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Personal data
name Zsuzsanna Vágó
name of institution
doctoral school
PPKE Roska Tamás Doctoral School of Sciences and Technology (Academic staff member)
accreditation statement submitted to: Pázmány Péter Catholic University, Budapest
Contact details
E-mail address vagoitk.ppke.hu
phone number +36 1 886-4765
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 1995
discipline to which degree belongs mathematics and computing
institution granting the degree Eötvös Loránd University
Employment
2001 - Pázmány Péter Catholic University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
(50%) Béla Weiss PhD 2010  PPCU-RTDS

  Thesis topic proposals
Research
research area mathematics
research field in which current research is conducted mathematics and computing
Publications
2009

Weiss B, Clemens Z, Bódizs R, Vágó Z, Halász P: Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG, JOURNAL OF NEUROSCIENCE METHODS 185: (1) pp. 116-124.
type of document: Journal paper/Article
impact factor: 2.295
number of independent citations: 15
language: English
URL 
2005

Gerencsér L, Michaletzky GY, Vágó ZS: Risk sensitive identification of linear stochastic systems, MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS 17: (2) pp. 77-100.
type of document: Journal paper/Article
impact factor: 0.562
language: English
DOI 
2002

Kozmann G, Haraszti K, Gerencsér L, Vágó Z: Evaluation of a new signal processing approach of high resolution BSPM, INTERNATIONAL JOURNAL OF BIOELECTROMAGNETISM 4: pp. 129-130.
type of document: Journal paper/Article
language: English
2002

Gerencsér L, Kozmann G, Vágó Z, Haraszti K: The use of SPSA method in ECG analysis, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 49: pp. 1094-1101.
type of document: Journal paper/Article
impact factor: 1.665
number of independent citations: 11
language: English
2002

Gerencser L, Vago Z, Hjalmarsson H: Randomization methods in optimization and adaptive control - Dedicated to Tyrone Duncan on occasion of his 60th birthday, LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES 280: pp. 137-153.
type of document: Journal paper/Article
impact factor: 0.188
number of independent citations: 1
language: English
2001

Vágó ZS : Ökonometriai módszerek. Egyetemi jegyzet., Budapest: Műszaki és Gazdaságtudományi Egyetem, 45 p. (Econometric methods. Lecture notes.)
type of document: Book/Monography
language: Hungarian
1998

Vágó ZS, Gerencsér L: Performance of an adaptive LQ controller with noise injection in continuous time, JOURNAL OF MATHEMATICAL SYSTEMS ESTIMATION AND CONTROL 8: (4) pp. 503-506.
type of document: Journal paper/Article
language: English
1998

Gerencser L, Kozmann G, Vago Z: SPSA for non-smooth optimization with application in ECG analysis, PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION AND CONTROL x: pp. 3907-3908.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 5
language: English
1994

Gerencsér L, Vágó ZS: Fixed-gain estimation in continuous time, ACTA APPLICANDAE MATHEMATICAE 35: pp. 153-164.
type of document: Journal paper/Article
impact factor: 0.270
language: English
1992

Gerencsér L, Vágó ZS: A strong approximation theorem for parameter estimators in continuous time, JOURNAL OF MATHEMATICAL SYSTEMS ESTIMATION AND CONTROL 2: (2) pp. 191-204.
type of document: Journal paper/Article
language: English
Number of independent citations to these publications:32 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria (TV):
47
number of scientific publications (TV):
52
monographs and professional books (TV):
4
monographs/books in which chapters/sections were contributed:
4 
number of independent citations to scientific publications and creative works (TV):
115

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )