Zoltán Pödör - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2024. II. 22.

Personal data

name	Zoltán Pödör
name of institution	Eötvös Loránd University, Budapest University of Sopron
doctoral school	ELTE Doctoral School of Informatics (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. ) SOE Jozsef Cziraki Doctoral School of Wood Sciences and Technologies (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 99% SOE Jozsef Cziraki Doctoral School of Wood Sciences and Technologies 1%
accreditation statement submitted to:	Eötvös Loránd University, Budapest

Contact details
E-mail address	pzinf.elte.hu

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2014
discipline to which degree belongs	material sciences
institution granting the degree	University of West Hungary

Employment
2020 -	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

0.5

students who obtained their degrees:

completed course requirement:

(50%)

Gábor Fekets

(PhD)

2018/08

JCDS

present PhD students:

(50%)

Ayah Masoud Hijazi

(PhD)

(2026/08)

IDI2-ELTE

Thesis topic proposals

Research
research area	Data Mining, Statistical Analysis, Time Series Analysis
research field in which current research is conducted	computer sciences agricultural engineering

Publications

2023

Veronika Honfy, Zoltán Pödör, Zsolt Keserű, János Rásó, Tamás Ábri, Attila Borovics: The Effect of Tree Spacing on Yields of Alley Cropping Systems—A Case Study from Hungary, PLANTS-BASEL 12: (3) 595
type of document: Journal paper/Article
language: English
URL

2023

Zoltán Pödör, Gergely Bencsik: New Research Methodology to Analyze Time Series and Correlations’ Reliability, In: Boudia, Mohamed Amine; Eom, Sean; Lejdel, Brahim; Balas, Valentina Emilia; Laouar, Mohamed Ridda (szerk.) 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”, Springer-Verlag (2023) pp. 177-185.
type of document: Part of book/Proceedings Paper
language: English
URL

2022

Pödör Zoltán, Szabó Anna: A practical framework to generate and manage synthetic sensor data, INFOCOMMUNICATIONS JOURNAL 14: (2) pp. 64-72.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2022

Pödör Zoltán, Szabó Anna: Mesterséges szenzoradatok generálása és tárolása, MÉRNÖKI ÉS INFORMATIKAI MEGOLDÁSOK / ENGINEERING AND IT SOLUTIONS 2022: (1) pp. 4-10.
type of document: Journal paper/Article
language: Hungarian
URL

2020

Janik G, Pödör Z, Koltay A, Hirka A, Juhász J, Kovács Gy, Csóka Gy: Effects of Meteorological and Site Parameters on the Health Status of Beech (Fagus sylvatica L.) Forests in Hungary, ACTA SILVATICA ET LIGNARIA HUNGARICA: AN INTERNATIONAL JOURNAL IN FOREST, WOOD AND ENVIRONMENTAL SCIENCES 16: (2) pp. 67-78.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2018

Farkas Károly, Pödör Zoltán, Mezei Gergely, Somogyi Ferenc: Data interoperability across IoT domains, INTERNATIONAL JOURNAL OF COMPUTERS 12: pp. 60-65.
type of document: Journal paper/Article
number of independent citations: 4
language: English

2018

Csóka György, Hirka Anikó, Szőcs Levente, Móricz Norbert, Rasztovics Ervin, Pödör Zoltán: Weather-dependent fluctuations in the abundance of the oak processionary moth, Thaumetopoea processionea (Lepidoptera: Notodontidae), EUROPEAN JOURNAL OF ENTOMOLOGY 115: pp. 249-255.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2017

Pödör Zoltán, Gludovátz Attila, Bacsárdi László, Erdei Imre, Ferenc Nándor Janky: Industrial IoT techniques and solutions in wood industrial manufactures, INFOCOMMUNICATIONS JOURNAL 9: (4) pp. 24-30.
type of document: Journal paper/Article
number of independent citations: 10
language: English

2015

Csóka Gy, Pödör Z, Nagy Gy, Hirka A: Canopy recovery of pedunculate oak, Turkey oak and beech trees after severe defoliation by gypsy moth (Lymantria dispar): Case study from Western Hungary, LESNICKY CASOPIS - FORESTRY JOURNAL 61: (3) pp. 143-148.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2014

Pödör Zoltán, Manninger Miklós, Jereb László: Application of Sigmoid Models for Growth Investigations of Forest Trees, In: Tien, Van Do; Hoai, An Le Thi; Ngoc, Thanh Nguyen (szerk.) Advanced Computational Methods for Knowledge Engineering, Springer-Verlag (2014) pp. 353-364.
type of document: Part of book/Proceedings Paper
number of independent citations: 17
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:

scientific publications published abroad that meet the accreditation criteria:

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

number of independent citations to scientific publications and creative works: