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personal data approved: 2022. XI. 16.
Personal data
name Viktor Molnár
name of institution
doctoral school
ME Hantos Elemér Doctoral School of Business, Management and Regional Sciences (Academic staff member)
ME István Sályi Doctoral School of Mechanical Engineering Sciences (Academic staff member)
the share of work in the different doctoral schools. ME Hantos Elemér Doctoral School of Business, Management and Regional Sciences 20%
ME István Sályi Doctoral School of Mechanical Engineering Sciences 80%
accreditation statement submitted to: University of Miskolc
Academic title
scientific degree, title Ph.D.
year degree was obtained 2014
discipline to which degree belongs business and management
institution granting the degree University of Miskolc
Employment
2014 - University of Miskolc
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 1
students who obtained their degrees:
  Thesis topic proposals
Research
research area Precision machining, surface integrity
research field in which current research is conducted material sciences
Publications
2022

Molnar Viktor: Tribological Properties and 3D Topographic Parameters of Hard Turned and Ground Surfaces, MATERIALS 15: (7) 2505
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2022

Molnar Viktor: Asymmetric Height Distribution of Surfaces Machined by Hard Turning and Grinding, SYMMETRY 14: (8) 1591
type of document: Journal paper/Article
language: English
URL 
2022

Molnar Viktor, Szabo Gergely: Designation of minimum measurement area for the evaluation of 3D surface texture, JOURNAL OF MANUFACTURING PROCESSES 83: pp. 40-48.
type of document: Journal paper/Article
language: English
URL 
2021

Molnár Viktor: Minimization Method for 3D Surface Roughness Evaluation Area, MACHINES 9: (9) 192
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2021

Kundrák J., Sztankovics I., Molnár V.: Accuracy and topography analysis of hard machined surfaces, MANUFACTURING TECHNOLOGY 21: (4) pp. 512-519.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2021

Molnár Viktor, Sztankovics István: Analysis of Roughness Parameters Determining Tribological Properties in Hard Turned Surfaces, HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY 49: (2) pp. 77-84.
type of document: Journal paper/Article
language: English
URL 
2018

Janos Kundrak, Viktor Molnar, Istvan Deszpoth: Comparative Analysis of Machining Procedures, MACHINES 6: (2) pp. 1-10.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2018

Janos Kundrak, Viktor Molnar, Istvan Deszpoth: MRR-Based Productivity Decisions in Hard Machining, WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 14: pp. 374-382.
type of document: Journal paper/Article
number of independent citations: 2
language: English
Full text 
2018

Janos Kundrak, Viktor Molnar, Istvan Deszpoth: Decision-making in procedure selection on the basis of efficiency in machining hardened surfaces, INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING 3: (1) pp. 36-42.
type of document: Journal paper/Article
number of independent citations: 2
language: English
2017

Viktor Molnar: Indirect Impacts of Drastic Scrap Rate Reduction on Costs of Production Process in Precision Machining, SOLID STATE PHENOMENA 261: pp. 487-494.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
Number of independent citations to these publications:28 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
84
number of scientific publications:
83
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
198

 
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. )