G. Újvári

24 papers receiving 481 citations

Peers

G. Újvári
Comparison fields: 5 of 49
  • Renewable Energy, Sustainability and the Environment 322
  • Environmental Engineering 119
  • Electrical and Electronic Engineering 297
  • Automotive Engineering 42
  • Industrial and Manufacturing Engineering 32
Replace Archana Sinha with:
Archana Sinha United States
Bernhard Kubicek Austria
S. Pingel Germany
J. Berghold Germany
Eric Schneller United States
Elyes Garoudja Algeria
T. Geipel Germany
Jonathan Govaerts Belgium
Michael Owen‐Bellini United States
Ulrich Eitner Germany
G. Újvári relative to Archana Sinha United States Archana Sinha's profile →
Citations per field
00.5×1.5×1.9×
Archana Sinha · 1×
Citations per year

Countries citing papers authored by G. Újvári

Since Specialization
Citations

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

Fields of papers citing papers by G. Újvári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Újvári, 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 G. Újvári Line = papers co-authored together G. Újvári links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020100
2 201756
3 201756
4 201342
5 201840
6 202135
7 201832
8 201831
9 201028
10 201521
11 201320
12 20215
13 20234
14 20074
15 20084
16 20194
17 20053
18 20242
19 20152
20 20112

About G. Újvári

G. Újvári is a scholar working on Renewable Energy, Sustainability and the Environment, Environmental Engineering, Electrical and Electronic Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 495 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (14 papers), Silicon and Solar Cell Technologies (11 papers), Photovoltaic Systems and Sustainability (6 papers), Solar Thermal and Photovoltaic Systems (4 papers), solar cell performance optimization (4 papers), High voltage insulation and dielectric phenomena (4 papers), Power Transformer Diagnostics and Insulation (3 papers) and Thermography and Photoacoustic Techniques (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (322 citations), Environmental Engineering (119 citations), Electrical and Electronic Engineering (297 citations), Automotive Engineering (42 citations) and Industrial and Manufacturing Engineering (32 citations). G. Újvári has collaborated with scholars based in Austria, United States and Cyprus. Frequent co-authors include Rita Ebner, Gabriele C. Eder, Yuliya Voronko, Christina Hirschl, Lukas Neumaier, W. Mühleisen, Bernhard Kubicek, Antonia Omazic, Gernot Oreški and Shokufeh Zamini. Their work appears in journals such as Progress in Photovoltaics Research and Applications, Renewable Energy, Energies, Solar Energy Materials and Solar Cells and Japanese Journal of Applied Physics.

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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