Péter Lukács

537 citations
55 papers · 372 · h-index 11

Impact in

Papers in

Péter Lukács

48 papers receiving 360 citations

Peers

Péter Lukács
Comparison fields: 5 of 94
  • Automotive Engineering 55
  • Cellular and Molecular Neuroscience 53
  • Biomedical Engineering 117
  • Pollution 29
  • Electrical and Electronic Engineering 141
Replace David C. Burnett with:
David C. Burnett United States
Chunlong Tu China
A. D. Shaligram India
Han-Jin Lee South Korea
Yeongmin Kim South Korea
Mattia Petrelli Italy
Do Hyeon Kim South Korea
Wenli Zhou China
Maurice Whelan Italy
Tzu-Yi Yang Taiwan
Péter Lukács relative to David C. Burnett United States David C. Burnett's profile →
Citations per field
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David C. Burnett · 1×
Citations per year

Countries citing papers authored by Péter Lukács

Since Specialization
Citations

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

Fields of papers citing papers by Péter Lukács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201040
3 201031
4 200026
5 202221
6 202215
7 201813
8 201812
9 201712
10 202111
11 201710
12 199710
13 201810
14 20168
15 20178
16 20217
17
Influence of different pre-emergent herbicides on the growth of soybean varieties.
20006
18 19956
19 20156
20 20156

About Péter Lukács

Péter Lukács is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 372 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (13 papers), Nanomaterials and Printing Technologies (10 papers), Ion channel regulation and function (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Antenna Design and Analysis (5 papers), Nanofabrication and Lithography Techniques (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Automotive Engineering (55 citations), Cellular and Molecular Neuroscience (53 citations), Biomedical Engineering (117 citations), Pollution (29 citations) and Electrical and Electronic Engineering (141 citations). Péter Lukács has collaborated with scholars based in Slovakia, Hungary and Poland. Frequent co-authors include Alena Pietriková, Árpád Mike, Beáta Ballóková, Morten Sunesen, Éva Lehoczky, J Pekárek, László Fodor, E. Sylvester Vizi, Martin Fides and Róbert Károly. Their work appears in journals such as Current Molecular Pharmacology, Scientific Reports, Zeitschrift für Physik B Condensed Matter, Frontiers in Pharmacology and PLoS ONE.

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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