László ASZALÓS

Debreceni Egyetem

H-index: 8

Europe-Hungary

About László ASZALÓS

László ASZALÓS, With an exceptional h-index of 8 and a recent h-index of 5 (since 2020), a distinguished researcher at Debreceni Egyetem, specializes in the field of modal logic, artificial intelligence, combinatorial optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

DIFFERENT TEACHING METHODS DURING THE PANDEMIC IN THE UNIVERSITY EDUCATION

Decompose boolean matrices with correlation clustering

BUSINESS MATHEMATICS EXAMS BEFORE AND DURING LOCKDOWN

BLENDED LEARNING AT INTRODUCTORY LOGIC COURSE AT UNIVERSITY OF DEBRECEN

DIY PROGRAMMERS’LMS

Graph approximation on similarity based rough sets

TEACHING AI DURING THE PANDEMIC

László ASZALÓS Information

University	Debreceni Egyetem
Position	Faculty of Informatics
Citations(all)	200
Citations(since 2020)	86
Cited By	162
hIndex(all)	8
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	1
Email	Access Email
University Profile Page	Debreceni Egyetem
Google Scholar	View Google Scholar Profile

László ASZALÓS Skills & Research Interests

modal logic

artificial intelligence

combinatorial optimization

Top articles of László ASZALÓS

Title	Journal	Author(s)	Publication Date
DIFFERENT TEACHING METHODS DURING THE PANDEMIC IN THE UNIVERSITY EDUCATION		Maria Bakó L Aszalós	2022
Decompose boolean matrices with correlation clustering	Entropy	László Aszalós	2021/7/2
BUSINESS MATHEMATICS EXAMS BEFORE AND DURING LOCKDOWN		M Bakó L Aszalós	2021
BLENDED LEARNING AT INTRODUCTORY LOGIC COURSE AT UNIVERSITY OF DEBRECEN		M Bakó L Aszalós	2020
DIY PROGRAMMERS’LMS		M Bakó L Aszalós	2020
Graph approximation on similarity based rough sets	Pollack Periodica	Dávid Nagy Tamás Mihálydeák László Aszalós	2020/8
TEACHING AI DURING THE PANDEMIC		László Aszalós Mária Bakó	2020