The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Andreas Karageorghis sits on this spectrum.
This scientist: 195 publications — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Andreas Karageorghis sits on this spectrum.
This scientist: 34 D-Index — 21st percentile
21% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Andreas Karageorghis is affiliated with the University of Cyprus in Cyprus. Their research primarily focuses on engineering, with a significant contribution to mechanics of materials, atomic and molecular physics and optics, computational theory and mathematics, civil and structural engineering, and computational mechanics. The main topics of their work include numerical methods in engineering, electromagnetic scattering and analysis, electromagnetic simulation and numerical methods, geotechnical engineering and underground structures, numerical methods in inverse problems, advanced numerical methods in computational mathematics, and contact mechanics and variational inequalities.
The scientist has co-authored research with several frequent collaborators including D. Lesnic, C.S. Chen, Małgorzata A. Jankowska, and Liviu Marin. Their publications appear regularly in multiple academic venues, with frequent contributions to Engineering Analysis with Boundary Elements, Mathematics and Computers in Simulation, Computers & Mathematics with Applications, Numerical Algorithms, and Journal of Computational and Applied Mathematics.
Recent published papers by Andreas Karageorghis include:
Other notable papers co-authored by C.S. Chen include:
Andreas Karageorghis has also contributed to book publications with Springer International Publishing and World Scientific. Titles include "Advances in Trefftz Methods and Their Applications" published in 2020 and "An Introduction to the Method of Fundamental Solutions" published in 2024.
Graeme Fairweather;Andreas Karageorghis
Graeme Fairweather;Andreas Karageorghis;P.A. Martin
Andreas Karageorghis;Graeme Fairweather
A. Karageorghis;D. Lesnic;L. Marin
C. S. Chen;A. Karageorghis;Yan Li
A. R. Davies;A. Karageorghis;T. N. Phillips
Andreas Karageorghis
A. Poullikkas;A. Karageorghis;G. Georgiou
A. Karageorghis;T. N. Phillips;A. R. Davies
J.R. Berger;A. Karageorghis
J. R. Berger;Andreas Karageorghis
Yiorgos-Sokratis Smyrlis;Andreas Karageorghis
Andreas Poullikkas;Andreas Karageorghis;Georgios Georgiou
Andreas Karageorghis;Graeme Fairweather
Andreas Karageorghis
A. Karageorghis;G. Fairweather
Bernard Bialecki;Graeme Fairweather;Andreas Karageorghis
A. Karageorghis;G. Fairweather
A. Karageorghis;D. Lesnic
Andreas Karageorghis;Graeme Fairweather
A. Karageorghis;D. Lesnic
If you think any of the details on this page are incorrect, let us know.
Exploring Mathematics in the USA opens doors to diverse career pathways and related online degrees that complement this field. For those interested in combining analytical skills with business acumen, pursuing an cheapest online marketing degree can provide valuable insights into market trends and consumer data analysis.
Business professionals or mathematicians aiming to accelerate their careers often consider accelerated options like 1 year mba programs, which offer a fast-tracked route to leadership roles while enhancing quantitative and strategic skills.
Additionally, flexibility in education is a key concern for many learners. Understanding the possibilities of credit transfer through resources like can you transfer mba credits helps students make informed decisions about continuing their education without starting over.
Finally, the rapid growth of data-driven industries makes pursuing an ms in data analytics a strategic choice. This degree builds on mathematical foundations to prepare graduates for in-demand roles involving big data, predictive modeling, and decision science.
University of Massachusetts Amherst
Université Paris Cité
University of Luxembourg
Dublin Institute For Advanced Studies
University of Zurich
Hong Kong Polytechnic University
Microsoft (United States)
Southeast University
King Khalid University
Fu Jen Catholic University
University of Copenhagen
University of Victoria
École Polytechnique
Natural History Museum
Syracuse University
University of Houston
