Marco Fagiani

777 total citations
20 papers, 588 citations indexed

About

Marco Fagiani is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Marco Fagiani has authored 20 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Marco Fagiani's work include Smart Grid Energy Management (15 papers), Energy Load and Power Forecasting (7 papers) and Building Energy and Comfort Optimization (5 papers). Marco Fagiani is often cited by papers focused on Smart Grid Energy Management (15 papers), Energy Load and Power Forecasting (7 papers) and Building Energy and Comfort Optimization (5 papers). Marco Fagiani collaborates with scholars based in Italy. Marco Fagiani's co-authors include Stefano Squartini, Francesco Piazza, Roberto Bonfigli, Emanuele Principi, Marco Severini, Andrea Felicetti, Leonardo Gabrielli, Susanna Spinsante, Ornella Pisacane and Francesco Ferracuti and has published in prestigious journals such as Applied Energy, Energy and Buildings and Neurocomputing.

In The Last Decade

Marco Fagiani

20 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Fagiani Italy 10 479 187 138 98 90 20 588
David Murray United Kingdom 8 422 0.9× 181 1.0× 128 0.9× 101 1.0× 58 0.6× 16 545
Geoff Lyon United States 5 483 1.0× 220 1.2× 118 0.9× 92 0.9× 51 0.6× 12 559
Ethan Goldman United States 5 346 0.7× 177 0.9× 72 0.5× 102 1.0× 28 0.3× 7 448
Bob Gill Canada 9 581 1.2× 234 1.3× 160 1.2× 114 1.2× 71 0.8× 29 710
Marco Severini Italy 10 409 0.9× 148 0.8× 193 1.4× 79 0.8× 53 0.6× 20 532
Simon K. K. Ng Hong Kong 8 654 1.4× 147 0.8× 194 1.4× 100 1.0× 40 0.4× 21 724
Silvio Brandi Italy 12 416 0.9× 468 2.5× 137 1.0× 147 1.5× 20 0.2× 18 737
Nilson Henao Canada 14 559 1.2× 212 1.1× 137 1.0× 109 1.1× 20 0.2× 66 743
Ángel Zorita-Lamadrid Spain 10 372 0.8× 217 1.2× 160 1.2× 93 0.9× 17 0.2× 33 561
Hsueh‐Hsien Chang Taiwan 19 1.1k 2.3× 258 1.4× 466 3.4× 127 1.3× 90 1.0× 44 1.2k

Countries citing papers authored by Marco Fagiani

Since Specialization
Citations

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

Fields of papers citing papers by Marco Fagiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Fagiani

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Fagiani. A scholar is included among the top collaborators of Marco Fagiani 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 Marco Fagiani. Marco Fagiani 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.
Fagiani, Marco, et al.. (2019). A Non-Intrusive Load Monitoring Algorithm Based on Non-Uniform Sampling of Power Data and Deep Neural Networks. Energies. 12(7). 1371–1371. 25 indexed citations
2.
Pisacane, Ornella, Marco Severini, Marco Fagiani, & Stefano Squartini. (2019). Collaborative energy management in a micro-grid by multi-objective mathematical programming. Energy and Buildings. 203. 109432–109432. 9 indexed citations
3.
Fagiani, Marco, et al.. (2018). rEMpy: a comprehensive software framework for residential energy management. Energy and Buildings. 171. 131–143. 7 indexed citations
4.
Arnesano, Marco, Marco Fagiani, Adriano Mancini, et al.. (2018). An IoT Solution for Energy Management at Building and District Level. Università Politecnica delle Marche (Università Politecnica delle Marche). pp. 1–7. 3 indexed citations
5.
Severini, Marco, Ornella Pisacane, Marco Fagiani, & Stefano Squartini. (2018). Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–8. 2 indexed citations
6.
Severini, Marco, Emanuele Principi, Marco Fagiani, Stefano Squartini, & Francesco Piazza. (2017). Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments. Energies. 10(4). 453–453. 8 indexed citations
7.
Bonfigli, Roberto, Emanuele Principi, Marco Fagiani, et al.. (2017). Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models. Applied Energy. 208. 1590–1607. 181 indexed citations
8.
Bonfigli, Roberto, Andrea Felicetti, Emanuele Principi, et al.. (2017). Denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation. Energy and Buildings. 158. 1461–1474. 130 indexed citations
9.
Fagiani, Marco, Marco Severini, Stefano Squartini, et al.. (2017). A new open-source Energy Management framework: Functional description and preliminary results. Università Politecnica delle Marche (Università Politecnica delle Marche). pp. 1207–1214. 4 indexed citations
10.
Fagiani, Marco, Stefano Squartini, Leonardo Gabrielli, Marco Severini, & Francesco Piazza. (2016). A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids. Energies. 9(9). 665–665. 18 indexed citations
11.
Severini, Marco, et al.. (2016). SW framework for simulation and evaluation of partial shading effects in configurable PV systems. Università Politecnica delle Marche (Università Politecnica delle Marche). 45. 1–6. 3 indexed citations
12.
Bonfigli, Roberto, Emanuele Principi, Stefano Squartini, et al.. (2016). User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. Università Politecnica delle Marche (Università Politecnica delle Marche). pp. 1–8. 8 indexed citations
13.
Bonfigli, Roberto, Marco Severini, Stefano Squartini, Marco Fagiani, & Francesco Piazza. (2016). Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring. Università Politecnica delle Marche (Università Politecnica delle Marche). pp. 303–310. 9 indexed citations
14.
Bonfigli, Roberto, Stefano Squartini, Marco Fagiani, & Francesco Piazza. (2015). Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview. Università Politecnica delle Marche (Università Politecnica delle Marche). 1175–1180. 96 indexed citations
15.
Fagiani, Marco, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, & Francesco Piazza. (2015). A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. Neurocomputing. 170. 448–465. 36 indexed citations
16.
Fagiani, Marco, Stefano Squartini, Roberto Bonfigli, & Francesco Piazza. (2015). Short-term load forecasting for smart water and gas grids: A comparative evaluation. Università Politecnica delle Marche (Università Politecnica delle Marche). 2. 1198–1203. 1 indexed citations
17.
Severini, Marco, Stefano Squartini, Marco Fagiani, & Francesco Piazza. (2015). Energy management with the support of dynamic pricing strategies in real micro-grid scenarios. Università Politecnica delle Marche (Università Politecnica delle Marche). 117. 1–8. 8 indexed citations
18.
Fagiani, Marco, Stefano Squartini, Marco Severini, & Francesco Piazza. (2015). A novelty detection approach to identify the occurrence of leakage in smart gas and water grids. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–8. 9 indexed citations
19.
Fagiani, Marco, et al.. (2014). Computational Intelligence in Smart water and gas grids: An up-to-date overview. Università Politecnica delle Marche (Università Politecnica delle Marche). 1. 921–926. 9 indexed citations
20.
Fagiani, Marco, Emanuele Principi, Stefano Squartini, & Francesco Piazza. (2014). Signer independent isolated Italian sign recognition based on hidden Markov models. Pattern Analysis and Applications. 18(2). 385–402. 22 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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