Fabio Riva

22 papers receiving 587 citations

Peers

Fabio Riva
Comparison fields: 5 of 72
  • Pollution 380
  • Electrical and Electronic Engineering 304
  • Energy Engineering and Power Technology 239
  • Renewable Energy, Sustainability and the Environment 96
  • Control and Systems Engineering 82
Replace Jacopo Barbieri with:
Jacopo Barbieri Italy
Parimita Mohanty India
Elias Hartvigsson Sweden
Edwin Adkins United States
Jon Leary United Kingdom
Peter Alstone United States
Sebastian Groh Germany
Chukwuma Leonard Azimoh South Africa
Shahriar Ahmed Chowdhury Bangladesh
Yekini Suberu Mohammed Nigeria
Fabio Riva relative to Jacopo Barbieri Italy Jacopo Barbieri's profile →
Citations per field
00.5×1.5×
Jacopo Barbieri · 1×
Citations per year

Countries citing papers authored by Fabio Riva

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Riva. A scholar is included among the top collaborators of Fabio Riva 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 Fabio Riva. Fabio Riva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 24
2 10
3 60
4 40
5 10
6
Modelling endogenous complexities in rural electrification. On the local dynamics of growth and the planning of off-grid systems
2
7 17
8 3
9 57
10 164
11 8
12 50
13 49
14 18
15 54
16 11
17
Feasibility Study of PV & Li-Ion Battery Based Micro-Grids for Bolivian Off-Grid Communities
2
18 12
19 2
20
Energy Technologies for Food Utilization for Displaced People: from identification to evaluation
1

About Fabio Riva

Fabio Riva is a scholar working on Energy Engineering and Power Technology, Pollution and Automotive Engineering, having authored 22 papers that have together received 610 indexed citations. Recurring topics across this work include Energy and Environment Impacts (20 papers), Hybrid Renewable Energy Systems (8 papers) and Smart Grid Energy Management (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (239 citations), Pollution (380 citations) and Business and International Management (27 citations). Fabio Riva has collaborated with scholars based in Italy, Sweden and Belgium. Frequent co-authors include Emanuela Colombo, Francesco Lombardi, Helene Ahlborg, Elias Hartvigsson, Shonali Pachauri, Francesco Gardumi, Jacopo Barbieri, Sylvain Quoilin, Carlo Piccardi and Matteo Vincenzo Rocco. Their work appears in journals such as Energy, Biomass and Bioenergy and Energies.

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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