P. Marcoň

990 citations
58 papers · 657 indexed · h-index 12

Impact in

Papers in

P. Marcoň

51 papers receiving 628 citations

Peers

P. Marcoň
Comparison fields: 5 of 102
  • Industrial and Manufacturing Engineering 361
  • Management of Technology and Innovation 51
  • Management Information Systems 53
  • Medical Laboratory Technology 8
  • Computer Networks and Communications 97
Replace Robert I. Young with:
Robert I. Young United Kingdom
Hongxia Sun China
Shubham Agrawal India
Bingbing Lei China
Rafael Batres Japan
Benjamin Haefner Germany
Sanja Bauk Montenegro
Alican Doğan Türkiye
Jihong Pang China
Alptekin Durmuşoğlu Türkiye
P. Marcoň relative to Robert I. Young United Kingdom Robert I. Young's profile →
Citations per field
00.5×2.8×
Robert I. Young · 1×
Citations per year

Countries citing papers authored by P. Marcoň

Since Specialization
Citations

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

Fields of papers citing papers by P. Marcoň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Marcoň, 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 P. Marcoň Line = papers co-authored together P. Marcoň links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016241
2 201858
3 202141
4 201740
5 202122
6 201822
7 201121
8
Overview of Methods for Magnetic Susceptibility Measurement
201218
9
The Asset Administration Shell of Operator in the Platform of Industry 4.0
201817
10 201916
11 201915
12 201211
13 20189
14 20188
15 20198
16 20178
17 20218
18 20237
19 20227
20 20225

About P. Marcoň

P. Marcoň is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 657 indexed citations. Recurring topics across this work include Digital Transformation in Industry (16 papers), Advanced MRI Techniques and Applications (7 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), NMR spectroscopy and applications (5 papers), Manufacturing Process and Optimization (4 papers), IoT and Edge/Fog Computing (4 papers), Wireless Sensor Networks for Data Analysis (4 papers) and Energy Harvesting in Wireless Networks (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (361 citations), Management of Technology and Innovation (51 citations), Management Information Systems (53 citations), Medical Laboratory Technology (8 citations) and Computer Networks and Communications (97 citations). P. Marcoň has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include F. Zezulka, I. Veselý, O. Sajdl, Zdeněk Bradáč, Jakub Arm, K. Bartušek, Z Roubal, Z. Dokoupil, A. Belyaev and Christian Diedrich. Their work appears in journals such as Sensors, Remote Sensing, IFAC-PapersOnLine, Scientific Reports and Microsystem Technologies.

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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