Információ Technológia Tanszék

1.

Fábri, C., Halász, G. J., Hofierka, J., Cederbaum, L. S., Vibók, Á.: Impact of Dipole Self-Energy on Cavity-Induced Nonadiabatic Dynamics.
J. Chem. Theory Comput. 21 (2), 575-589, 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Computer Science Applications (2024)

Q1 Physical and Theoretical Chemistry (2024)

2.

Szabó, K., Fábri, C., Halász, G. J., Vibók, Á.: Indirect Probing of Light-Induced Nonadiabatic Dynamics in Lossy Nanocavities.
J. Phys. Chem. C. 129 (12), 5950-5959, 2025.

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Folyóirat-mutatók:

Q1 Electronic, Optical and Magnetic Materials (2024)

Q2 Energy (miscellaneous) (2024)

Q1 Surfaces, Coatings and Films (2024)

Q2 Nanoscience and Nanotechnology (2024)

Q1 Physical and Theoretical Chemistry (2024)

3.

Chudo, S. B., Terdik, G.: Modeling and Forecasting Time-Series Data with Multiple Seasonal Periods Using Periodograms.
Econometrics. 13 (2), 1-19, (cikkazonosító: 14), 2025.

doi DEA

Folyóirat-mutatók:

Q2 Economics and Econometrics (2024)

4.

Godó, Z., Fazekas, L., Fritsch, G., Szabó, B., Németh, N.: A Custom-Developed Device for Testing Tensile Strength and Elasticity of Vascular and Intestinal Tissue Samples for Anastomosis Regeneration Research.
Sensors. 24 (18), 1-11, (cikkazonosító: 5984), 2024.

doi DEA

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

5.

Godó, Z., Pető, K., Balog, K., Deák, Á., Ványolos, E., Fazekas, L., Szentkereszty, Z., Németh, N.: A Custom-Tailored Multichannel Pressure Monitoring System Designed for Experimental Surgical Model of Abdominal Compartment Syndrome.
Sensors. 24, 1-12, (cikkazonosító: 524), 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

6.

Alshuwaili, D. G. H., Szathmáry, L.: A one-dimensional convolutional neural network-based deep learning approach for predicting cardiovascular diseases.
Inform. Med. Unlocked. 49, 1-14, (cikkazonosító: 101535), 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications

Q2 Health Informatics

Q2 Information Systems

Q2 Software

7.

Biró, P.: Az interaktív tábla lehetőségei és gyakorlati hasznossága.
In: INDEHEP E-KÉZIKÖNYV, Innovatív digitális tananyagfejlesztés a felsőoktatásban / Szakál Zoltán, Takács Péter, Debreceni Egyetem Egészségtudományi Kar, Debrecen, 324-342, 2024. ISBN: 9789634906674

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8.

Szabó, M.: Building Ensemble Models with Web Services on Microservice Architecture.
Informatica (Slovenia). 48 (7), 1-10, 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q3 Computer Science Applications

Q3 Artificial Intelligence

Q4 Theoretical Computer Science

Q3 Software

9.

Fábri, C., Csehi, A., Halász, G. J., Cederbaum, L. S., Vibók, Á.: Classical and quantum light-inducednon-adiabaticity in molecular systems.
AVS Quantum Sci. 6 (2), 1-19, (cikkazonosító: 023501), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Computational Theory and Mathematics

Q1 Atomic and Molecular Physics, and Optics

Q1 Condensed Matter Physics

Q1 Computer Networks and Communications

Q1 Electrical and Electronic Engineering

Q1 Electronic, Optical and Magnetic Materials

Q1 Physical and Theoretical Chemistry

10.

Biró, P., Kádek, T.: Comparing Student Results on a Programming Task During a Contest and a Practice Situation with the Help of the ProgCont System.
In: 2024 IEEE Global Engineering Education Conference (EDUCON) Proceedings, IEEE, Kos, 1-6, 2024, (ISSN 2165-9567) ISBN: 9798350394023

doi DEA

11.

Fábri, C., Császár, A. G., Halász, G. J., Cederbaum, L. S., Vibók, Á.: Coupling polyatomic molecules to lossy nanocavities: Lindblad vs Schrödinger description.
J. Chem. Phys. 160 (21), 1-20, (cikkazonosító: 214308), 2024.

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Folyóirat-mutatók:

Q2 Medicine (miscellaneous)

Q1 Physical and Theoretical Chemistry

Q1 Physics and Astronomy (miscellaneous)

12.

Pogorelskiy, S., Kocsis, I.: Designing structured cabling systems documentation and model by using Building Information Modeling: Literature review.
Ann. Math. Inform. 60, 121-132, 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q4 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

13.

Al-Hamad, A. M. A. A., Gilányi, A., Al-Fayyadh, F.: Effectiveness and Usability of Virtual Reality in Physical Education: A Case Study on Dance Teaching.
In: 2nd IEEE International Conference on Cognitive Aspects of Virtual Reality - cVR 2023, IEEE, Piscataway (NJ), 109-114, 2024. ISBN: 9798350338638

doi DEA Scopus

14.

