M. Scutariu

34 total papers · 845 total citations
24 papers, 700 citations indexed

About

M. Scutariu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, M. Scutariu has authored 24 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 5 papers in Signal Processing. Recurrent topics in M. Scutariu's work include Time Series Analysis and Forecasting (5 papers), Wind Energy Research and Development (4 papers) and Smart Grid Energy Management (4 papers). M. Scutariu is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Wind Energy Research and Development (4 papers) and Smart Grid Energy Management (4 papers). M. Scutariu collaborates with scholars based in Italy, Romania and United Kingdom. M. Scutariu's co-authors include Gianfranco Chicco, Roberto Napoli, P. Postolache, C. Toader, Federico Piglione, Enrico Carpaneto, K.S. Smith, Ettore Bompard, George Cristian Lăzăroiu and Virgil Dumbravă and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery and International Journal of Electrical Power & Energy Systems.

In The Last Decade

M. Scutariu

23 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
M. Scutariu 568 135 127 121 81 24 700
Runhai Jiao 466 0.8× 306 2.3× 118 0.9× 149 1.2× 54 0.7× 39 844
Hai‐Kun Wang 373 0.7× 220 1.6× 56 0.4× 90 0.7× 32 0.4× 31 625
Ioannis C. Konstantakopoulos 410 0.7× 110 0.8× 32 0.3× 338 2.8× 112 1.4× 24 752
Federico Piglione 724 1.3× 182 1.3× 146 1.1× 136 1.1× 123 1.5× 28 909
Mohsen Mohammadi 576 1.0× 153 1.1× 24 0.2× 204 1.7× 78 1.0× 19 817
Íñigo Monedero 556 1.0× 180 1.3× 32 0.3× 211 1.7× 100 1.2× 25 800
Usman Zafar 343 0.6× 110 0.8× 27 0.2× 226 1.9× 56 0.7× 33 624
Xiangyu Zhang 432 0.8× 107 0.8× 33 0.3× 225 1.9× 158 2.0× 62 693
Félix Biscarri 515 0.9× 166 1.2× 29 0.2× 200 1.7× 112 1.4× 26 762
Kuang‐Rong Shih 738 1.3× 189 1.4× 26 0.2× 180 1.5× 63 0.8× 10 810

Countries citing papers authored by M. Scutariu

Since Specialization
Citations

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

Fields of papers citing papers by M. Scutariu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Scutariu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Scutariu. A scholar is included among the top collaborators of M. Scutariu 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 M. Scutariu. M. Scutariu 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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