Dušan Agrež

797 citations
49 papers · 599 · h-index 11

Impact in

Papers in

Dušan Agrež

44 papers receiving 563 citations

Peers

Dušan Agrež
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 553
  • Electronic, Optical and Magnetic Materials 155
  • Statistics, Probability and Uncertainty 37
  • Civil and Structural Engineering 105
  • Computer Vision and Pattern Recognition 82
Replace Józef Borkowski with:
Józef Borkowski Poland
Yann Le Bihan France
Luke Dosiek United States
Mehmet A. Belen Türkiye
Qiao Sun China
Haoyang Li China
Yangping Zhao China
K.R. Shao China
Adil Brouri Morocco
Dušan Agrež relative to Józef Borkowski Poland Józef Borkowski's profile →
Citations per field
00.5×2.8×
Józef Borkowski · 1×
Citations per year

Countries citing papers authored by Dušan Agrež

Since Specialization
Citations

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

Fields of papers citing papers by Dušan Agrež

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Dušan Agrež, 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 Dušan Agrež Line = papers co-authored together Dušan Agrež links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002229
2 200761
3 200553
4 200230
5 201325
6 200617
7 200216
8 200915
9 201015
10 200713
11 200311
12 20108
13 20068
14 20198
15 20067
16 20047
17 20047
18 20107
19 20016
20 20045

About Dušan Agrež

Dušan Agrež is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 49 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (44 papers), Magnetic Properties and Applications (22 papers), Power Quality and Harmonics (19 papers), Structural Health Monitoring Techniques (8 papers), Image and Signal Denoising Methods (7 papers), Scientific Measurement and Uncertainty Evaluation (6 papers), Soil Moisture and Remote Sensing (6 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (553 citations), Electronic, Optical and Magnetic Materials (155 citations), Statistics, Probability and Uncertainty (37 citations), Civil and Structural Engineering (105 citations) and Computer Vision and Pattern Recognition (82 citations). Dušan Agrež has collaborated with scholars based in Slovenia, Croatia and Belgium. Frequent co-authors include Emilia Nunzi, Tomáš Radil, Dario Petri, R. Lapuh, J. Schoukens, Rok Tavčar, Samo Beguš, Janko Drnovšek, Domen Hudoklin and Damijan Miljavec. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, Measurement Science and Technology, Computer Standards & Interfaces and Measurement Science Review.

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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