Gábor Szőcs

98 total papers · 721 total citations
70 papers, 567 citations indexed

About

Gábor Szőcs is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Gábor Szőcs has authored 70 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Insect Science, 24 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Genetics. Recurrent topics in Gábor Szőcs's work include Insect Pheromone Research and Control (42 papers), Insect and Pesticide Research (32 papers) and Insect-Plant Interactions and Control (29 papers). Gábor Szőcs is often cited by papers focused on Insect Pheromone Research and Control (42 papers), Insect and Pesticide Research (32 papers) and Insect-Plant Interactions and Control (29 papers). Gábor Szőcs collaborates with scholars based in Hungary, Germany and Sweden. Gábor Szőcs's co-authors include Miklós Tóth, Wittko Francke, Béla Péter Molnár, Zsolt Kárpáti, Patrick M. Guérin, Lajos Novák, H. Arn, P. Esbjerg, R. Buès and Stefan Rauscher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agriculture Ecosystems & Environment and Tetrahedron Letters.

In The Last Decade

Gábor Szőcs

66 papers receiving 532 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gábor Szőcs 495 198 133 97 93 70 567
J. A. Coffelt 533 1.1× 186 0.9× 188 1.4× 89 0.9× 284 3.1× 40 695
S. Gothilf 509 1.0× 138 0.7× 126 0.9× 52 0.5× 177 1.9× 41 563
K. S. S. Nair 352 0.7× 147 0.7× 102 0.8× 164 1.7× 259 2.8× 75 606
C. Wall 581 1.2× 218 1.1× 201 1.5× 123 1.3× 168 1.8× 32 683
Jiří Kindl 341 0.7× 275 1.4× 210 1.6× 49 0.5× 51 0.5× 34 589
Fumiaki Mochizuki 452 0.9× 243 1.2× 137 1.0× 79 0.8× 67 0.7× 44 499
Yoshiharu Matsumoto 412 0.8× 191 1.0× 108 0.8× 89 0.9× 191 2.1× 44 546
Jun Tabata 479 1.0× 222 1.1× 122 0.9× 48 0.5× 196 2.1× 59 671
J. Weatherston 369 0.7× 147 0.7× 203 1.5× 124 1.3× 54 0.6× 41 595
Charlotte L. Fatland 482 1.0× 212 1.1× 358 2.7× 95 1.0× 119 1.3× 33 657

Countries citing papers authored by Gábor Szőcs

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Szőcs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Szőcs

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Szőcs. A scholar is included among the top collaborators of Gábor Szőcs 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 Gábor Szőcs. Gábor Szőcs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026