Alberto Macii

3.7k total citations
160 papers, 2.5k citations indexed

About

Alberto Macii is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Automotive Engineering. According to data from OpenAlex, Alberto Macii has authored 160 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Electrical and Electronic Engineering, 73 papers in Hardware and Architecture and 33 papers in Automotive Engineering. Recurrent topics in Alberto Macii's work include Low-power high-performance VLSI design (66 papers), Embedded Systems Design Techniques (39 papers) and Parallel Computing and Optimization Techniques (38 papers). Alberto Macii is often cited by papers focused on Low-power high-performance VLSI design (66 papers), Embedded Systems Design Techniques (39 papers) and Parallel Computing and Optimization Techniques (38 papers). Alberto Macii collaborates with scholars based in Italy, United States and South Korea. Alberto Macii's co-authors include Massimo Poncino, Luca Benini, Enrico Macii, R. Scarsi, G. Castelli, Alberto Bocca, Andrea Calimera, Edoardo Patti, D. Bruni and Yukai Chen and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Proceedings of the IEEE and Expert Systems with Applications.

In The Last Decade

Alberto Macii

151 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Macii Italy 28 1.5k 1.0k 713 550 299 160 2.5k
Fanxin Kong United States 21 1.4k 0.9× 157 0.2× 636 0.9× 498 0.9× 204 0.7× 77 2.0k
Francisco Vasques Portugal 23 646 0.4× 562 0.5× 1.5k 2.1× 50 0.1× 106 0.4× 199 2.1k
Aidong Xu China 19 470 0.3× 75 0.1× 458 0.6× 79 0.1× 302 1.0× 132 1.3k
Seung‐Woo Seo South Korea 24 754 0.5× 55 0.1× 465 0.7× 729 1.3× 247 0.8× 158 2.0k
Paulo Portugal Portugal 18 495 0.3× 120 0.1× 926 1.3× 48 0.1× 73 0.2× 126 1.3k
Eduardo Camponogara Brazil 24 507 0.3× 73 0.1× 417 0.6× 183 0.3× 224 0.7× 160 2.9k
Xue Li China 19 791 0.5× 94 0.1× 389 0.5× 92 0.2× 183 0.6× 99 1.4k
Yu Gu United States 31 2.3k 1.6× 55 0.1× 2.5k 3.6× 144 0.3× 124 0.4× 121 3.5k
Mohamed Hamdi Tunisia 18 648 0.4× 35 0.0× 762 1.1× 152 0.3× 365 1.2× 161 1.7k
Carlo Alberto Boano Austria 22 1.2k 0.8× 78 0.1× 1.4k 2.0× 31 0.1× 161 0.5× 121 2.1k

Countries citing papers authored by Alberto Macii

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Macii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Macii

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Macii. A scholar is included among the top collaborators of Alberto Macii 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 Alberto Macii. Alberto Macii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aliberti, Alessandro, et al.. (2023). Effectiveness of neural networks and transfer learning to forecast photovoltaic power production. Applied Soft Computing. 149. 110988–110988. 10 indexed citations
2.
Aliberti, Alessandro, et al.. (2022). Transformer neural networks for interpretable flood forecasting. Environmental Modelling & Software. 160. 105581–105581. 93 indexed citations
3.
Macii, Alberto, et al.. (2022). Solar radiation forecasting with deep learning techniques integrating geostationary satellite images. Engineering Applications of Artificial Intelligence. 116. 105493–105493. 27 indexed citations
4.
Chen, Yukai, et al.. (2021). In-Situ Defect Detection of Metal Additive Manufacturing: An Integrated Framework. IEEE Transactions on Emerging Topics in Computing. 10(1). 74–86. 35 indexed citations
5.
Bocca, Alberto, et al.. (2021). A quantitive analysis of the recovery effect in batteries from datasheets. 96–99. 1 indexed citations
6.
Baek, Donkyu, Yukai Chen, Alberto Bocca, et al.. (2019). Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Transactions on Vehicular Technology. 68(6). 5471–5482. 61 indexed citations
7.
Bowden, David A., Nikolaos Nikolakis, Sotiris Makris, et al.. (2019). A Cloud-to-edge Architecture for Predictive Analytics.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 9 indexed citations
8.
Shin, Donghwa, et al.. (2013). An automated framework for generating variable-accuracy battery models from datasheet information. 365–370. 17 indexed citations
9.
Liu, Wei, et al.. (2011). Modeling of thermally induced skew variations in clock distribution network. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–6. 2 indexed citations
10.
Calimera, Andrea, Alberto Macii, Enrico Macii, Salvatore Rinaudo, & Massimo Poncino. (2010). Modeling, Control and Management of Thermal Effects in Electronic Circuits of the Future. 171–176. 1 indexed citations
11.
Bolzani, L., Andrea Calimera, Alberto Macii, Enrico Macii, & Massimo Poncino. (2009). Enabling concurrent clock and power gating in an industrial design flow. Design, Automation, and Test in Europe. 334–339. 19 indexed citations
12.
Calimera, Andrea, et al.. (2007). Interactive presentation: Efficient computation of discharge current upper bounds for clustered sleep transistor sizing. Design, Automation, and Test in Europe. 1544–1549. 9 indexed citations
13.
Macii, Alberto. (2005). Low-power embedded systems: Guest-editorial. 1(3). 303–304.
14.
Benini, Luca, et al.. (2004). Block-enabled memory macros: design space exploration and application-specific tuning. Design, Automation, and Test in Europe. 1. 10698. 1 indexed citations
15.
Macii, Alberto, et al.. (2003). A New Algorithm for Energy-Driven Data Compression in VLIW Embedded Processors. Design, Automation, and Test in Europe. 10024–10029. 8 indexed citations
16.
Macii, Alberto, Enrico Macii, & Massimo Poncino. (2003). Improving the Efficiency of Memory Partitioning by Address Clustering. Design, Automation, and Test in Europe. 10018–10023. 14 indexed citations
17.
Benini, Luca, D. Bruni, Alberto Macii, & Enrico Macii. (2002). Hardware-Assisted Data Compression for Energy Minimization in Systems with Embedded Processors. Design, Automation, and Test in Europe. 449–453. 52 indexed citations
18.
Benini, Luca, G. Castelli, Alberto Macii, et al.. (1999). A Library of Accurate Battery Models for Usage in High-Level Power Estimation and Optimization. PORTO Publications Open Repository TOrino (Politecnico di Torino). 345–354. 1 indexed citations
19.
Macii, Alberto & Enrico Macii. (1999). High-Throughput, Telescopic Implementation of a R2W Converter for a 5-Moduli RNS. PORTO Publications Open Repository TOrino (Politecnico di Torino). 175–178.
20.
Macii, Alberto, et al.. (1997). Throughput, delay and packet loss analyses of input buffered ATM switch architectures. Systems Analysis Modelling Simulation. 28(1). 69–75. 1 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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