László Gál

419 citations
50 papers · 318 · h-index 10

Impact in

Papers in

    • Electronic Packaging and Soldering Technologies 27
    • Electrodeposition and Electroless Coatings 2
    • Low-power high-performance VLSI design 2
    • Fuzzy Logic and Control Systems 13
    • Neural Networks and Applications 5
    • Metaheuristic Optimization Algorithms Research 2

László Gál

47 papers receiving 303 citations

Peers

László Gál
Comparison fields: 5 of 32
  • Polymers and Plastics 49
  • Biomaterials 36
  • Electrical and Electronic Engineering 154
  • Artificial Intelligence 95
  • Waste Management and Disposal 13
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Jingyun Yang China
Akbar Ahmad India
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Citations per field
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Citations per year

Countries citing papers authored by László Gál

Since Specialization
Citations

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

Fields of papers citing papers by László Gál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside László Gál, 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 László Gál Line = papers co-authored together László Gál links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201628
2 200824
3 202423
4 200922
5 201017
6 201513
7 200911
8 201411
9 201511
10 202211
11 201310
12 20129
13 20149
14 20088
15 20138
16 20138
17 20227
18 20136
19 20196
20 20105

About László Gál

László Gál is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Polymers and Plastics, Waste Management and Disposal and Biomaterials, having authored 50 papers that have together received 318 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (27 papers), Fuzzy Logic and Control Systems (13 papers), Natural Fiber Reinforced Composites (6 papers), Neural Networks and Applications (5 papers), Recycling and Waste Management Techniques (3 papers), Electrodeposition and Electroless Coatings (2 papers), Low-power high-performance VLSI design (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Polymers and Plastics (49 citations), Biomaterials (36 citations), Electrical and Electronic Engineering (154 citations), Artificial Intelligence (95 citations) and Waste Management and Disposal (13 citations). László Gál has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include László Tamás Kóczy, Attila Géczy, Bálint Medgyes, János Botzheim, Bálint Ádám Kovács, Gergely Horváth, Gábor Harsányi, Balázs Illés, Imre J. Rudas and Róbert Kovács. Their work appears in journals such as Neural Computing and Applications, Sustainable materials and technologies, Active and Passive Electronic Components, Studies in computational intelligence and International Journal of Reasoning-based Intelligent Systems.

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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