David Biagioni

428 total citations
19 papers, 247 citations indexed

About

David Biagioni is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, David Biagioni has authored 19 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in David Biagioni's work include Smart Grid Energy Management (5 papers), Optimal Power Flow Distribution (4 papers) and Smart Grid Security and Resilience (2 papers). David Biagioni is often cited by papers focused on Smart Grid Energy Management (5 papers), Optimal Power Flow Distribution (4 papers) and Smart Grid Security and Resilience (2 papers). David Biagioni collaborates with scholars based in United States. David Biagioni's co-authors include Peter Gräf, Xiangyu Zhang, Ahmed S. Zamzam, Jennifer King, Jeffrey Law, Peter C. St. John, Wesley Jones, Hongyu Wu, Robert S. Paton and Elaine Hale and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Smart Grid and Progress in Photovoltaics Research and Applications.

In The Last Decade

David Biagioni

19 papers receiving 241 citations

Peers

David Biagioni
Comparison fields: 5 of 69
  • Electrical and Electronic Engineering 149
  • Control and Systems Engineering 87
  • Materials Chemistry 34
  • Computational Theory and Mathematics 32
  • Renewable Energy, Sustainability and the Environment 23
Lin Niu China
Mingshuai Chen China
Yann‐Chang Huang Taiwan
Haitao Wang China
Yulei Sun United States
M. R. Aghaebrahimi Iran
Jianping Liu China
Shuai Liang China
Lin Niu China View profile →
Citations per field, relative to David Biagioni
David Biagioni · 1×
Citations per year, relative to David Biagioni
David Biagioni · 1×

Countries citing papers authored by David Biagioni

Since Specialization
Citations

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

Fields of papers citing papers by David Biagioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Biagioni

This figure shows the co-authorship network connecting the top 25 collaborators of David Biagioni. A scholar is included among the top collaborators of David Biagioni 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 David Biagioni. David Biagioni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 5
3 1
4 54
5 18
6 13
7 1
8 1
9 4
10 3
11 36
12 1
13 18
14 52
15 14
16 4
17
Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations
3
18 4
19 14

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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