G. Székely

6.1k total citations
47 papers, 543 citations indexed

About

G. Székely is a scholar working on Artificial Intelligence, Plant Science and Biomedical Engineering. According to data from OpenAlex, G. Székely has authored 47 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Plant Science and 7 papers in Biomedical Engineering. Recurrent topics in G. Székely's work include Advanced Chemical Sensor Technologies (6 papers), Neural Networks and Applications (6 papers) and Innovations in Aquaponics and Hydroponics Systems (4 papers). G. Székely is often cited by papers focused on Advanced Chemical Sensor Technologies (6 papers), Neural Networks and Applications (6 papers) and Innovations in Aquaponics and Hydroponics Systems (4 papers). G. Székely collaborates with scholars based in Hungary, Sweden and United States. G. Székely's co-authors include László Sípos, László Csambalik, László Balázs, Zoltán Kókai, Attila Gere, Sándor Kovács, András Jung, Thomas Lindblad, Clark S. Lindsey and Péter Radácsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nuclear Physics A.

In The Last Decade

G. Székely

42 papers receiving 523 citations

Peers

G. Székely
Comparison fields: 5 of 102
  • Plant Science 164
  • Insect Science 118
  • Social Psychology 84
  • Radiation 75
  • Nuclear and High Energy Physics 69
Replace Yohsuke Takahashi with:
Yohsuke Takahashi Japan
Carlos J. García–Orellana Spain
Horacio M. González–Velasco Spain
J. Chambers United Kingdom
Sarah J. Dixon United Kingdom
Rainer Künnemeyer New Zealand
Tatik Chikmawati Indonesia
Santosh Kumar Sahoo India
Tomislav Kos Croatia
Ricardo Arizaga Argentina
Yohsuke Takahashi Japan View profile →
Citations per field, relative to G. Székely
G. Székely · 1×
Citations per year, relative to G. Székely
G. Székely · 1×

Countries citing papers authored by G. Székely

Since Specialization
Citations

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

Fields of papers citing papers by G. Székely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Székely

This figure shows the co-authorship network connecting the top 25 collaborators of G. Székely. A scholar is included among the top collaborators of G. Székely based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Székely. G. Székely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 57
3 118
4
The symbolism of the linden tree.
1
5
Prunus trees in the parks of Timişoara
0
6
Hornbeam trees in the parks of Timisoara.
1
7
Small leaved and large leaved lime trees in the parks of Timisoara.
1
8
Analysis of mineral water consumption patterns and sensory evaluation of mineral waters
2
9
Design and qualification of the mechanisms for the ALADIN instrument
1
10 2
11 3
12 6
13 8
14 9
15 1
16 9
17 1
18 8
19
Effect of sex, breed type and method of wool removal on wool production of Angora rabbits.
1
20 0

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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