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Personal data sheet
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personal data approved: 2024. II. 22.
Personal data
Zoltán Pödör
name Zoltán Pödör
name of institution
doctoral school
ELTE Doctoral School of Informatics (Supervisor)
SOE Jozsef Cziraki Doctoral School of Wood Sciences and Technologies (Academic staff member)
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 2
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:55 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
85
number of scientific publications:
78
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
19
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
16
number of independent citations to scientific publications and creative works:
94


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).
 
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. )