Luca Massidda

28 papers receiving 365 citations

Peers

Luca Massidda
Comparison fields: 5 of 45
  • Renewable Energy, Sustainability and the Environment 122
  • Energy Engineering and Power Technology 16
  • Artificial Intelligence 164
  • Electrical and Electronic Engineering 286
  • Building and Construction 57
Replace Raphael Nunes with:
Raphael Nunes Brazil
Ali Agga Morocco
Emre Akarslan Türkiye
Jiacong Cao China
Ladislav Zjavka Czechia
Keda Pan China
Lukas Nonnenmacher United States
Meftah Elsaraiti Canada
Alfredo Nespoli Italy
HyunJin Lee South Korea
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Citations per year

Countries citing papers authored by Luca Massidda

Since Specialization
Citations

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

Fields of papers citing papers by Luca Massidda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Massidda, 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 Luca Massidda Line = papers co-authored together Luca Massidda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201775
2 202072
3 202440
4 201835
5 202024
6 202320
7 202018
8 202214
9 201713
10 201812
11 20148
12
The spectral element method as an effective tool for solving large scale dynamic soil-structure interaction problems
20067
13 20176
14 20255
15
A numerical analysis of a high temperature solar collecting tube, using helium as an heat transfer fluid
20075
16 20224
17 20204
18 20223
19 20203
20
DESIGN OF THE LHC BEAM DUMP ENTRANCE WINDOW
20063

About Luca Massidda

Luca Massidda is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Building and Construction, Renewable Energy, Sustainability and the Environment and Aerospace Engineering, having authored 30 papers that have together received 386 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (8 papers), Solar Radiation and Photovoltaics (8 papers), Building Energy and Comfort Optimization (6 papers), Superconducting Materials and Applications (4 papers), Photovoltaic System Optimization Techniques (3 papers), Precipitation Measurement and Analysis (3 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (122 citations), Energy Engineering and Power Technology (16 citations), Artificial Intelligence (164 citations), Electrical and Electronic Engineering (286 citations) and Building and Construction (57 citations). Luca Massidda has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Marino Marrocu, Fabio Bettio, Andréa Pinna, Yacine Kadi, Marco Manca, Fabio Maggio, Roberto Paolucci, Katrien Van Tichelen, D. Lakehal and Diego Angeli. Their work appears in journals such as Energies, Solar Energy, Applied Sciences, Applied Energy and Nuclear Engineering and Design.

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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