Jože M. Rožanec

985 total citations · 1 hit paper
37 papers, 470 citations indexed

About

Jože M. Rožanec is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jože M. Rožanec has authored 37 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Industrial and Manufacturing Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jože M. Rožanec's work include Industrial Vision Systems and Defect Detection (10 papers), Advanced Statistical Process Monitoring (7 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Jože M. Rožanec is often cited by papers focused on Industrial Vision Systems and Defect Detection (10 papers), Advanced Statistical Process Monitoring (7 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Jože M. Rožanec collaborates with scholars based in Slovenia, Greece and Netherlands. Jože M. Rožanec's co-authors include Dunja Mladenić, Blaž Fortuna, Klemen Kenda, Patrik Zajec, Dimosthenis Kyriazis, Kostas Kalaboukas, Inna Novalija, George Arampatzis, Sungho Suh and Thanassis Giannetsos and has published in prestigious journals such as International Journal of Production Research, Machine Learning and IEEE Internet of Things Journal.

In The Last Decade

Jože M. Rožanec

34 papers receiving 452 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human-centric artificial intelligence architecture for industry 5.0 applications

2022 137 citations Jože M. Rožanec, Inna Novalija et al. International Journal of Production Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jože M. Rožanec Slovenia	12	243	112	89	44	38	37	470
Xiaobing Lu China	6	228 0.9×	66 0.6×	63 0.7×	27 0.6×	49 1.3×	13	560
Johannes Wagner Germany	14	227 0.9×	58 0.5×	85 1.0×	15 0.3×	47 1.2×	56	493
John A. Horst United States	13	239 1.0×	47 0.4×	126 1.4×	44 1.0×	68 1.8×	43	480
Paweł Pawlewski Poland	10	194 0.8×	33 0.3×	65 0.7×	83 1.9×	60 1.6×	58	388
Berna Ulutaş Türkiye	12	276 1.1×	64 0.6×	49 0.6×	108 2.5×	59 1.6×	41	643
Fang Yu China	8	116 0.5×	45 0.4×	60 0.7×	69 1.6×	95 2.5×	26	435
Pourya Pourhejazy Taiwan	16	374 1.5×	51 0.5×	120 1.3×	42 1.0×	190 5.0×	58	670
Belgacem Bettayeb France	13	316 1.3×	38 0.3×	77 0.9×	30 0.7×	65 1.7×	43	516
Edward Elson Kosasih United Kingdom	9	258 1.1×	68 0.6×	154 1.7×	50 1.1×	163 4.3×	10	589

Countries citing papers authored by Jože M. Rožanec

Since Specialization

Citations

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

Fields of papers citing papers by Jože M. Rožanec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jože M. Rožanec. 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 Jože M. Rožanec. The network helps show where Jože M. Rožanec may publish in the future.

Co-authorship network of co-authors of Jože M. Rožanec

This figure shows the co-authorship network connecting the top 25 collaborators of Jože M. Rožanec. A scholar is included among the top collaborators of Jože M. Rožanec based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jože M. Rožanec. Jože M. Rožanec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rožanec, Jože M., et al.. (2025). Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach. Engineering Applications of Artificial Intelligence. 149. 110339–110339. 1 indexed citations

Zajec, Patrik, et al.. (2024). Few-shot learning for defect detection in manufacturing. International Journal of Production Research. 62(19). 6979–6998. 10 indexed citations

Rožanec, Jože M., et al.. (2024). An Extensive Characterization of Graph Sampling Algorithms. 135–140.

Rožanec, Jože M., et al.. (2023). Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques. IFAC-PapersOnLine. 56(2). 7846–7851. 3 indexed citations

Rožanec, Jože M., et al.. (2023). AI, What Does the Future Hold for Us? Automating Strategic Foresight. 247–248. 1 indexed citations

Rožanec, Jože M., et al.. (2023). Active learning and novel model calibration measurements for automated visual inspection in manufacturing. Journal of Intelligent Manufacturing. 35(5). 1963–1984. 11 indexed citations

Rožanec, Jože M., et al.. (2023). Machine-Learning-Based Soft Sensors for LPG Distillation Columns Quality Monitoring: Comparing Strategies for Zero-Inflated Data. 1–6. 1 indexed citations

Leban, Gregor, et al.. (2023). Semi-Supervised Event Predictions with Graph Networks. 245–246. 1 indexed citations

Suh, Sungho, Vítor Fortes Rey, Sizhen Bian, et al.. (2023). Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. IEEE Internet of Things Journal. 11(7). 11554–11565. 8 indexed citations

10.

Rožanec, Jože M., et al.. (2022). Towards a Comprehensive Visual Quality Inspection for Industry 4.0*. IFAC-PapersOnLine. 55(10). 690–695. 12 indexed citations

11.

Rožanec, Jože M.. (2022). Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand. MDPI (MDPI AG). 15 indexed citations

12.

Rožanec, Jože M., Inna Novalija, Patrik Zajec, et al.. (2022). Human-centric artificial intelligence architecture for industry 5.0 applications. International Journal of Production Research. 61(20). 6847–6872. 137 indexed citations breakdown →

13.

Arampatzis, George, Kostas Kalaboukas, Klemen Kenda, et al.. (2022). Cognitive Digital Twins for Resilience in Production: A Conceptual Framework. Information. 13(1). 33–33. 36 indexed citations

14.

Rožanec, Jože M., Inna Novalija, Patrik Zajec, et al.. (2022). Enriching Artificial Intelligence Explanations with Knowledge Fragments. Future Internet. 14(5). 134–134. 7 indexed citations

15.

Rožanec, Jože M., et al.. (2021). Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies. Applied Sciences. 11(15). 6787–6787. 33 indexed citations

16.

Rožanec, Jože M., et al.. (2021). Explaining Bad Forecasts in Global Time Series Models. Applied Sciences. 11(19). 9243–9243. 2 indexed citations

17.

Zajec, Patrik, Jože M. Rožanec, Inna Novalija, et al.. (2021). Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing. Information. 12(11). 473–473. 5 indexed citations

18.

Rožanec, Jože M., Blaž Fortuna, & Dunja Mladenić. (2021). Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI). Information Fusion. 81. 91–102. 35 indexed citations

19.

Kalaboukas, Kostas, et al.. (2021). Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model. Applied Sciences. 11(9). 4103–4103. 21 indexed citations

20.

Rožanec, Jože M., Jinzhi Lu, George Arampatzis, et al.. (2021). Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring. Applied Sciences. 11(24). 11790–11790. 10 indexed citations

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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