János TÓTH

About János TÓTH

János TÓTH, With an exceptional h-index of 22 and a recent h-index of 10 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem, specializes in the field of differential equations, reaction kinetics, Mathematica, qualitative theory, stochastic process.

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

MAC, a novel stochastic optimization method

Borsószemek a falról

Kinetic Modeling of a Consecutive Enzyme-Catalyzed Enantioselective Reaction in Supercritical Media -

Two Nested Limit Cycles in Two-Species Reactions

How to Generate Species with Positive Concentrations for All Positive Times?

Realizations of kinetic differential equations

János TÓTH Information

University

Position

Hon. Prof. Dept. Analysis .

Citations(all)

2636

Citations(since 2020)

652

Cited By

2209

hIndex(all)

22

hIndex(since 2020)

10

i10Index(all)

53

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

János TÓTH Skills & Research Interests

differential equations

reaction kinetics

Mathematica

qualitative theory

stochastic process

Top articles of János TÓTH

MAC, a novel stochastic optimization method

arXiv preprint arXiv:2304.12248

2023/4/14

János Tóth
János Tóth

H-Index: 11

Borsószemek a falról

Alkalmazott Matematikai Lapok

2021

János Tóth
János Tóth

H-Index: 11

Kinetic Modeling of a Consecutive Enzyme-Catalyzed Enantioselective Reaction in Supercritical Media -

ACS Omega

2020/10/8

Two Nested Limit Cycles in Two-Species Reactions

Mathematics

2020/9/25

How to Generate Species with Positive Concentrations for All Positive Times?

MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY

2020

Realizations of kinetic differential equations

Mathematical Biosciences and Engineering

2019/7/16

See List of Professors in János TÓTH University(Budapesti Muszaki és Gazdaságtudományi Egyetem)

Co-Authors

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