Gábor Szederkényi

About

Gábor Szederkényi is a scholar working on Control and Systems Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gábor Szederkényi has authored 120 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Control and Systems Engineering, 56 papers in Molecular Biology and 20 papers in Computational Theory and Mathematics. Recurrent topics in Gábor Szederkényi’s work include Gene Regulatory Network Analysis (50 papers), Advanced Control Systems Optimization (30 papers) and Metabolic Engineering and Synthetic Biology (18 papers). Gábor Szederkényi is often cited by papers focused on Gene Regulatory Network Analysis (50 papers), Advanced Control Systems Optimization (30 papers) and Metabolic Engineering and Synthetic Biology (18 papers). Gábor Szederkényi collaborates with scholars based in Hungary, Spain and Germany. Gábor Szederkényi's co-authors include Katalin M. Hangos, Antonio A. Alonso, J. Bokor, Julio R. Banga, Tamás Péni, Matthew D. Johnston, Irene Otero‐Muras, David Siegel, Erik Weyer and Gergely Röst and has published in prestigious journals such as Bioinformatics, PLoS ONE and Water Research.

In The Last Decade

Co-authorship network of co-authors of Gábor Szederkényi i

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Fields of papers citing papers by Gábor Szederkényi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Szederkényi

Since Specialization

Citations

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

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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