Department of Applied Mathematics and Probability

1.

Martos, R., Szokol, Á., Veres, M., Gáll, J., Csik, A., Hegedűs, C., Keczánné Üveges, A., Tóth, E. R., Szalóki, M.: Evaluation of Two-Body Wear of Nanocomposites With Different Filler Morphology and Composition Using White-Light Interferometry.
Int J Dent. 2026, 1-14, (article identifier: 8929009), 2026.

doi DEA WoS Scopus

Journal metrics:

Q1 Dentistry (miscellaneous) (2025)

2.

Petneházi, G., Aradi, B.: HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization.
International Journal of Cognitive Computing in Engineering. 7 (1), 445-456, 2026.

doi DEA Scopus

3.

Mayer, M. J., Baran, Á., Lerch, S., Horat, N., Yang, D., Baran, S.: Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods.
Sol. Energy. 307, 1-36, (article identifier: 114361), 2026.

doi DEA WoS Scopus

Journal metrics:

Q1 Materials Science (miscellaneous) (2025)

Q1 Renewable Energy, Sustainability and the Environment (2025)

4.

Mayer, M. J., Baran, S.: Probabilistic PV forecasting.
In: AI-Based Forecasting of Solar Photovoltaics Power Generation / Elham Shirazi; Wilfried van Sark (eds), The Institution of Engineering and Technology (The IET), London, 149-176, 2026. ISBN: 9781837240197

doi DEA Scopus

5.

Rácz, A., Szabó, Á.: Simulation analysis of multi-objective one-dimensional cutting problems.
Transact Comput Model Intell Syst. 4, 1-14, (article identifier: 10063), 2026.

doi DEA

6.

Baran, S., Nagy-Lakatos, M.: Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts.
Q. J. R. Meteorol. Soc. [Epub ahead of print], 2026.

doi DEA WoS Scopus

Journal metrics:

Q1 Atmospheric Science (2025)

7.

Masasila, N. H., Fazekas, I.: Strong law of large numbers for [phi]-sub-Gaussian random variables under sub-linear expectation spaces.
Probab. Uncertain. Quant. Risk. [Submitted], 1-10, 2026.

DEA

8.

Nádasi, L., Kovács, S., Petneházi, G., Trón, Z.: The analysis of stability in the EU convergence clubs by using Poincaré plot features.
Reg. Stat. 16 (2), 318-342, 2026.

doi DEA WoS Scopus

Journal metrics:

Q1 Cultural Studies (2025)

Q3 Economics and Econometrics (2025)

Q3 Geography, Planning and Development (2025)

Q3 Public Administration (2025)

Q3 Statistics and Probability (2025)

9.

Fazekas, I., Fórián, L.: A family of network evolution models with moderate density.
Stat. Pap. 66 (5), 1-18, (article identifier: 105), 2025.

doi DEA WoS

Journal metrics:

Q2 Statistics and Probability

Q2 Statistics, Probability and Uncertainty

10.

Rácz, A.: A MILP model for one dimensional cutting stock problem with adjustable leftover threshold and cutting cost.
IJOCTA. 15 (2), 215-224, 2025.

doi DEA

Journal metrics:

Q2 Applied Mathematics

Q2 Control and Optimization

11.

Ali, A. A. A., Kovásznai, G., Khalid, M.: Automated fair team formation in STEAM activities using Satisfiability Modulo Theories (SMT).
Ann. Math. Inform. 61, 1-14, 2025.

doi DEA

Journal metrics:

Q4 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

12.

Leutbecher, M., Baran, S.: Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions.
Q. J. R. Meteorol. Soc. 151 (766), 1-16, (article identifier: 4898), 2025.

doi DEA WoS Scopus

Journal metrics:

Q1 Atmospheric Science

13.

Alnabhan, M., Alsaraireh, S., AbuHour, Y., Mosa, H., Al, S. L. M. H.: Lightweight and hybrid image encryption approach: dynamic anchor blocks selection.
Cluster Comput. 28 (16), 1-24, (article identifier: 1050), 2025.

doi DEA

14.

