M. Pozzi

868 citations
35 papers · 517 · h-index 10

Impact in

Papers in

M. Pozzi

32 papers receiving 491 citations

Peers

M. Pozzi
Comparison fields: 5 of 57
  • Control and Systems Engineering 276
  • Electrical and Electronic Engineering 412
  • Health Informatics 9
  • Safety, Risk, Reliability and Quality 53
  • Energy Engineering and Power Technology 18
Replace Bai Yan Cui with:
Bai Yan Cui United States
Joseph N. Wrubel United States
Jacques L. Carpentier France
Xuefeng Bai China
Vipul N. Rajput India
Hossein Bevrani Iran
Shaimaa Omran Egypt
Abel Sousa Portugal
Xiaorong Zhu China
J. B. Ward United States
M. Pozzi relative to Bai Yan Cui United States Bai Yan Cui's profile →
Citations per field
00.5×2×4×6.7×
Bai Yan Cui · 1×
Citations per year

Countries citing papers authored by M. Pozzi

Since Specialization
Citations

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

Fields of papers citing papers by M. Pozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Pozzi, 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. Pozzi Line = papers co-authored together M. Pozzi 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 2004177
2 200498
3 202329
4 202226
5 200421
6 200818
7 200317
8 200914
9 202414
10 200312
11 200510
12 20069
13
A Neuro-Fuzzy Inference System for the Evaluation of Voltage Collapse Risk Indices
20048
14 19967
15 20136
16 20056
17 19986
18 20045
19 20224
20 20024

About M. Pozzi

M. Pozzi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Transplantation and Statistical and Nonlinear Physics, having authored 35 papers that have together received 517 indexed citations. Recurring topics across this work include Power System Optimization and Stability (18 papers), Optimal Power Flow Distribution (9 papers), Power System Reliability and Maintenance (6 papers), Electric Power System Optimization (5 papers), Real-time simulation and control systems (4 papers), Model Reduction and Neural Networks (3 papers), Power Systems Fault Detection (3 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Control and Systems Engineering (276 citations), Electrical and Electronic Engineering (412 citations), Health Informatics (9 citations), Safety, Risk, Reliability and Quality (53 citations) and Energy Engineering and Power Technology (18 citations). M. Pozzi has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include S. Corsi, C. Sabelli, Andrea Serrani, Marino Sforna, Marco Merlo, Alberto Berizzi, Cristian Bovo, Maurizio Delfanti, C. Bruno and Paolo Marannino. Their work appears in journals such as IEEE Transactions on Power Systems, Scientific Reports, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Electric Power Systems Research and Respiratory Care.

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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