Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Multiobjective Evolutionary Algorithm for the Sizing and Siting of Distributed Generation
2005599 citationsGianni Celli, Emilio Ghiani et al.profile →
State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization
This map shows the geographic impact of Fabrizio Pilo'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 Fabrizio Pilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Pilo more than expected).
This network shows the impact of papers produced by Fabrizio Pilo. 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 Fabrizio Pilo. The network helps show where Fabrizio Pilo may publish in the future.
Co-authorship network of co-authors of Fabrizio Pilo
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Pilo.
A scholar is included among the top collaborators of Fabrizio Pilo 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 Fabrizio Pilo. Fabrizio Pilo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Celli, Gianni, et al.. (2011). A PROBABILISTIC FAULT ARC REIGNITION MODEL FOR MV DISTRIBUTION NETWORKS.3 indexed citations
14.
Pilo, Fabrizio, Gianni Celli, Giuditta Pisano, & Gian Giuseppe Soma. (2008). OPTIMAL PLANNING OF ACTIVE NETWORKS. UNICA IRIS Institutional Research Information System (University of Cagliari).30 indexed citations
15.
Muscas, Carlo, Fabrizio Pilo, Giuditta Pisano, & Sara Sulis. (2008). Optimal Location of Measurement Devices in Active Distribution Networks. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–8.2 indexed citations
16.
Muscas, Carlo, Fabrizio Pilo, Giuditta Pisano, & Sara Sulis. (2006). Optimal number and location of measurement instruments in distributed systems for harmonic state estimation. UNICA IRIS Institutional Research Information System (University of Cagliari). 13(1). 136–141.4 indexed citations
17.
Celli, Gianni, Fabrizio Pilo, & Giuditta Pisano. (2004). Optimal distribution network planning with stochastic assessment of voltage dips. 801–806.5 indexed citations
18.
Pilo, Fabrizio, Emilio Ghiani, & Gianni Celli. (2002). A Simulation Tool for Overvoltages Brought Inside a Building through Its Grounding System. UNICA IRIS Institutional Research Information System (University of Cagliari). 579–584.4 indexed citations
19.
Pilo, Fabrizio & Gianni Celli. (2000). EMTP Models for Current Distribution Evaluation in LPS for High and Low Buildings. UNICA IRIS Institutional Research Information System (University of Cagliari). 440–445.12 indexed citations
20.
Pilo, Fabrizio, et al.. (1998). Lightning protection of power systems: general design criteria achieved with EMTP simulations. UNICA IRIS Institutional Research Information System (University of Cagliari). 636–641.4 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.