Baran, S., Marín, J. C., Cuevas, O., Díaz, M., Szabó, M., Nicolis, O., Nagy-Lakatos, M.: Machine learning-based probabilistic forecasting of solar irradiance in Chile.
Adv. Stat. Clim. Meteorol. Oceanogr. 11 (1), 89-105, 2025.

doi DEA Scopus

Journal metrics:

Q1 Applied Mathematics

Q2 Atmospheric Science

Q1 Oceanography

Q2 Statistics and Probability

15.

Nagy, B. Á., Nagy, B. Á., Nagy, Á., Gáll, J., Sterbenz, T.: Offensive efficiency and traditional positional roles in Hungarian basketball: an empirical analysis.
Front. Sports Act. Living. 7, 01-12, (article identifier: 1658662), 2025.

doi DEA

Journal metrics:

D1 Anthropology

Q2 Orthopedics and Sports Medicine

Q1 Physical Therapy, Sports Therapy and Rehabilitation

Q2 Physiology

Q2 Public Health, Environmental and Occupational Health

Q2 Tourism, Leisure and Hospitality Management

16.

Rácz, A.: Optimization model for reducing inconsistency of pairwise comparison matrices with minimal change.
OPSEARCH. 62, 2272-2288, 2025.

doi DEA WoS Scopus

Journal metrics:

Q3 Computer Science Applications

Q3 Information Systems

Q2 Management Information Systems

Q3 Management Science and Operations Research

17.

Nagy, B. Á., Nagy, B. Á., Nagy, Á., Gáll, J., Sterbenz, T.: Rethinking the Strongest Link: VAL, Ratings, and Team Success in Hungarian Basketball.
Front. Sports Act. Living. 7, 1-12, (article identifier: 1658676), 2025.

doi DEA

Journal metrics:

D1 Anthropology

Q2 Orthopedics and Sports Medicine

Q1 Physical Therapy, Sports Therapy and Rehabilitation

Q2 Physiology

Q2 Public Health, Environmental and Occupational Health

Q2 Tourism, Leisure and Hospitality Management

18.

Fazekas, I., Barta, A., Fórián, L., Porvázsnyik, B.: A continuous-time network evolution model describing N-interactions.
MATH. 9 (12), 35721-35742, 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Mathematics (miscellaneous)

19.

Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.: A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
Big Data Cogn. Comput. 8 (3), 1-24, 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Artificial Intelligence

Q1 Computer Science Applications

Q1 Information Systems

Q1 Management Information Systems

20.

Baran, Á., Baran, S.: A two-step machine learning approach to statistical post-processing of weather forecasts for power generation.
Q. J. R. Meteorol. Soc. 150 (759), 1029-1047, 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Atmospheric Science

21.

Baran, S., Nagy-Lakatos, M.: Clustering-based spatial interpolation of parametric post-processing models.
Weather Forecast. 39 (11), 1591-1604, 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Atmospheric Science

22.

Antal, G., Szabó, S., Szarvas, P., Pusztahelyi, T., Gáll, J., Holb, I.: Cost-Benefit Analysis of Apple Scab Sanitation Practices for ULO-Stored Apple Fruit in Integrated and Organic Production Systems.
International Journal of Fruit Science. 24 (1), 1-17, 2024.

doi DEA

Journal metrics:

Q2 Ecology

Q1 Horticulture

Q2 Plant Science

Q2 Agronomy and Crop Science

23.

Nagy-Lakatos, M., Baran, S.: Enhancing multivariate post-processed visibility predictions utilizing Copernicus Atmosphere Monitoring Service forecasts.
Meteorol. Appl. 31 (6), 1-19, (article identifier: 70015), 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Atmospheric Science

24.

Fazekas, I., Barta, A., Noszály, C., Porvázsnyik, B.: A continuous-time network evolution model describing 3-interactions.
Commun. Stat.-Theory Methods. 52 (11), 4001-4020, 2023.

doi DEA WoS Scopus

Journal metrics:

Q3 Statistics and Probability

25.

Nagy-Lakatos, M., Lerch, S., Hemri, S., Baran, S.: Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts.
Q. J. R. Meteorol. Soc. 149 (752), 856-877, 2023.

doi DEA WoS Scopus

Journal metrics:

D1 Atmospheric Science

Department of Applied Mathematics and Probability

Publication list