I. Bertini

438 citations
14 papers · 341 · h-index 7

Impact in

Papers in

I. Bertini

13 papers receiving 328 citations

Peers

I. Bertini
Comparison fields: 5 of 45
  • Automotive Engineering 208
  • Electrical and Electronic Engineering 269
  • Energy Engineering and Power Technology 14
  • Control and Systems Engineering 98
  • Building and Construction 32
Replace N. Shaukat with:
N. Shaukat Pakistan
Lucía Igualada Spain
Behnam Khaki United States
Sıtkı Güner Türkiye
Rasha Elazab Egypt
Yu-Wei Chung United States
Alper Çiçek Türkiye
K. Prakash Australia
George Fernandez Savari India
Javier Rodríguez-García Spain
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Citations per field
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Citations per year

Countries citing papers authored by I. Bertini

Since Specialization
Citations

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

Fields of papers citing papers by I. Bertini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside I. Bertini, 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 I. Bertini Line = papers co-authored together I. Bertini links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014221
2 201029
3 201826
4 201517
5 201315
6 20157
7
EVOLUTIONARY FEED-FORWARD NEURAL NETWORKS FOR TRAFFIC PREDICTION
20036
8
Evolving complex neural networks
20075
9 20114
10 20134
11
[Public food service in Milan city and Hinterland: food-handlers training level (Part 2)].
20053
12
Start-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms
20102
13 20092
14 20240

About I. Bertini

I. Bertini is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Automotive Engineering and Building and Construction, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (4 papers), Neural Networks and Applications (4 papers), Smart Grid Energy Management (4 papers), Advanced Control Systems Optimization (4 papers), Advanced Battery Technologies Research (3 papers), Fuzzy Logic and Control Systems (2 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (2 papers) and Management, Economics, and Public Policy (1 paper). The work is most often cited by research in Automotive Engineering (208 citations), Electrical and Electronic Engineering (269 citations), Energy Engineering and Power Technology (14 citations), Control and Systems Engineering (98 citations) and Building and Construction (32 citations). I. Bertini has collaborated with scholars based in Italy, Spain and Brazil. Frequent co-authors include Luigi Martirano, Danilo Sbordone, Biagio Di Pietra, Maria Carmen Falvo, Antonino Genovese, Stefano Pizzuti, Gianluca Ippoliti, Sauro Longhi, Andrea Giantomassi and Laura Canale. Their work appears in journals such as Energy and Buildings, Logic Journal of IGPL, Journal of Process Control, Journal of Network and Computer Applications and Electric Power Systems Research.

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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