Renátó Besenczi

About Renátó Besenczi

Renátó Besenczi, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Debreceni Egyetem, specializes in the field of Biomedical Imaging, Software Engineering, Urban Computing, Traffic Analysis, Smart Cities.

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

Estimating road traffic flows in macroscopic Markov model

Smart city applications for urban traffic analysis

Large-scale simulation of traffic flow using Markov model

Markov modeling of traffic flow in Smart Cities

Large-scale Analysis and Simulation of Traffic Flow using Markov Models

Renátó Besenczi Information

University

Position

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Citations(all)

260

Citations(since 2020)

170

Cited By

156

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Renátó Besenczi Skills & Research Interests

Biomedical Imaging

Software Engineering

Urban Computing

Traffic Analysis

Smart Cities

Top articles of Renátó Besenczi

Estimating road traffic flows in macroscopic Markov model

2022/5/16

Smart city applications for urban traffic analysis

2022

Renátó Besenczi
Renátó Besenczi

H-Index: 5

Large-scale simulation of traffic flow using Markov model

Plos one

2021/2/9

Markov modeling of traffic flow in Smart Cities

Annales Mathematicae et Informaticae

2021

Large-scale Analysis and Simulation of Traffic Flow using Markov Models

arXiv preprint arXiv:2007.02681

2020/7/6

See List of Professors in Renátó Besenczi University(Debreceni Egyetem)

Co-Authors

academic-engine