Daniela Dirnberger

537 citations
17 papers · 438 · h-index 12

Impact in

Papers in

Daniela Dirnberger

17 papers receiving 427 citations

Peers

Daniela Dirnberger
Comparison fields: 5 of 41
  • Renewable Energy, Sustainability and the Environment 360
  • Artificial Intelligence 217
  • Electrical and Electronic Engineering 234
  • Environmental Engineering 51
  • Nuclear Energy and Engineering 1
Replace Willem Zaaiman with:
Willem Zaaiman Italy
Marcelo Pinho Almeida Brazil
H. Başak Yıldırım Türkiye
Diego Pavanello Italy
F. Díaz Spain
Tetsuyuki Ishii Japan
Giorgio Belluardo Italy
Felipe A. Mejia United States
F. Petito Italy
Vinay Gupta India
Daniela Dirnberger relative to Willem Zaaiman Italy Willem Zaaiman's profile →
Citations per field
00.5×10×14.5×
Willem Zaaiman · 1×
Citations per year

Countries citing papers authored by Daniela Dirnberger

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Dirnberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniela Dirnberger, 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 Daniela Dirnberger Line = papers co-authored together Daniela Dirnberger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014176
2 201339
3 201438
4 201537
5 201428
6 201019
7 201418
8 201215
9 201113
10 201213
11 201012
12 201711
13 20125
14 20115
15 20144
16 20113
17 20122

About Daniela Dirnberger

Daniela Dirnberger is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry and Pollution, having authored 17 papers that have together received 438 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (14 papers), Solar Thermal and Photovoltaic Systems (6 papers), solar cell performance optimization (6 papers), Silicon and Solar Cell Technologies (4 papers), Solar Radiation and Photovoltaics (4 papers), Chalcogenide Semiconductor Thin Films (2 papers), Energy Efficiency and Management (1 paper) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (360 citations), Artificial Intelligence (217 citations), Electrical and Electronic Engineering (234 citations), Environmental Engineering (51 citations) and Nuclear Energy and Engineering (1 citation). Daniela Dirnberger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Björn Müller, Christian Reise, Klaus H. Kiefer, N.H. Reich, Wolfgang Heydenreich, Anton Driesse, Harald Müllejans, Keith Emery, Yoshihiro Hishikawa and Alexander Goebel. Their work appears in journals such as IEEE Journal of Photovoltaics, Measurement Science and Technology, Solar Energy, Solar Energy Materials and Solar Cells and Progress in Photovoltaics Research and Applications.

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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