Pio Lombardi

1.8k citations
65 papers · 1.3k indexed · h-index 21
Topics
Smart Grid Energy Management (32 papers)Microgrid Control and Optimization (20 papers)Integrated Energy Systems Optimization (19 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyRenewable Energy
Partner nations
GermanyItalyRussia

In The Last Decade

Pio Lombardi

60 papers receiving 1.3k citations

Peers

Pio Lombardi
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 1.1k
  • Control and Systems Engineering 540
  • Automotive Engineering 280
  • Energy Engineering and Power Technology 230
  • Renewable Energy, Sustainability and the Environment 131
Replace Yuechuan Tao with:
Yuechuan Tao Australia
Maria Dicorato Italy
Rohit Bhakar India
Suyang Zhou China
Pengfei Zhao China
Mahdi Pourakbari‐Kasmaei Finland
Tomislav Capuder Croatia
Bishoy E. Sedhom Egypt
José Pablo Chaves Ávila Spain
Chengcheng Shao China
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Citations per field
00.5×10×20×26.7×
Yuechuan Tao · 1×
Citations per year

Countries citing papers authored by Pio Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Pio Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pio Lombardi

This figure shows the co-authorship network connecting the top 25 collaborators of Pio Lombardi. A scholar is included among the top collaborators of Pio Lombardi 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 Pio Lombardi. Pio Lombardi 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
#WorkIndexed citations
1 1
2 5
3 0
4 7
5 0
6 7
7 16
8 20
9 7
10 3
11 41
12 4
13 31
14 4
15 8
16
Microgrid Evolution Roadmap Engineering, Economics, and Experience
11
17 21
18 119
19
Optimised autonomous power system
2
20
Electric Energy Storage and its tasks in the integration of wide-scale renewable resources
44

About Pio Lombardi

Pio Lombardi is a scholar working on Energy Engineering and Power Technology, General Energy and Automotive Engineering, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Grid Energy Management (32 papers), Microgrid Control and Optimization (20 papers) and Integrated Energy Systems Optimization (19 papers). The work is most often cited by research in Energy Engineering and Power Technology (230 citations), Control and Systems Engineering (540 citations) and Automotive Engineering (280 citations). Pio Lombardi has collaborated with scholars based in Germany, Italy and Russia. Frequent co-authors include Zbigniew A. Styczynski, Konstantin Suslov, Przemysław Komarnicki, Krzysztof Rudion, Bartłomiej Arendarski, P. Komarnicki, N.I. Voropai, Spyros Chatzivasileiadis, Reza Iravani and Jan von Appen. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Renewable Energy.

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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