Serkan Gugercin

About

Serkan Gugercin is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Numerical Analysis. According to data from OpenAlex, Serkan Gugercin has authored 85 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Statistical and Nonlinear Physics, 42 papers in Statistics, Probability and Uncertainty and 34 papers in Numerical Analysis. Recurrent topics in Serkan Gugercin’s work include Model Reduction and Neural Networks (78 papers), Probabilistic and Robust Engineering Design (42 papers) and Numerical methods for differential equations (34 papers). Serkan Gugercin is often cited by papers focused on Model Reduction and Neural Networks (78 papers), Probabilistic and Robust Engineering Design (42 papers) and Numerical methods for differential equations (34 papers). Serkan Gugercin collaborates with scholars based in United States, Germany and Croatia. Serkan Gugercin's co-authors include Peter Benner, Christopher Beattie, Karen Willcox, Athanasios C. Antoulas, A.C. Antoulas, Zlatko Drmač, D. C. Sorensen, Benjamin Peherstorfer, Ulrike Baur and Arjan van der Schaft and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Co-authorship network of co-authors of Serkan Gugercin i

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Fields of papers citing papers by Serkan Gugercin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Serkan Gugercin

Since Specialization

Citations

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