István Majzik

1.7k citations
84 papers · 1.3k · h-index 17

Impact in

  • Software top 0.5%
    • Model-Driven Software Engineering Techniques
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Formal Methods in Verification

Papers in

    • Software Testing and Debugging Techniques 27
    • Software Reliability and Analysis Research 26
    • Model-Driven Software Engineering Techniques 22
    • Formal Methods in Verification 43
    • Petri Nets in System Modeling 19

István Majzik

78 papers receiving 1.2k citations

Peers

István Majzik
Comparison fields: 5 of 61
  • Software 858
  • Computational Theory and Mathematics 559
  • Hardware and Architecture 127
  • Artificial Intelligence 572
  • Safety, Risk, Reliability and Quality 142
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Citations per field
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Citations per year

Countries citing papers authored by István Majzik

Since Specialization
Citations

This map shows the geographic impact of István Majzik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by István Majzik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Majzik more than expected).

Fields of papers citing papers by István Majzik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by István Majzik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by István Majzik. The network helps show where István Majzik may publish in the future.

Co-authors

The 25 scholars most cited alongside István Majzik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with István Majzik Line = papers co-authored together István Majzik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999237
2 1999144
3 2002143
4
Dependability analysis in the early phases of UML-based system design
200185
5 200347
6 201641
7 201738
8 201234
9 201933
10 200329
11 200327
12 202025
13 200124
14 201823
15 200421
16 199319
17 201018
18 200514
19
Completeness and Consistency Analysis of UML Statechart Specifications
200014
20 200213

About István Majzik

István Majzik is a scholar working on Software, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Formal Methods in Verification (43 papers), Software Testing and Debugging Techniques (27 papers), Software Reliability and Analysis Research (26 papers), Model-Driven Software Engineering Techniques (22 papers), Petri Nets in System Modeling (19 papers), Advanced Software Engineering Methodologies (18 papers), Radiation Effects in Electronics (10 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Software (858 citations), Computational Theory and Mathematics (559 citations), Hardware and Architecture (127 citations), Artificial Intelligence (572 citations) and Safety, Risk, Reliability and Quality (142 citations). István Majzik has collaborated with scholars based in Hungary, Italy and Switzerland. Frequent co-authors include Diego Latella, Mieke Massink, András Pataricza, Andrea Bondavalli, Dániel Varró, Zoltán Micskei, Enrique Blanco Viñuela, Iván Mura, Mario Dal Cin and Gergő Pintér. Their work appears in journals such as Lecture notes in computer science, Science of Computer Programming, Formal Aspects of Computing, Systems Engineering and Acta Informatica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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