Peter Papcun

2.9k citations
24 papers · 396 · h-index 10

Impact in

Papers in

Peter Papcun

21 papers receiving 378 citations

Peers

Peter Papcun
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 141
  • Medical Laboratory Technology 14
  • Computer Networks and Communications 127
  • Management Information Systems 26
  • Information Systems 57
Replace Erik Kajáti with:
Erik Kajáti Slovakia
Jozef Mocnej Slovakia
Martin Miškuf Slovakia
Mahnoor Yaqoob United Kingdom
Rafał Cupek Poland
William Davis United Kingdom
Juuso Autiosalo Finland
Linus Atorf Germany
Sakari Pieskä Finland
Cristina Morariu Romania
Peter Papcun relative to Erik Kajáti Slovakia Erik Kajáti's profile →
Citations per field
00.5×
Erik Kajáti · 1×
Citations per year

Countries citing papers authored by Peter Papcun

Since Specialization
Citations

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

Fields of papers citing papers by Peter Papcun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Peter Papcun, 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 Peter Papcun Line = papers co-authored together Peter Papcun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018110
2 201853
3 202042
4 201831
5 201926
6 202222
7 201922
8 201920
9 201618
10 202313
11 20219
12
Cloud-based control of industrial cyber-physical systems
20186
13 20245
14 20175
15 20234
16 20163
17 20122
18 20141
19 20161
20
Riadenie robota integrovaného v pružnom výrobnom systéme
20121

About Peter Papcun

Peter Papcun is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 24 papers that have together received 396 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Digital Transformation in Industry (5 papers), Context-Aware Activity Recognition Systems (4 papers), Robotics and Automated Systems (4 papers), Manufacturing Process and Optimization (3 papers), Cognitive Science and Mapping (2 papers), Robotic Path Planning Algorithms (2 papers) and Impact of Light on Environment and Health (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Medical Laboratory Technology (14 citations), Computer Networks and Communications (127 citations), Management Information Systems (26 citations) and Information Systems (57 citations). Peter Papcun has collaborated with scholars based in Slovakia, Czechia and Hungary. Frequent co-authors include Iveta Zolotová, Erik Kajáti, Jozef Mocnej, Martin Miškuf, Jiří Koziorek, Adrián Pekár, Chao Liu, Ray Y. Zhong, Winston K.G. Seah and Radek Martínek. Their work appears in journals such as Electronics, Sensors, Advanced Engineering Informatics, Computers & Industrial Engineering and IEEE Internet of Things Journal.

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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