Jan Magott

29 papers receiving 318 citations

Peers

Jan Magott
Comparison fields: 5 of 56
  • Statistics, Probability and Uncertainty 101
  • Software 42
  • Radiological and Ultrasound Technology 48
  • Hardware and Architecture 59
  • Computational Theory and Mathematics 119
Replace Leı̈la Kloul with:
Leı̈la Kloul France
Andrew J. Kornecki United States
Mario Trapp Germany
Bryan M. O’Halloran United States
Nga Nguyen France
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Citations per year

Countries citing papers authored by Jan Magott

Since Specialization
Citations

This map shows the geographic impact of Jan Magott'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 Jan Magott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Magott more than expected).

Fields of papers citing papers by Jan Magott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Magott. 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 Jan Magott. The network helps show where Jan Magott may publish in the future.

Co-authors

The 8 scholars most cited alongside Jan Magott, 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 Jan Magott Line = papers co-authored together Jan Magott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198481
2 201856
3 199327
4 200222
5 201122
6 201520
7 200217
8 198715
9
Analysis of transportation system with the use of Petri nets
200912
10 200312
11
QualitySpy: a framework for monitoring software development processes
20129
12 19859
13 20109
14
Analysis of logistic support system using fault trees with time dependencies
20074
15 19924
16 20064
17 20074
18 20114
19 19874
20 20144

About Jan Magott

Jan Magott is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (11 papers), Risk and Safety Analysis (7 papers), Formal Methods in Verification (7 papers), Reliability and Maintenance Optimization (5 papers), Smart Grid Security and Resilience (5 papers), Real-Time Systems Scheduling (5 papers), Software Reliability and Analysis Research (4 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (101 citations), Software (42 citations), Radiological and Ultrasound Technology (48 citations), Hardware and Architecture (59 citations) and Computational Theory and Mathematics (119 citations). Jan Magott has collaborated with scholars based in Poland and United States. Frequent co-authors include Jacek Skorupski, Bruce H. Krogh, L.E. Holloway, Tomasz Nowakowski, Marian Jureczko, Sylwia Werbińska-Wojciechowska, Marcin Kowalski and A. Lewiński. Their work appears in journals such as Archives of Transport, European Journal of Operational Research, Eksploatacja i Niezawodnosc - Maintenance and Reliability, Electric Power Systems Research and Fuzzy Sets and Systems.

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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