Matteo Manganelli

61 total papers · 886 total citations
49 papers, 567 citations indexed

About

Matteo Manganelli is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Matteo Manganelli has authored 49 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 16 papers in Building and Construction. Recurrent topics in Matteo Manganelli's work include Smart Grid Energy Management (23 papers), Microgrid Control and Optimization (13 papers) and Building Energy and Comfort Optimization (13 papers). Matteo Manganelli is often cited by papers focused on Smart Grid Energy Management (23 papers), Microgrid Control and Optimization (13 papers) and Building Energy and Comfort Optimization (13 papers). Matteo Manganelli collaborates with scholars based in Italy, Pakistan and Singapore. Matteo Manganelli's co-authors include Luigi Martirano, Giuseppe Parise, Luigi Parise, Emanuele Habib, Seeram Ramakrishna, Intisar Ali Sajjad, Maria Carmen Falvo, Roberto Napoli, Gianfranco Chicco and Alessandro Soldati and has published in prestigious journals such as IEEE Transactions on Industry Applications, Sustainability and Energies.

In The Last Decade

Matteo Manganelli

47 papers receiving 548 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matteo Manganelli	385	180	129	101	82	49	567
Jens Hesselbach	251 0.7×	104 0.6×	134 1.0×	237 2.3×	34 0.4×	41	637
Tero Ahonen	317 0.8×	190 1.1×	51 0.4×	87 0.9×	36 0.4×	42	663
Andres Annuk	405 1.1×	225 1.3×	57 0.4×	94 0.9×	68 0.8×	74	609
Yuan Zhou	437 1.1×	169 0.9×	91 0.7×	94 0.9×	29 0.4×	33	647
Mohammad Esmaeil Nazari	371 1.0×	123 0.7×	51 0.4×	94 0.9×	32 0.4×	28	652
Christof Wittwer	471 1.2×	208 1.2×	156 1.2×	154 1.5×	83 1.0×	45	687
Mahmoud Kassas	278 0.7×	124 0.7×	44 0.3×	171 1.7×	41 0.5×	53	533
Francisco Mur	273 0.7×	135 0.8×	33 0.3×	73 0.7×	45 0.5×	36	516
Noman Shabbir	511 1.3×	132 0.7×	56 0.4×	73 0.7×	72 0.9×	62	652
Shiming Tian	393 1.0×	125 0.7×	41 0.3×	51 0.5×	41 0.5×	50	581

Countries citing papers authored by Matteo Manganelli

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Manganelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Manganelli

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

All Works

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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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