Vince Grolmusz - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. III. 17.

Personal data

name	Vince Grolmusz
name of institution	Eötvös Loránd University, Budapest
doctoral school	ELTE Doctoral School of Informatics (Core member) Council of the Doctoral School ELTE Doctoral School of Mathematics (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. )
the share of work in the different doctoral schools.	ELTE Doctoral School of Informatics 67% ELTE Doctoral School of Mathematics 32% ELTE IDI2-ELTE Council of the Doctoral School 1%
accreditation statement submitted to:	Eötvös Loránd University, Budapest

Contact details
E-mail address	grolmuszcs.elte.hu
	own web page

Academic title
scientific degree, title	CSc
year degree was obtained	1990
discipline to which degree belongs	mathematics and computing
institution granting the degree	HAS
scientific degree, title	DSc
year degree was obtained	2005
discipline to which degree belongs	mathematics and computing
institution granting the degree	HAS

Employment
1990 -	Eötvös Loránd University, Budapest 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:

Balázs Szalkai	PhD	2019	IDI2-ELTE
Csaba Kerepesi	PhD	2018	IDI2-ELTE
Rafael Ördög	PhD	2011	IDI2-ELTE

completed course requirement:

	Bálint Varga	(PhD)	2018/08	IDI2-ELTE
	Kristóf Takács	(PhD)	2021/08	DSM

Thesis topic proposals

Research
research area	mathematics and computer science, bioinformatics
research field in which current research is conducted	mathematics and computing computer sciences

Publications

2022

Keresztes László, Szögi Evelin, Varga Bálint, Grolmusz Vince: Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org, SCIENTIFIC REPORTS 12: (1) 3102
type of document: Journal paper/Article
language: English
URL

2021

Varga Bálint, Grolmusz Vince: The braingraph.org database with more than 1000 robust human connectomes in five resolutions, COGNITIVE NEURODYNAMICS
type of document: Journal paper/Article
language: English
URL

2021

Keresztes László, Szögi Evelin, Varga Bálint, Farkas Viktor, Perczel András, Grolmusz Vince: The Budapest Amyloid Predictor and Its Applications, BIOMOLECULES 11: (4) 500
type of document: Journal paper/Article
language: English
URL

2021

Szalkai Balázs, Varga Bálint, Grolmusz Vince: The Graph of Our Mind, BRAIN SCIENCES 11: (3) 342
type of document: Journal paper/Article
language: English
URL

2021

Keresztes Laszlo, Szogi Evelin, Varga Balint, Grolmusz Vince: Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph, COGNITIVE NEURODYNAMICS
type of document: Journal paper/Article
language: English
URL

2020

Fellner Máté, Varga Bálint, Grolmusz Vince: The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females, PLOS ONE 15: (1) e0227910
type of document: Journal paper/Article
language: English
URL

2020

Fellner Máté, Varga Bálint, Grolmusz Vince: Good neighbors, bad neighbors: the frequent network neighborhood mapping of the hippocampus enlightens several structural factors of the human intelligence on a 414-subject cohort, SCIENTIFIC REPORTS 10: (1) 11967
type of document: Journal paper/Article
language: English
URL

2019

Szalkai B, Kerepesi Cs, Varga B, Grolmusz V: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, PLOS ONE 14: (4) e0215473
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2018

Szalkai Balázs, Grolmusz Vince: SECLAF: a webserver and deep neural network design tool for hierarchical biological sequence classification, BIOINFORMATICS 34: (14) pp. 2487-2489.
type of document: Journal paper/Article
number of independent citations: 14
language: English
URL

2018

Szalkai B, Grolmusz V: Near perfect perfect protein multi-label classification with deep neural networks, METHODS 132: (1) pp. 50-56.
type of document: Journal paper/Article
number of independent citations: 20
language: English
URL

Number of independent citations to these publications:

Scientometric data

Saját közlemény- és idézőlista

list of publications and citations

number of scientific publications that meet accreditation criteria:

167

number of scientific publications:

166

monographs and professional books:

monographs/books in which chapters/sections were contributed:

scientific publications published abroad that meet the accreditation criteria:

139

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

1123