Filep, L., Polgár, P., Gál, Z.: Energy Consumption Based Analysis of the Swarm Intelligence Routing Mechanisms in Wireless Sensor Networks.
In: Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings / Sergey Y. Yurish, International Frequency Sensor Association, Barcelona, 249-255, 2024, (ISSN 2938-4796) ISBN: 9788409582198

doi DEA

15.

Istenes, G., Pup, D., Terdik, G., Bokor, J.: Hammerstein Model Identification for Autonomous Vehicle Dynamics by Two-Stage Algorithm.
Engeng. Proc. 79 (1), 1-6, (cikkazonosító: 54), 2024.

DEA Scopus

16.

Vágner, A.: How Do NoSQL Databases Handle Variety of Big Data?.
In: Proceedings of Ninth International Congress on Information and Communication Technology, ICICT 2024, London, Volume 2.. Ed.: Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi, Springer, London, 459-469, 2024, (Lecture Notes in Networks and Systems 2367-3370 2367-3389 ; 1012.) ISBN: 9789819735556

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17.

Oláh, C., Czakó, J., Godó, Z., Farkas, M., Papp, M., Czabajszki, M.: Idegsebészeti posztoperatív őrzőben kezelt idős betegek SARS-CoV-2 és Clostridioides difficile kombinált fertőzése.
Orv. hetil. 165 (12), 464-469, 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q4 Medicine (miscellaneous)

18.

Fábri, C., Halász, G. J., Cederbaum, L. S., Vibók, Á.: Impact of Cavity on Molecular Ionization Spectra.
J. Phys. Chem. Lett. 15 (17), 4655-4661, 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Materials Science (miscellaneous)

Q1 Nanoscience and Nanotechnology

Q1 Physical and Theoretical Chemistry

19.

Kovásznai, G., Nsaif, M.: Integer Programming Based Optimization of Power Consumption for Data Center Networks.
Acta Cybern. Epub (-), 1-17, 2024.

doi DEA

Folyóirat-mutatók:

Q4 Computational Theory and Mathematics

Q4 Computer Science (miscellaneous)

Q4 Computer Vision and Pattern Recognition

Q4 Electrical and Electronic Engineering

Q3 Information Systems and Management

Q4 Management Science and Operations Research

Q4 Software

Q4 Theoretical Computer Science

20.

Umarov, O., Csehi, A., Badankó, P., Halász, G. J., Vibók, Á.: Light-induced photodissociation in the lowest three electronic states of the NaH molecule.
Phys. Chem. Chem. Phys. 26 (8), 7211-7223, 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Physical and Theoretical Chemistry

Q2 Physics and Astronomy (miscellaneous)

21.

Najem, D. F., Taha, N. A., Abduljabbar, Z. A., Nyangaresi, V. O., Ma, J., Alshuwaili, D. G. H.: Low-Complexity and Secure Clustering-Based Similarity Detection for Private Files.
TEM J. 13 (3), 2341-2349, 2024.

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Folyóirat-mutatók:

Q3 Computer Science (miscellaneous)

Q3 Education

Q3 Information Systems

Q3 Information Systems and Management

Q3 Strategy and Management

Q3 Management of Technology and Innovation

22.

Biró, P.: Možnosti interaktívnej tabule a jej praktická využiteľnose.
In: INDEHEP E-HANDBOOK, Inovatívne digitálne uebné osnovy Vývoj vo vysokobkolskom vzdelávaní / Zoltán Szakál, Péter Takács, Debrecínska univerzita, Fakulta zdravotníckych vied, Debrecen, 314-333, 2024. ISBN: 9789634906650

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23.

Balla, T., Tóth, R., Bodroginé Zichar, M., Hoffmann, M.: Multimodal Approach of Improving Spatial Abilities.
Multimodal Technol. Interaction. 8 (11), 1-12, (cikkazonosító: 99), 2024.

doi DEA

Folyóirat-mutatók:

Q2 Computer Science Applications

Q2 Computer Networks and Communications

Q3 Human-Computer Interaction

Q3 Neuroscience (miscellaneous)

24.

Gandhi, H. K., Ispány, M.: Multi-step Natural Gas Price Forecasting using Ensemble Empirical Mode Decomposition and Long Short-Term Memory Hybrid Model.
IJEEP. 14 (4), 590-598, 2024.

doi DEA

Folyóirat-mutatók:

Q2 Economics, Econometrics and Finance (miscellaneous)

Q3 Energy (miscellaneous)

25.

Godó, Z.: Neural Network Visualization for The Study of Parallel Algorithm Building Skills.
In: ICONST EST 2024 International Conferences on Science and Technology Engineering Science and Technology: Engineering Science and Technology Abstracts and Proceedings Book / Dr. Mustafa Karaboyac; Dr. Abdullah Beram; Dr. Hamza Kandemir; Dr. Serkan Özdemir, Association of Kutbilge Academicians, Isparta, Türkiye, 21-21, 2024. ISBN: 9786259891149

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