Makó Csaba

Nemzeti Közszolgálati Egyetem

H-index: 21

Europe-Hungary

About Makó Csaba

Makó Csaba, With an exceptional h-index of 21 and a recent h-index of 13 (since 2020), a distinguished researcher at Nemzeti Közszolgálati Egyetem, specializes in the field of General Purpose Technology (i.e. AI/AM, digitisation, quality of job, technological and social innovation.

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

Systematic review of deep learning and machine learning for building energy

When smart cities get smarter via machine learning: An in-depth literature review

Modeling organizational performance with machine learning

Prediction of food production using machine learning algorithms of multilayer perceptron and ANFIS

Makó Csaba Information

University	Nemzeti Közszolgálati Egyetem
Position	___
Citations(all)	2051
Citations(since 2020)	722
Cited By	912
hIndex(all)	21
hIndex(since 2020)	13
i10Index(all)	57
i10Index(since 2020)	17
Email	Access Email
University Profile Page	Nemzeti Közszolgálati Egyetem
Google Scholar	View Google Scholar Profile

Makó Csaba Skills & Research Interests

General Purpose Technology (i.e. AI/AM

digitisation

quality of job

technological and social innovation

Top articles of Makó Csaba

Title	Journal	Author(s)	Publication Date
Systematic review of deep learning and machine learning for building energy		Sina Ardabili Amir Mosavi Annamária R Várkonyi-Kóczy	2019/9/4
When smart cities get smarter via machine learning: An in-depth literature review		Shahab S Band Sina Ardabili Mehdi Sookhak Anthony Theodore Chronopoulos Said Elnaffar ...	2022/6/9
Modeling organizational performance with machine learning	Journal of Open Innovation: Technology, Market, and Complexity	Jozsef Pap Csaba Mako Miklos Illessy Norbert Kis Amir Mosavi	2022/9/28
Prediction of food production using machine learning algorithms of multilayer perceptron and ANFIS	Agriculture	Saeed Nosratabadi Sina Ardabili Zoltan Lakner Csaba Mako Amir Mosavi	2021/5/2