M. Innorta

604 citations
35 papers · 459 · h-index 11

Impact in

Papers in

M. Innorta

31 papers receiving 424 citations

Peers

M. Innorta
Comparison fields: 5 of 45
  • General Energy 10
  • Electrical and Electronic Engineering 393
  • Safety, Risk, Reliability and Quality 58
  • Control and Systems Engineering 143
  • Management Science and Operations Research 44
Replace Konrad Purchała with:
Konrad Purchała Belgium
Panagiotis Andrianesis Greece
Udi Helman United States
Xingwang Ma United States
Christophe Chevallier United States
Christos Dikaiakos Greece
T. Li United States
Jong-Ryul Won South Korea
Petter L. Skantze United States
D. Sun United States
M. Innorta relative to Konrad Purchała Belgium Konrad Purchała's profile →
Citations per field
00.5×1.5×
Konrad Purchała · 1×
Citations per year

Countries citing papers authored by M. Innorta

Since Specialization
Citations

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

Fields of papers citing papers by M. Innorta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside M. Innorta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Innorta Line = papers co-authored together M. Innorta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2 200254
3 198333
4 201028
5 200224
6 201222
7 198819
8 198617
9 198713
10 200912
11 199811
12 20078
13 20077
14 19997
15 20137
16 20067
17 19836
18 20096
19 20025
20 19835

About M. Innorta

M. Innorta is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment and Ocean Engineering, having authored 35 papers that have together received 459 indexed citations. Recurring topics across this work include Electric Power System Optimization (17 papers), Optimal Power Flow Distribution (15 papers), Smart Grid Energy Management (8 papers), Power System Optimization and Stability (7 papers), Risk and Portfolio Optimization (7 papers), Microgrid Control and Optimization (3 papers), Water resources management and optimization (3 papers) and Renewable energy and sustainable power systems (2 papers). The work is most often cited by research in General Energy (10 citations), Electrical and Electronic Engineering (393 citations), Safety, Risk, Reliability and Quality (58 citations), Control and Systems Engineering (143 citations) and Management Science and Operations Research (44 citations). M. Innorta has collaborated with scholars based in Italy. Frequent co-authors include P. Marannino, G.P. Granelli, M. Montagna, Maria Teresa Vespucci, F. Zanellini, P. Bresesti, Riccardo Vailati, Cristian Bovo, Alberto Berizzi and C. Sabelli. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IMA Journal of Management Mathematics, IEEE Transactions on Power Systems, Energy Economics and Optimization Letters.

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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