Federico Bava

409 citations
17 papers · 334 · h-index 9

Impact in

Papers in

Federico Bava

17 papers receiving 327 citations

Peers

Federico Bava
Comparison fields: 5 of 31
  • Renewable Energy, Sustainability and the Environment 276
  • Energy Engineering and Power Technology 21
  • Building and Construction 73
  • Mechanical Engineering 155
  • Artificial Intelligence 50
Replace Yakai Bai with:
Yakai Bai China
P.A. Rodríguez-Aumente Spain
Miriam Ebert Germany
M.C. Rodríguez-Hidalgo Spain
Wenke Fan Australia
Jihuan Xu United Kingdom
Thomas Fasquelle France
Ali Khalid Shaker Al-Sayyab Iraq
Charles F. Kutscher United States
Mohd Faizal Fauzan Malaysia
Federico Bava relative to Yakai Bai China Yakai Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Federico Bava

Since Specialization
Citations

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

Fields of papers citing papers by Federico Bava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Federico Bava, 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 Federico Bava Line = papers co-authored together Federico Bava links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201768
2 201753
3 201738
4 201735
5 201632
6 201423
7 201723
8 201520
9 201612
10 20158
11
District Heating and Cooling Networks Based on Decentralized Heat Pumps: Energy Efficiency and Reversibility at Affordable Costs
20185
12 20165
13 20155
14 20163
15
Modeling of solar collector fields for solar heating plants in district heating systems
20172
16 20161
17 20161

About Federico Bava

Federico Bava is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Computational Mechanics, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (16 papers), Photovoltaic System Optimization Techniques (7 papers), Heat Transfer Mechanisms (4 papers), Integrated Energy Systems Optimization (4 papers), Solar Radiation and Photovoltaics (3 papers), Heat Transfer and Optimization (2 papers), Heat Transfer and Boiling Studies (2 papers) and Spacecraft and Cryogenic Technologies (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (276 citations), Energy Engineering and Power Technology (21 citations), Building and Construction (73 citations), Mechanical Engineering (155 citations) and Artificial Intelligence (50 citations). Federico Bava has collaborated with scholars based in Denmark, Spain and Sweden. Frequent co-authors include Simon Furbo, Janne Dragsted, Mark Dannemand, Bengt Perers, Martin Andersen, Jianhua Fan, Chris Bales, Víctor Martínez-Moll, Weiqiang Kong and Zhiyong Tian. Their work appears in journals such as Solar Energy, Energy, Renewable Energy, International Journal of Energy Research and Energy Procedia.

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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