Patrik Zajec
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- Industrial Vision Systems and Defect Detection 8
- Digital Transformation in Industry 2
- Management Information Systems top 10%
- Big Data and Business Intelligence 3
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- Image and Object Detection Techniques 4
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- Advanced Statistical Process Monitoring 3
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- Machine Learning and Algorithms 2
- Explainable Artificial Intelligence (XAI) 2
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- Forecasting Techniques and Applications 2
- Co-authors
- Jože M. RožanecDunja MladenićBlaž FortunaInna NovalijaKlemen KendaDimosthenis KyriazisThanassis GiannetsosSungho Suh
- Journals
- International Journal of Production Research (2 papers)Machine Learning (1 paper)Journal of Intelligent Manufacturing (2 papers)
- Partner nations
- SloveniaGreeceNetherlands
In The Last Decade
Patrik Zajec
13 papers receiving 210 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Industrial and Manufacturing Engineering 142
- Management Information Systems 36
- Health Informatics 4
- Medical Laboratory Technology 4
- Management of Technology and Innovation 14
Countries citing papers authored by Patrik Zajec
This map shows the geographic impact of Patrik Zajec'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 Patrik Zajec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrik Zajec more than expected).
Fields of papers citing papers by Patrik Zajec
This network shows the impact of papers produced by Patrik Zajec. 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 Patrik Zajec. The network helps show where Patrik Zajec may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Patrik Zajec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 12 | |
| 10 | Human-centric artificial intelligence architecture for industry 5.0 applicationsbreakdown → | 2022 | 137 |
| 11 | 2022 | 7 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 5 |
About Patrik Zajec
Patrik Zajec is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Management Information Systems, having authored 13 papers that have together received 218 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (8 papers), Image and Object Detection Techniques (4 papers), Big Data and Business Intelligence (3 papers), Advanced Statistical Process Monitoring (3 papers), Machine Learning and Algorithms (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Digital Transformation in Industry (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (142 citations), Management Information Systems (36 citations) and Health Informatics (4 citations). Patrik Zajec has collaborated with scholars based in Slovenia, Greece and Netherlands. Frequent co-authors include Jože M. Rožanec, Dunja Mladenić, Blaž Fortuna, Inna Novalija, Klemen Kenda, Dimosthenis Kyriazis, Thanassis Giannetsos, Sungho Suh, Rubén Alonso and Sofia Anna Menesidou. Their work appears in journals such as International Journal of Production Research, Machine Learning and Journal of Intelligent Manufacturing.
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.