G. Újvári

685 citations
25 papers · 559 · h-index 11

Impact in

Papers in

G. Újvári

25 papers receiving 544 citations

Peers

G. Újvári
Comparison fields: 5 of 37
  • Renewable Energy, Sustainability and the Environment 215
  • Electrical and Electronic Engineering 347
  • Environmental Engineering 68
  • Industrial and Manufacturing Engineering 42
  • Polymers and Plastics 34
Replace Arnaud Morlier with:
Arnaud Morlier Germany
Rita Ebner Austria
Yuliya Voronko Austria
M. Halwachs Austria
Bernhard Kubicek Austria
Antonia Omazic Austria
Iris Kunze Germany
Choukri Messaoudi Morocco
Igor I. Tyukhov Ukraine
Karl Berger Austria
G. Újvári relative to Arnaud Morlier Germany Arnaud Morlier's profile →
Citations per field
00.5×1.5×1.8×
Arnaud Morlier · 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 2020122
2 201766
3 201761
4 201345
5 201844
6 202140
7 201838
8 201831
9 201028
10 201323
11 201522
12 20085
13 20215
14 20235
15 20074
16 20194
17 20053
18 20243
19 20112
20 20152

About G. Újvári

G. Újvári is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry, Mechanics of Materials and Artificial Intelligence, having authored 25 papers that have together received 559 indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (15 papers), Photovoltaic System Optimization Techniques (5 papers), Solar Thermal and Photovoltaic Systems (4 papers), High voltage insulation and dielectric phenomena (3 papers), Power Transformer Diagnostics and Insulation (2 papers), Thermography and Photoacoustic Techniques (2 papers), Solar Radiation and Photovoltaics (2 papers) and Chalcogenide Semiconductor Thin Films (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (215 citations), Electrical and Electronic Engineering (347 citations), Environmental Engineering (68 citations), Industrial and Manufacturing Engineering (42 citations) and Polymers and Plastics (34 citations). G. Újvári has collaborated with scholars based in Austria, Cyprus and Kuwait. Frequent co-authors include Rita Ebner, Gabriele Christine Eder, Yuliya Voronko, W. Mühleisen, Christina Hirschl, Lukas Neumaier, Bernhard Kubicek, Antonia Omazic, Gernot Oreški and Shokufeh Zamini. Their work appears in journals such as Renewable Energy, Progress in Photovoltaics Research and Applications, Journal of Materials Science, Solar Energy 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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