J. Bednář

65 papers receiving 716 citations

J. Bednář's Hit Papers

Predictive Maintenance and Intelligent Sensors in Smart Factory: Review 2021 · 232 citations
2320+1+3Years since publication50100150200

Peers

J. Bednář
Comparison fields: 5 of 118
  • Medical Laboratory Technology 29
  • Industrial and Manufacturing Engineering 160
  • Radiation 86
  • Animal Science and Zoology 65
  • Radiological and Ultrasound Technology 31
Replace Shaohua Huang with:
Shaohua Huang China
Mohammad Reza Ghasemi Iran
Mohammed Balubaid Saudi Arabia
André Felipe Henriques Librantz Brazil
Xinghui Zhang China
Xinan Chen China
Joe H. Mize United States
Ralph W. Pike United States
R. Craig Van Nostrand United States
Prabir K. Basu India
J. Bednář relative to Shaohua Huang China Shaohua Huang's profile →
Citations per field
00.5×9.7×
Shaohua Huang · 1×
Citations per year

Countries citing papers authored by J. Bednář

Since Specialization
Citations

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

Fields of papers citing papers by J. Bednář

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Hit paper breakdown →
2021232
2 2020108
3 201948
4 199647
5 202028
6 201920
7 202020
8 198919
9 196916
10 196916
11 202014
12 199613
13 201512
14 202110
15 20249
16 19678
17 19958
18 20057
19 19687
20 20246

About J. Bednář

J. Bednář is a scholar working on Materials Chemistry, Biomedical Engineering, Radiation, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 69 papers that have together received 764 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (8 papers), Radiation Detection and Scintillator Technologies (8 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Nuclear Physics and Applications (7 papers), Radiation Therapy and Dosimetry (6 papers), Radiation Effects and Dosimetry (5 papers), Radioactive element chemistry and processing (5 papers) and Thermal and Kinetic Analysis (4 papers). The work is most often cited by research in Medical Laboratory Technology (29 citations), Industrial and Manufacturing Engineering (160 citations), Radiation (86 citations), Animal Science and Zoology (65 citations) and Radiological and Ultrasound Technology (31 citations). J. Bednář has collaborated with scholars based in Czechia, Germany and France. Frequent co-authors include Jaroslav Vrchota, Martin Pech, Richard Dvorský, F. Spurný, Ladislav Svoboda, Josef Kamení­k, Lennart Johansson, K. Turek, Dalibor Matýsek and Jiří Henych. Their work appears in journals such as Radiation Measurements, Applied Surface Science, Scientific Reports, Separation and Purification Technology and Dalton Transactions.

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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