Login
 Forum
 
 
Personal data sheet
 Print preview
personal data approved: 2022. III. 17.
Personal data
Vince Grolmusz
name Vince Grolmusz
name of institution
doctoral school
ELTE Doctoral School of Informatics (Core member)
Council of the Doctoral School
ELTE Doctoral School of Mathematics (Academic staff member)
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 5
number of students who fulfilled course requirements 4
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:37 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
164
number of scientific publications:
164
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
scientific publications published abroad that meet the accreditation criteria:
136
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
5
number of independent citations to scientific publications and creative works:
993

 
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. )