Alina Walch

429 total citations
16 papers, 320 citations indexed

About

Alina Walch is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Alina Walch has authored 16 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Alina Walch's work include Solar Radiation and Photovoltaics (7 papers), Building Energy and Comfort Optimization (5 papers) and Integrated Energy Systems Optimization (3 papers). Alina Walch is often cited by papers focused on Solar Radiation and Photovoltaics (7 papers), Building Energy and Comfort Optimization (5 papers) and Integrated Energy Systems Optimization (3 papers). Alina Walch collaborates with scholars based in Switzerland, United Kingdom and Canada. Alina Walch's co-authors include Nahid Mohajeri, Jean‐Louis Scartezzini, Roberto Castello, Ágúst Guðmundsson, M. Patel, Jonathan Chambers, Selin Yılmaz, Martin Rüdisüli, Mikhaïl Kanevski and Federico Amato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy.

In The Last Decade

Alina Walch

15 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alina Walch Switzerland 8 141 114 113 103 97 16 320
Youness El Mghouchi Morocco 13 222 1.6× 240 2.1× 185 1.6× 135 1.3× 171 1.8× 24 568
Alan Pino Chile 9 258 1.8× 156 1.4× 156 1.4× 83 0.8× 103 1.1× 15 456
Didier Thévenard Canada 10 204 1.4× 222 1.9× 82 0.7× 117 1.1× 65 0.7× 19 461
Kai Mainzer Germany 9 131 0.9× 154 1.4× 95 0.8× 217 2.1× 103 1.1× 16 490
Martin Thebault France 10 53 0.4× 104 0.9× 117 1.0× 50 0.5× 131 1.4× 22 294
S. Kaseb Egypt 9 176 1.2× 206 1.8× 72 0.6× 130 1.3× 41 0.4× 14 416
Fujian Jiang China 13 146 1.0× 90 0.8× 154 1.4× 33 0.3× 162 1.7× 27 368
Muhammad Asim Pakistan 12 177 1.3× 114 1.0× 30 0.3× 141 1.4× 39 0.4× 33 443
Giorgio Belluardo Italy 10 380 2.7× 252 2.2× 71 0.6× 185 1.8× 33 0.3× 23 514

Countries citing papers authored by Alina Walch

Since Specialization
Citations

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

Fields of papers citing papers by Alina Walch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina Walch

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

All Works

16 of 16 papers shown
1.
Zhang, Xiaojin, Alina Walch, Martin Rüdisüli, et al.. (2024). Evaluating the levelized costs and life cycle greenhouse gas emissions of electricity generation from rooftop solar photovoltaics: a Swiss case study. SHILAP Revista de lepidopterología. 4(4). 45002–45002.
2.
Walch, Alina & Martin Rüdisüli. (2023). Strategic PV expansion and its impact on regional electricity self-sufficiency: Case study of Switzerland. Applied Energy. 346. 121262–121262. 15 indexed citations
3.
Mohajeri, Nahid, Alina Walch, Alison Smith, et al.. (2023). A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom. Sustainable Cities and Society. 92. 104451–104451. 3 indexed citations
4.
Amato, Federico, et al.. (2022). Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential. Stochastic Environmental Research and Risk Assessment. 36(8). 2049–2069. 12 indexed citations
5.
Walch, Alina, Jonathan Chambers, Nahid Mohajeri, et al.. (2022). Shallow geothermal energy potential for heating and cooling of buildings with regeneration under climate change scenarios. Energy. 244. 123086–123086. 59 indexed citations
6.
Walch, Alina, et al.. (2022). Optimal spatial resource allocation in networks: Application to district heating and cooling. Computers & Industrial Engineering. 171. 108448–108448. 6 indexed citations
7.
Mohajeri, Nahid, Alina Walch, Ágúst Guðmundsson, et al.. (2021). Covid-19 mobility restrictions: impacts on urban air quality and health. SHILAP Revista de lepidopterología. 2(1). 759–759. 6 indexed citations
8.
Castello, Roberto, et al.. (2021). Quantification of the suitable rooftop area for solar panel installation from overhead imagery using Convolutional Neural Networks. Journal of Physics Conference Series. 2042(1). 12002–12002. 5 indexed citations
9.
Walch, Alina, Martin Rüdisüli, Roberto Castello, & Jean‐Louis Scartezzini. (2021). Quantification of existing rooftop PV hourly generation capacity and validation against measurement data. Journal of Physics Conference Series. 2042(1). 12011–12011. 3 indexed citations
10.
Amato, Federico, et al.. (2021). Wind of change: predicting wind potentials for the energy transition. 1 indexed citations
11.
Walch, Alina, Roberto Castello, Nahid Mohajeri, Ágúst Guðmundsson, & Jean‐Louis Scartezzini. (2021). Using Machine Learning to estimate the technical potential of shallow ground-source heat pumps with thermal interference. Journal of Physics Conference Series. 2042(1). 12010–12010. 5 indexed citations
12.
Walch, Alina, Roberto Castello, Nahid Mohajeri, & Jean‐Louis Scartezzini. (2020). Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty. Applied Energy. 262. 114404–114404. 132 indexed citations
13.
Walch, Alina, Nahid Mohajeri, Ágúst Guðmundsson, & Jean‐Louis Scartezzini. (2020). Quantifying the technical geothermal potential from shallow borehole heat exchangers at regional scale. Renewable Energy. 165. 369–380. 43 indexed citations
14.
Walch, Alina, Nahid Mohajeri, & Jean‐Louis Scartezzini. (2019). A critical comparison of methods to estimate solar rooftop photovoltaic potential in Switzerland. Journal of Physics Conference Series. 1343(1). 12035–12035. 8 indexed citations
15.
Walch, Alina, et al.. (2019). Spatio-temporal modelling and uncertainty estimation of hourly global solar irradiance using Extreme Learning Machines. Energy Procedia. 158. 6378–6383. 11 indexed citations
16.
Walch, Alina, Roberto Castello, Nahid Mohajeri, & Jean‐Louis Scartezzini. (2019). A Fast Machine Learning Model for Large-Scale Estimation of Annual Solar Irradiation on Rooftops. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–10. 11 indexed citations

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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