Dan Assouline

19 papers receiving 821 citations

Peers

Dan Assouline
Comparison fields: 5 of 71
  • Building and Construction 324
  • Environmental Engineering 324
  • Artificial Intelligence 376
  • Renewable Energy, Sustainability and the Environment 166
  • Global and Planetary Change 204
Replace Sara Freitas with:
Sara Freitas Portugal
Wanxiang Yao China
Siwei Lou China
Éric Duminil Germany
V. Geros Greece
Mattia Manni Norway
Kai Mainzer Germany
Geovanna Villacreses Ecuador
Alina Walch Switzerland
Kavan Javanroodi Sweden
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Citations per year

Countries citing papers authored by Dan Assouline

Since Specialization
Citations

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

Fields of papers citing papers by Dan Assouline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Dan Assouline, 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 Dan Assouline Line = papers co-authored together Dan Assouline links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016200
2 2016185
3 2018151
4 2017107
5 201963
6 201936
7 202225
8 201813
9 201712
10 201510
11 202210
12 20196
13 20175
14 20164
15 20234
16 20194
17
Neighbourhood morphology and solar irradiance in relation to urban climate
20153
18 20182
19
How street canyon configuration control the accessibility of solar energy potential: Implication for urban design
20161
20 20210

About Dan Assouline

Dan Assouline is a scholar working on Artificial Intelligence, Building and Construction, Global and Planetary Change, Environmental Engineering and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 841 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (8 papers), Building Energy and Comfort Optimization (6 papers), Impact of Light on Environment and Health (4 papers), Wind and Air Flow Studies (3 papers), Energy Load and Power Forecasting (3 papers), Land Use and Ecosystem Services (3 papers), Urban Heat Island Mitigation (3 papers) and Geothermal Energy Systems and Applications (2 papers). The work is most often cited by research in Building and Construction (324 citations), Environmental Engineering (324 citations), Artificial Intelligence (376 citations), Renewable Energy, Sustainability and the Environment (166 citations) and Global and Planetary Change (204 citations). Dan Assouline has collaborated with scholars based in Switzerland, United Kingdom and Canada. Frequent co-authors include Nahid Mohajeri, Jean‐Louis Scartezzini, Ágúst Guðmundsson, Govinda Upadhyay, Jérôme Henri Kämpf, Marie‐Annick Le Pogam, Isabelle Peytremann‐Bridevaux, Laurence Seematter‐Bagnoud, Valentin Rousson and Bernard Burnand. Their work appears in journals such as Renewable Energy, Applied Energy, EClinicalMedicine, European Journal of Public Health and Sustainable Cities and Society.

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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