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 Konstantinos Fokianos sits on this spectrum.
This scientist: 124 publications — 23rd percentile
23% 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 Konstantinos Fokianos sits on this spectrum.
This scientist: 30 D-Index — 5th percentile
5% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Konstantinos Fokianos is affiliated with the University of Cyprus in Cyprus and has made numerous contributions in the areas of mathematics and computer science, focusing extensively on statistics and probability as well as artificial intelligence. Their research spans a range of topics including statistical methods and inference, complex systems and time series analysis, financial risk and volatility modeling, Bayesian methods and mixture models, statistical methods and Bayesian inference, time series analysis and forecasting, and COVID-19 epidemiological studies.
Fokianos has published in various venues, with a notable presence in arXiv (Cornell University) where they have contributed eight publications. Additional publication venues include the Journal of Time Series Analysis, the Journal of the Royal Statistical Society Series A (Statistics in Society), the Journal of the American Statistical Association, and the Journal of Multivariate Analysis.
Recent papers associated with Fokianos include:
Frequent co-authors collaborating with Fokianos include Mirko Armillotta, Georgios K. Nikolopoulos, Roland Fried, Maria Ganopoulou, and Lefteris Angelis. These collaborations have resulted in multiple joint publications, particularly with Armillotta.
The main scientific domains of Fokianos' work reflect a blend of rigorous mathematical theory and applied computational techniques, especially within the scope of statistical modeling and time series forecasting. Their research outputs contribute to advancing understanding in quantitative methods applicable to complex data structures and dynamics observed in economics, finance, and epidemiological contexts.
Benjamin Kedem;Konstantinos Fokianos
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Sofia Wichert;Konstantinos Fokianos;Korbinian Strimmer
Benjamin Kedem;Konstantinos Fokianos
Konstantinos Fokianos;Dag Tjøstheim
Tobias Liboschik;Konstantinos Fokianos;Roland Fried
Vasiliki Christou;Konstantinos Fokianos
Konstantinos Fokianos;Roland Fried
Konstantinos Fokianos;Benjamin Kedem
Konstantinos Fokianos
Konstantinos Fokianos;Benjamin Kedem;Jing Qin;David A Short
Paul Doukhan;Konstantinos Fokianos;Dag Tjøstheim
Richard A. Davis;Konstantinos Fokianos;Scott H. Holan;Harry Joe
Konstantinos Fokianos;Dag Tjøstheim
Konstantinos Fokianos
Konstantinos Fokianos;Roland Fried
Konstantinos Fokianos;Benjamin Kedem
Konstantinos Fokianos;Benjamin Kedem
Konstantinos Fokianos
Konstantinos Fokianos
Konstantinos Fokianos;Bård Støve;Dag Bjarne Tjøstheim;Paul Doukhan
Konstantinos Fokianos
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