Marco Pau

2.4k total citations
65 papers, 1.7k citations indexed

About

Marco Pau is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Marco Pau has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Electrical and Electronic Engineering, 40 papers in Control and Systems Engineering and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Marco Pau's work include Power System Optimization and Stability (42 papers), Optimal Power Flow Distribution (34 papers) and Smart Grid Energy Management (24 papers). Marco Pau is often cited by papers focused on Power System Optimization and Stability (42 papers), Optimal Power Flow Distribution (34 papers) and Smart Grid Energy Management (24 papers). Marco Pau collaborates with scholars based in Germany, Italy and China. Marco Pau's co-authors include Sara Sulis, Paolo Attilio Pegoraro, Ferdinanda Ponci, Antonello Monti, Carlo Muscas, Edoardo Patti, Enrico Pons, Abouzar Estebsari, Luca Barbierato and Andrea Angioni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

In The Last Decade

Marco Pau

63 papers receiving 1.7k 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 Pau Germany 24 1.5k 859 149 109 103 65 1.7k
Sumit Paudyal United States 19 2.0k 1.3× 1.2k 1.4× 114 0.8× 97 0.9× 169 1.6× 108 2.3k
Yixin Yu China 23 1.5k 1.0× 743 0.9× 84 0.6× 254 2.3× 87 0.8× 107 1.7k
Salman Mashayekh United States 18 1.0k 0.7× 866 1.0× 157 1.1× 34 0.3× 52 0.5× 27 1.3k
Jason Fuller United States 19 1.7k 1.1× 1.2k 1.3× 138 0.9× 86 0.8× 194 1.9× 49 1.9k
K. Moslehi United States 10 1.1k 0.7× 856 1.0× 224 1.5× 130 1.2× 34 0.3× 19 1.4k
Weiye Zheng China 22 1.6k 1.1× 919 1.1× 59 0.4× 59 0.5× 68 0.7× 45 1.7k
Nahid‐Al Masood Bangladesh 19 1.4k 0.9× 851 1.0× 36 0.2× 88 0.8× 81 0.8× 40 1.6k
James A. Momoh United States 15 1.2k 0.8× 702 0.8× 61 0.4× 121 1.1× 29 0.3× 65 1.4k
Kaveh Dehghanpour United States 17 1.2k 0.8× 715 0.8× 93 0.6× 88 0.8× 53 0.5× 37 1.3k
Ehsan Naderi United States 22 1.4k 0.9× 869 1.0× 127 0.9× 133 1.2× 21 0.2× 55 1.6k

Countries citing papers authored by Marco Pau

Since Specialization
Citations

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

Fields of papers citing papers by Marco Pau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Pau

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Pau. A scholar is included among the top collaborators of Marco Pau 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 Pau. Marco Pau 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.
Pau, Marco, et al.. (2024). A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 1 indexed citations
2.
Pacheco, D., et al.. (2023). Optimal Meter Placement for Distribution System State Estimation: A Global Sensitivity Analysis-Based Framework. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 1 indexed citations
3.
Pau, Marco, et al.. (2023). A Backward–Forward Sweep Algorithm for Distribution System State Estimation. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 9 indexed citations
4.
Pau, Marco, et al.. (2022). MATRYCS—A Big Data Architecture for Advanced Services in the Building Domain. Energies. 15(7). 2568–2568. 23 indexed citations
5.
Pau, Marco, Ferdinanda Ponci, Antonello Monti, Carlo Muscas, & Paolo Attilio Pegoraro. (2022). Distributed State Estimation for Multi-Feeder Distribution Grids. SHILAP Revista de lepidopterología. 1. 1–12. 9 indexed citations
6.
Pau, Marco, et al.. (2021). Analysis of a Multi-Timescale Framework for the Voltage Control of Active Distribution Grids. Energies. 14(7). 1965–1965. 5 indexed citations
7.
Zhao, Junbo, et al.. (2021). Decentralized robust state estimation for hybrid AC/DC distribution systems with smart meters. International Journal of Electrical Power & Energy Systems. 136. 107656–107656. 13 indexed citations
8.
Estebsari, Abouzar, Enrico Pons, Marco Pau, et al.. (2021). A Smart Meter Infrastructure for Smart Grid IoT Applications. IEEE Internet of Things Journal. 9(14). 12529–12541. 84 indexed citations
9.
Pau, Marco, Ferdinanda Ponci, Antonello Monti, et al.. (2021). An Augmented Branch Current Formulation for State Estimation in Distribution Systems. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 2 indexed citations
10.
Pau, Marco, et al.. (2021). Impact of uncertainty sources on the voltage control of active distribution grids. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 6 indexed citations
11.
Muscas, Carlo, Paolo Attilio Pegoraro, Sara Sulis, et al.. (2020). New Kalman Filter Approach Exploiting Frequency Knowledge for Accurate PMU-Based Power System State Estimation. IEEE Transactions on Instrumentation and Measurement. 69(9). 6713–6722. 34 indexed citations
12.
Wei, Zhinong, et al.. (2019). Robust Ensemble Kalman Filter for Medium-Voltage Distribution System State Estimation. IEEE Transactions on Instrumentation and Measurement. 69(7). 4114–4124. 38 indexed citations
13.
Pau, Marco, et al.. (2018). Optimal Scheduling of Electric Heat Pumps Combined with Thermal Storage for Power Peak Shaving. Padua Research Archive (University of Padova). 1–6. 14 indexed citations
14.
Wei, Zhinong, et al.. (2018). Interval State Estimation for Low-Voltage Distribution Systems Based on Smart Meter Data. IEEE Transactions on Instrumentation and Measurement. 68(9). 3090–3099. 30 indexed citations
15.
Angioni, Andrea, et al.. (2017). A Low Cost PMU to Monitor Distribution Grids. 1–6. 53 indexed citations
16.
Angioni, Andrea, et al.. (2017). Towards a global evaluation of uncertainty for the monitoring of distribution grids. RWTH Publications (RWTH Aachen).
17.
Pau, Marco, Edoardo Patti, Luca Barbierato, et al.. (2017). A cloud-based smart metering infrastructure for distribution grid services and automation. Sustainable Energy Grids and Networks. 15. 14–25. 75 indexed citations
18.
Pau, Marco, Edoardo Patti, Luca Barbierato, et al.. (2016). Low voltage system state estimation based on smart metering infrastructure. Research Open (London South Bank University). 1–6. 28 indexed citations
19.
Pau, Marco, et al.. (2016). A state estimation algorithm for hybrid AC/DC networks with multi-terminal DC grid. 1–6. 10 indexed citations
20.
Pau, Marco, Paolo Attilio Pegoraro, & Sara Sulis. (2015). Performance of three-phase WLS distribution system state estimation approaches. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–6. 39 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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