Réka Vas - ODT Personal data sheet


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Personal data sheet

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VALIDITY EXPIRED
personal data approved: 2021. I. 24.

Personal data

name	Réka Vas
name of institution	Corvinus University of Budapest
doctoral school	BCE Doctoral School of Economics, Business and Informatics (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.	BCE Doctoral School of Economics, Business and Informatics 100%
accreditation statement submitted to:	Corvinus University of Budapest

Contact details
E-mail address	rvasinformatika.uni-corvinus.hu
phone number	+36 1 482-7414
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2008
discipline to which degree belongs	business and management
institution granting the degree	Corvinus University of Budapest

Employment
2006 -	Corvinus University of Budapest university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

2.5

number of students who fulfilled course requirements

1.5

students who obtained their degrees:

	Christian Weber	PhD	2020	DS-ICT-BCE
(50%)	Eszter Monda	PhD	2018	DS-ICT-BCE

Thesis topic proposals

Research
research area	Semantic Technologies Technology Enhanced Learning
research field in which current research is conducted	computer sciences business and management

Publications

2020

Meleg Ágnes, Vas Réka: Towards Evidence-Based, Data-Driven Thinking in Higher Education, LECTURE NOTES IN COMPUTER SCIENCE 12394: pp. 135-144.
type of document: Journal paper/Article
language: English
URL

2019

Szabó Ildikó, Vas Réka: Vacancy Mining to Design Personalized Learning Analytics for Future Employees, LECTURE NOTES IN COMPUTER SCIENCE 11709: pp. 58-69.
type of document: Journal paper/Article
language: English
URL

2019

Kő Andrea, Vas Réka, Kovács Tibor, Szabó Ildikó: Knowledge Creation from the Perspective of the Supply Chain, SOCIETY AND ECONOMY 41: (3) pp. 311-329.
type of document: Journal paper/Article
language: English
URL

2018

Vas Réka, Weber Christian, Gkoumas Dimitris: Implementing connectivism by semantic technologies for self-directed learning, INTERNATIONAL JOURNAL OF MANPOWER 39: (8) pp. 1032-1046.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL

2016

Khobreh Marjan, Ansari Fazel, Fathi Madjid, Vas Réka, Mol Stefan, Berkers Hannah, Varga Krisztian: An Ontology-based Approach for the Semantic Representation of Job Knowledge, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 4: (3) pp. 462-473.
type of document: Journal paper/Review paper
number of independent citations: 12
language: English
URL

2016

Réka Vas: STUDIO, In: András, Gábor; Andrea, Kő (szerk.) Corporate Knowledge Discovery and Organizational Learning, Springer International Publishing (2016) pp. 83-103.
type of document: Part of book/Könyvfejezet (to be translated)
number of independent citations: 3
language: English
URL

2012

Gábor Kismihók, Ildikó Szabó, Réka Vas: Six scenarios of exploiting an ontology based, mobilized learning environment, INTERNATIONAL JOURNAL OF MOBILE AND BLENDED LEARNING 4: (1) pp. 45-60.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL

2011

Gábor Kismihók, Réka Vas: Empirical research on learners’ thoughts about the impact of mobile technology on learning, INTERNATIONAL JOURNAL OF MOBILE AND BLENDED LEARNING 3: (1) pp. 73-88.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2009

Reka Vas, Barna Kovacs, Gabor Kismihok: Ontology-based mobile learning and knowledge testing, INTERNATIONAL JOURNAL OF MOBILE LEARNING AND ORGANIZATION 3: (2) pp. 128-147.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL

2007

Réka Vas: Educational Ontology and Knowledge Testing, ELECTRONIC JOURNAL OF KNOWLEDGE MANAGEMENT 5: (1) pp. 123-130.
type of document: Journal paper/Article
number of independent citations: 32
language: English
URL

Number of independent citations to these publications:

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

number of independent citations to scientific publications and creative works:

162

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).