György Csaba

György Csaba

Semmelweis Egyetem

H-index: 53

Europe-Hungary

About György Csaba

György Csaba, With an exceptional h-index of 53 and a recent h-index of 24 (since 2020), a distinguished researcher at Semmelweis Egyetem, specializes in the field of Hormonal imprinting, Evolution of endocrine system.

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

The 2024 Magnonics Roadmap

Parametric excitations of coupled nanomagnets

Design of oscillatory neural networks by machine learning

Nanoscale magnonic networks

Distant Excitation of Spin-Waves—How Electromagnetic Cross-Talk Impacts on Hybrid Magnonic Devices

Frequency Demultiplexing of Spin Waves by Inverse-designed Magnetization Patterns, Experimentally Realized by FIB Irradiation

Design of k-space Magnon Dynamics by Machine Learning

Perspective on nanoscaled magnonic networks

György Csaba Information

University

Position

Professor of Biology

Citations(all)

16224

Citations(since 2020)

3058

Cited By

14757

hIndex(all)

53

hIndex(since 2020)

24

i10Index(all)

417

i10Index(since 2020)

68

Email

University Profile Page

Semmelweis Egyetem

Google Scholar

View Google Scholar Profile

György Csaba Skills & Research Interests

Hormonal imprinting

Evolution of endocrine system

Top articles of György Csaba

Title

Journal

Author(s)

Publication Date

The 2024 Magnonics Roadmap

Journal of Physics: Condensed Matter

Benedetta Flebus

Dirk Grundler

Bivas Rana

Yoshichika Otani

Igor Barsukov

...

2024/4/2

Parametric excitations of coupled nanomagnets

Journal of Magnetism and Magnetic Materials

Domonkos Laszlo Farkas

Gyorgy Csaba

2024/4/1

Design of oscillatory neural networks by machine learning

Frontiers in Neuroscience

Tamás Rudner

Wolfgang Porod

Gyorgy Csaba

2024/3/4

Nanoscale magnonic networks

Physical Review Applied

Qi Wang

Gyorgy Csaba

Roman Verba

Andrii V Chumak

Philipp Pirro

2024/4/24

Distant Excitation of Spin-Waves—How Electromagnetic Cross-Talk Impacts on Hybrid Magnonic Devices

Johannes Greil

Matthias Golibrzuch

Martina Kiechle

Adam Papp

György Csaba

...

2023/5/15

Frequency Demultiplexing of Spin Waves by Inverse-designed Magnetization Patterns, Experimentally Realized by FIB Irradiation

Martina Kiechle

Adam Papp

Levente Maucha

Simon Mendisch

Johannes Greil

...

2023/5/15

Design of k-space Magnon Dynamics by Machine Learning

György Csaba

Ádám Papp

Horváth András

Joo-Von Kim

Maryam Massouras

...

2023/5/15

Perspective on nanoscaled magnonic networks

arXiv preprint arXiv:2311.06129

Qi Wang

Gyorgy Csaba

Roman Verba

Andrii V Chumak

Philipp Pirro

2023/11/10

Spin‐Wave Optics in YIG Realized by Ion‐Beam Irradiation

Small

Martina Kiechle

Adam Papp

Simon Mendisch

Valentin Ahrens

Matthias Golibrzuch

...

2023/5

Secondary Excitation of Spin Waves: How Electromagnetic Crosstalk Impacts Magnonic Devices

IEEE Transactions on Magnetics

Johannes Greil

Matthias Golibrzuch

Martina Kiechle

Ádám Papp

Valentin Ahrens

...

2023/7/5

A Convolutional Neural Network with a Wave-Based Convolver

Electronics

András Fülöp

György Csaba

András Horváth

2023/2/25

Experimental demonstration of a spin-wave lens designed with machine learning

IEEE Magnetics Letters

Martina Kiechle

Levente Maucha

Valentin Ahrens

Carsten Dubs

Wolfgang Porod

...

2022/9/26

Nanomagnetic Logic: From Devices to Systems

Fabrizio Riente

Markus Becherer

Gyorgy Csaba

2022/7/9

Advances in magnetics roadmap on spin-wave computing

IEEE Transactions on Magnetics

Andrii V Chumak

Pavel Kabos

Mingzhong Wu

Claas Abert

Christoph Adelmann

...

2022/2/7

Efficient electromagnetic transducers for spin-wave devices

Scientific Reports

David A Connelly

Gyorgy Csaba

Hadrian Renaldo O Aquino

Gary H Bernstein

Alexei Orlov

...

2021/9/15

Characterization of nonlinear spin-wave interference by reservoir-computing metrics

Applied Physics Letters

A Papp

G Csaba

W Porod

2021/9/13

The 2021 magnonics roadmap

Anjan Barman

Gianluca Gubbiotti

Sam Ladak

Adekunle Olusola Adeyeye

Maciej Krawczyk

...

2021/8/18

Nanoscale neural network using non-linear spin-wave interference

Nature communications

Ádám Papp

Wolfgang Porod

Gyorgy Csaba

2021/11/5

Comparing Different PC and FPGA Implementation Possibilities of Fast Multipole Method

Levente Márk Sántha

Zoltán Nagy

András Kiss

György Csaba

2021/9/29

Az egyedfejlődés kritikus fázisaiban történő gyógyszeres kezelések késői következményei. A hibás hormonális imprinting koncepciójának kiterjesztése

Orvosi Hetilap

György Csaba

2020/1

See List of Professors in György Csaba University(Semmelweis Egyetem)