M. Halwachs

410 total citations
8 papers, 330 citations indexed

About

M. Halwachs is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M. Halwachs has authored 8 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Renewable Energy, Sustainability and the Environment, 4 papers in Environmental Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in M. Halwachs's work include Photovoltaic System Optimization Techniques (6 papers), Photovoltaic Systems and Sustainability (4 papers) and Silicon and Solar Cell Technologies (4 papers). M. Halwachs is often cited by papers focused on Photovoltaic System Optimization Techniques (6 papers), Photovoltaic Systems and Sustainability (4 papers) and Silicon and Solar Cell Technologies (4 papers). M. Halwachs collaborates with scholars based in Austria, Netherlands and Italy. M. Halwachs's co-authors include Lukas Neumaier, Gabriele C. Eder, C. Hirschl, Antonia Omazic, Matko Erceg, Gernot Oreški, Gerald Pinter, Yuliya Voronko, Karl Berger and Rita Ebner and has published in prestigious journals such as Renewable Energy, Solar Energy and Solar Energy Materials and Solar Cells.

In The Last Decade

M. Halwachs

8 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Halwachs Austria 5 239 146 99 66 36 8 330
Stefan Wiesmeier Germany 4 322 1.3× 204 1.4× 67 0.7× 151 2.3× 26 0.7× 7 424
Shashwata Chattopadhyay India 12 405 1.7× 277 1.9× 143 1.4× 107 1.6× 67 1.9× 25 513
Pramod Rajput India 10 307 1.3× 207 1.4× 113 1.1× 90 1.4× 62 1.7× 18 422
Rajiv Dubey India 10 334 1.4× 207 1.4× 106 1.1× 87 1.3× 63 1.8× 20 396
Romênia G. Vieira Brazil 8 274 1.1× 219 1.5× 53 0.5× 148 2.2× 21 0.6× 12 427
Yusuf N. Chanchangi United Kingdom 8 368 1.5× 177 1.2× 167 1.7× 175 2.7× 75 2.1× 10 515
B. Hammond United States 5 287 1.2× 165 1.1× 83 0.8× 185 2.8× 56 1.6× 9 434
Carlos A. F. Fernandes Portugal 14 289 1.2× 335 2.3× 65 0.7× 74 1.1× 35 1.0× 50 510
F.J. Vorster South Africa 11 309 1.3× 220 1.5× 49 0.5× 109 1.7× 47 1.3× 29 381
Hasnain Yousuf South Korea 9 187 0.8× 207 1.4× 83 0.8× 52 0.8× 28 0.8× 52 349

Countries citing papers authored by M. Halwachs

Since Specialization
Citations

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

Fields of papers citing papers by M. Halwachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Halwachs

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

All Works

8 of 8 papers shown
1.
Halwachs, M., Lukas Neumaier, Yuliya Voronko, et al.. (2019). Statistical evaluation of PV system performance and failure data among different climate zones. Renewable Energy. 139. 1040–1060. 63 indexed citations
2.
Galleano, Roberto, Diego Pavanello, Willem Zaaiman, et al.. (2019). Spectroradiometer Comparison under Outdoor Direct Normal Irradiance and Indoor High-Power AM0-Like Conditions. EU PVSEC. 1 indexed citations
3.
Eder, Gabriele C., Yuliya Voronko, G. Újvári, et al.. (2018). Climate specific accelerated ageing tests and evaluation of ageing induced electrical, physical, and chemical changes. Progress in Photovoltaics Research and Applications. 27(11). 934–949. 40 indexed citations
4.
Belluardo, Giorgio, Roberto Galleano, Willem Zaaiman, et al.. (2018). Are the spectroradiometers used by the PV community ready to accurately measure the classification of solar simulators in a broader wavelength range?. Solar Energy. 173. 558–565. 4 indexed citations
5.
Omazic, Antonia, Gernot Oreški, M. Halwachs, et al.. (2018). Relation between degradation of polymeric components in crystalline silicon PV module and climatic conditions: A literature review. Solar Energy Materials and Solar Cells. 192. 123–133. 185 indexed citations
6.
Halwachs, M., Karl Berger, Lukas Neumaier, et al.. (2017). Descriptive Statistics on the Climate Related Performance and Reliability Issues from Global PV Installations. EU PVSEC. 2370–2374. 4 indexed citations
7.
Galleano, Roberto, Willem Zaaiman, Diego Alonso‐Álvarez, et al.. (2016). Results of the Fifth International Spectroradiometer Comparison for Improved Solar Spectral Irradiance Measurements and Related Impact on Reference Solar Cell Calibration. IEEE Journal of Photovoltaics. 6(6). 1587–1597. 12 indexed citations
8.
Ebner, Rita, et al.. (2015). Optical Characterization of Different Thin Film Module Technologies. International Journal of Photoenergy. 2015. 1–12. 21 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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