

11.

Galuzzi, Carlo, et al.. (2011). High level quantitative hardware prediction modeling using statistical methods. Swinburne Research Bank (Swinburne University of Technology). 140–149. 16 indexed citations

12.

Galuzzi, Carlo, et al.. (2010). tQUAD - Memory Bandwidth Usage Analysis. 217–226. 4 indexed citations

13.

Galuzzi, Carlo, et al.. (2009). Algorithms for the automatic extension of an instruction-set. Design, Automation, and Test in Europe. 548–553. 5 indexed citations

14.

Galuzzi, Carlo, et al.. (2009). Algorithms for the automatic extension of an instruction-set. 548–553. 4 indexed citations

15.

Thompson, Mark G., et al.. (2009). rSesame - A generic system-level runtime simulation framework for reconfigurable architectures. UvA-DARE (University of Amsterdam). 460–464. 2 indexed citations

16.

Galuzzi, Carlo, Dimitris Theodoropoulos, & Koen Bertels. (2008). Clustering method for the identification of convex disconnected Multiple Input Multiple Output instructions. 53. 65–73. 2 indexed citations

17.

Galuzzi, Carlo, et al.. (2008). High-bandwidth Address Generation Unit. Journal of Signal Processing Systems. 57(1). 33–44. 5 indexed citations

18.

Galuzzi, Carlo, Koen Bertels, & Stamatis Vassiliadis. (2008). A linear complexity algorithm for the automatic generation of convex multiple input multiple output instructions. International Journal of Electronics. 95(7). 603–619. 3 indexed citations

19.

Galuzzi, Carlo, et al.. (2008). Automatic Instruction-Set Extensions with the Linear Complexity Spiral Search. 31–36. 2 indexed citations

20.

Galuzzi, Carlo, Koen Bertels, & Stamatis Vassiliadis. (2007). The Spiral Search: A Linear Complexity Algorithm for the Generation of Convex MIMO Instruction-Set Extensions. 337–340. 8 indexed citations

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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