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personal data approved: 2020. II. 07.
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 (Supervisor)
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, without degree or degree granting in process:
Bálint Varga (PhD) 2018/08  IDI2-ELTE
present PhD students:
Kristóf Takács (PhD) (2020/08)  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
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 
2019

Szalkai B, Grolmusz V: MetaHMM: A webserver for identifying novel genes with specified functions in metagenomic samples, GENOMICS 111: (4) pp. 883-885.
type of document: Journal paper/Article
language: English
URL 
2019

Szalkai B, Varga B, Grolmusz V: Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method, BRAIN IMAGING AND BEHAVIOR 13: (5) pp. 1185-1192.
type of document: Journal paper/Article
language: English
URL 
2019

Takács K., Varga B., Grolmusz V.: PDB_Amyloid: an extended live amyloid structure list from the PDB, FEBS OPEN BIO 9: (1) pp. 185-190.
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
language: English
URL 
2019

Fellner Mate, Varga Balint, Grolmusz Vince: The frequent subgraphs of the connectome of the human brain, COGNITIVE NEURODYNAMICS 13: (5) pp. 453-460.
type of document: Journal paper/Article
language: English
URL 
2018

Kerepesi Cs, Varga B, Szalkai B, Grolmusz V: The dorsal striatum and the dynamics of the consensus connectomes in the frontal lobe of the human brain, NEUROSCIENCE LETTERS 673: pp. 51-55.
type of document: Journal paper/Article
language: English
URL 
2018

Szalkai B, Varga B, Grolmusz V: Brain size bias compensated graph-theoretical parameters are also better in women's structural connectomes, BRAIN IMAGING AND BEHAVIOR 12: (3) pp. 663-673.
type of document: Journal paper/Article
language: English
URL 
2018

Szalkai B, Grolmusz V: 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: 5
language: English
URL 
2018

Szalkai Balazs, Varga Balint, Grolmusz Vince: Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain, COGNITIVE NEURODYNAMICS 12: (6) pp. 549-559.
type of document: Journal paper/Article
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:
162
number of scientific publications:
160
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
scientific publications published abroad that meet the accreditation criteria:
138
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
4
number of independent citations to scientific publications and creative works:
765

 
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. )