Enrico Macii

10.9k total citations
556 papers, 7.2k citations indexed

About

Enrico Macii is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Enrico Macii has authored 556 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 364 papers in Electrical and Electronic Engineering, 216 papers in Hardware and Architecture and 88 papers in Computer Networks and Communications. Recurrent topics in Enrico Macii's work include Low-power high-performance VLSI design (181 papers), VLSI and Analog Circuit Testing (94 papers) and Parallel Computing and Optimization Techniques (91 papers). Enrico Macii is often cited by papers focused on Low-power high-performance VLSI design (181 papers), VLSI and Analog Circuit Testing (94 papers) and Parallel Computing and Optimization Techniques (91 papers). Enrico Macii collaborates with scholars based in Italy, United States and Switzerland. Enrico Macii's co-authors include Massimo Poncino, Luca Benini, Alberto Macii, Fabio Somenzi, Andrea Acquaviva, Edoardo Patti, Andrea Calimera, Giovanni De Micheli, Gary D. Hachtel and Santa Di Cataldo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Enrico Macii

525 papers receiving 6.8k citations

Peers

Enrico Macii

EEE

CNC

CTM

Rajesh K. Gupta United States

Xue Liu Canada

Muhammad Shafique Germany

Sy‐Yen Kuo Taiwan

Xiaorui Wang United States

Farinaz Koushanfar United States

L.M. Patnaik India

Cesare Alippi Italy

Jianwei Niu China

Peng Cheng China

Rajesh K. Gupta United States

Enrico Macii

4.4k ×1.0

EEE

5.4k ×2.1

4.6k ×3.1

CNC

978 ×0.9

649 ×1.1

CTM

Citations per year, relative to Enrico Macii Enrico Macii (= 1×) peers Rajesh K. Gupta

Countries citing papers authored by Enrico Macii

Since Specialization

Citations

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

Fields of papers citing papers by Enrico Macii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Macii

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Macii. A scholar is included among the top collaborators of Enrico 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 Enrico Macii. Enrico Macii 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

Chen, Yukai, et al.. (2025). Advancing Electric Vehicle Battery Management: A Data-Driven Digital Twin Approach for Real-Time Monitoring and Performance Enhancement. IEEE Transactions on Vehicular Technology. 74(9). 13850–13864. 3 indexed citations

Pagliari, Daniele Jahier, et al.. (2024). Model-Driven Feature Engineering for Data-Driven Battery SOH Model. 1–6. 1 indexed citations

Appello, D., Alessandro Beghi, Santa Di Cataldo, et al.. (2024). An AI-Enabled Framework for Smart Semiconductor Manufacturing. Research Padua Archive (University of Padua). 1–6. 2 indexed citations

Aliberti, Alessandro, Lorenzo Bottaccioli, Edoardo Pasta, et al.. (2024). A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters. Engineering Applications of Artificial Intelligence. 138. 109352–109352. 4 indexed citations

Xie, Chen, Yukai Chen, Andrea Calimera, et al.. (2023). Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet of Things Journal. 10(15). 13895–13907. 8 indexed citations

Aliberti, Alessandro, et al.. (2022). Transformer neural networks for interpretable flood forecasting. Environmental Modelling & Software. 160. 105581–105581. 93 indexed citations

Aliberti, Alessandro, et al.. (2021). Solar radiation forecasting based on convolutional neural network and ensemble learning. Expert Systems with Applications. 181. 115167–115167. 78 indexed citations

Baek, Donkyu, Yukai Chen, Naehyuck Chang, Enrico Macii, & Massimo Poncino. (2020). Optimal Battery Sizing for Electric Truck Delivery. Energies. 13(3). 709–709. 23 indexed citations

Baek, Donkyu, Yukai Chen, Naehyuck Chang, Enrico Macii, & Massimo Poncino. (2020). Battery-Aware Electric Truck Delivery Route Exploration. Energies. 13(8). 2096–2096. 11 indexed citations

10.

Pagliari, Daniele Jahier, et al.. (2019). A Comparison Analysis of BLE-Based Algorithms for Localization in Industrial Environments. Electronics. 9(1). 44–44. 23 indexed citations

11.

Urgese, Gianvito, et al.. (2019). Benchmarking a Many-Core Neuromorphic Platform With an MPI-Based DNA Sequence Matching Algorithm. Electronics. 8(11). 1342–1342. 4 indexed citations

12.

Macii, Enrico, et al.. (2018). Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. Iris Unimore (University of Modena and Reggio Emilia). 58–66. 36 indexed citations

13.

Bottaccioli, Lorenzo, Abouzar Estebsari, Enrico Pons, et al.. (2017). A Flexible Distributed Infrastructure for Real-Time Cosimulations in Smart Grids. IEEE Transactions on Industrial Informatics. 13(6). 3265–3274. 31 indexed citations

14.

Cataldo, Santa Di, A. Bottino, Elisa Ficarra, & Enrico Macii. (2012). Applying Textural Features to the Classification of HEp-2 Cell Patterns in IIF images. IRIS UNIMORE (University of Modena and Reggio Emilia). 28 indexed citations

15.

Liu, Wei, Andrea Calimera, Alberto Nannarelli, Enrico Macii, & Massimo Poncino. (2009). Thermal Modeling Based on SPICE Simulation. 1 indexed citations

16.

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

17.

Benini, Luca, G. De Micheli, Enrico Macii, Massimo Poncino, & R. Scarsi. (1997). Integrating Logic-Level Power Management Techniques. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

18.

Macii, Enrico & Massimo Poncino. (1995). Symbolic Representation and Manipulation of Large Neural Networks. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2 indexed citations

19.

Macii, Enrico & Massimo Poncino. (1994). The Impact of Gate Delay Models on Power Estimation for CMOS Circuits. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2 indexed citations

20.

Bahar, R. Iris, et al.. (1994). An Application of ADD-Based Timing Analysis to Combinational Low Power Re-Synthesis. PORTO Publications Open Repository TOrino (Politecnico di Torino). 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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