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personal data approved: 2019. XI. 10.
Personal data
Ágnes Fogarassyné Vathy
name Ágnes Fogarassyné Vathy
name of institution
doctoral school
PE Doctoral School of Information Science and Technology (Supervisor)
Contact details
E-mail address vathydcs.uni-pannon.hu
phone number +36 88 624-712
Academic title
scientific degree, title Ph.D.
year degree was obtained 2009
discipline to which degree belongs computer sciences
institution granting the degree Eötvös Lóránd University
Employment
1998 - University of Pannonia
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
students with degree granting in process:
(50%) Dániel Leitold PhD (2021/09)  DSIST-PE
present PhD students:
Szabolcs Szekér (PhD) (2022/01)  DSIST-PE
  Thesis topic proposals
Research
research area data mining, data mining technologies in healthcare
research field in which current research is conducted computer sciences
Publications
2018

Leitold D, Vathy-Fogarassy A, Abonyi J: Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree, SENSORS 18: (9) 3096
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2017

Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi: Controllability and observability in complex networks – the effect of connection types, SCIENTIFIC REPORTS 7: 151
type of document: Journal paper/Article
number of independent citations: 18
language: English
URL 
2017

Vathy-Fogarassy Ágnes, Hugyák Tamás: Uniform data access platform for SQL and NoSQL database systems, INFORMATION SYSTEMS 69: pp. 93-105.
type of document: Journal paper/Article
number of independent citations: 15
language: English
URL 
2017

Toth K, Kosa I, Vathy-Fogarassy A: Frequent Treatment Sequence Mining from Medical Databases., STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS 236: pp. 211-218.
type of document: Journal paper/Article
number of independent citations: 3
language: English
2016

András Király, Ágnes Vathy-Fogarassy, János Abonyi: Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data, FUZZY SETS AND SYSTEMS 286: pp. 157-172.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
2013

Ágnes Vathy-Fogarassy, János Abonyi: Graph-Based Clustering and Data Visualization Algorithms, Springer-Verlag Wien
type of document: Book/Monography
number of independent citations: 28
language: English
URL 
2009

Vathy-Fogarassy A, Abonyi J: Local and global mappings of topology representing networks, INFORMATION SCIENCES 179: (21) pp. 3791-3803.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL 
2007

Vathy-Fogarassy A, Feil B, Abonyi J: Minimal Spanning Tree based Fuzzy Clustering, WORLD ACADEMY OF SCIENCE ENGINEERING AND TECHNOLOGY 1: (8) pp. 7-12.
type of document: Journal paper/Article
number of independent citations: 24
language: English
2007

Vathy-Fogarassy A, Werner-Stark A, Gal B, Abonyi J: Visualization of topology representing networks, In: Yin, H; Tino, P; Corchado, E; Byrne, W; Yao, X (szerk.) 8th International Conference on Intelligent Data Engineering and Automated Learning, Springer-Verlag (2007) pp. 557-566.
type of document: Part of book/Proceedings Paper
number of independent citations: 8
language: English
URL 
2006

Vathy-Fogarassy A, Kiss A, Abonyi J: Hybrid minimal spanning tree and mixture of gaussians based clustering algorithm, In: Dix, J; Hegner, SJ (szerk.) 4th International Symposium on Foundations of Information and Knowledge Systems, Springer-Verlag (2006) pp. 313-330.
type of document: Part of book/Proceedings Paper
number of independent citations: 35
language: English
URL 
Number of independent citations to these publications:156 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
59
number of scientific publications:
71
monographs and professional books:
2
monographs/books in which chapters/sections were contributed:
3 
scientific publications published abroad that meet the accreditation criteria:
28
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
12
number of independent citations to scientific publications and creative works:
209


2019. IX. 13.
ODT ülés
Az ODT következő ülésére 2019. november 22-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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. )