Dunja Mladenić

6.0k total citations · 1 hit paper
168 papers, 2.9k citations indexed

About

Dunja Mladenić is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dunja Mladenić has authored 168 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 46 papers in Information Systems and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dunja Mladenić's work include Semantic Web and Ontologies (48 papers), Topic Modeling (30 papers) and Natural Language Processing Techniques (29 papers). Dunja Mladenić is often cited by papers focused on Semantic Web and Ontologies (48 papers), Topic Modeling (30 papers) and Natural Language Processing Techniques (29 papers). Dunja Mladenić collaborates with scholars based in Slovenia, United States and United Kingdom. Dunja Mladenić's co-authors include Marko Grobelnik, Blaž Fortuna, Nenad Tomašev, Janez Brank, Jože M. Rožanec, Nataša Milić-Frayling, Miloš Radovanović, Mirjana Ivanović, Klemen Kenda and Nada Lavrač and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dunja Mladenić

160 papers receiving 2.6k 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

Dunja Mladenić

AI

IS

CVPR

MB

CNC

Ngoc Thanh Nguyên Poland

Ah‐Hwee Tan Singapore

Behrouz Minaei‐Bidgoli Iran

Diego Reforgiato Recupero Italy

Marko Grobelnik Slovenia

Wenjie Li China

Mirjana Ivanović Serbia

Stefan Wrobel Germany

Anna Monreale Italy

Ngoc Thanh Nguyên Poland

Dunja Mladenić

1.5k ×0.9

AI

841 ×1.0

IS

225 ×0.5

CVPR

164 ×0.7

MB

338 ×1.5

CNC

Citations per year, relative to Dunja Mladenić Dunja Mladenić (= 1×) peers Ngoc Thanh Nguyên

Countries citing papers authored by Dunja Mladenić

Since Specialization

Citations

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

Fields of papers citing papers by Dunja Mladenić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dunja Mladenić

This figure shows the co-authorship network connecting the top 25 collaborators of Dunja Mladenić. A scholar is included among the top collaborators of Dunja Mladenić 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 Dunja Mladenić. Dunja Mladenić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

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

2.

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

3.

Mladenić, Dunja, et al.. (2024). Evaluating Text Generation Model Performance by Combining Semantic Meaning and Word Order. IEEE Access. 12. 95265–95277.

4.

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

5.

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

6.

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

7.

Mladenić, Dunja, et al.. (2022). Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval. Knowledge-Based Systems. 244. 108545–108545. 8 indexed citations

8.

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 →

9.

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

10.

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

11.

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

12.

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

13.

Kenda, Klemen, et al.. (2019). Streaming Data Fusion for the Internet of Things. Sensors. 19(8). 1955–1955. 29 indexed citations

14.

Lužar, Borut, et al.. (2016). Core-periphery dynamics in collaboration networks: the case study of Slovenia. Scientometrics. 109(3). 1561–1578. 3 indexed citations

15.

Novalija, Inna & Dunja Mladenić. (2013). APPLYING SEMANTIC TECHNOLOGY TO BUSINESS NEWS ANALYSIS. Applied Artificial Intelligence. 27(6). 520–550. 3 indexed citations

16.

Fortuna, Blaž, et al.. (2011). Semantic technologies for Personal Information Management. Information Technology Interfaces. 187–192. 1 indexed citations

17.

Fortuna, Blaž, et al.. (2009). Semantic Graphs Derived from Triplets with Application in Document Summarization. Informatica (slovenia). 33. 357–362. 24 indexed citations

18.

Berendt, Bettina, Andreas Hotho, Dunja Mladenić, et al.. (2004). Web Mining: From Web to Semantic Web: First European Web Mining Forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers (Lecture Notes in Computer Science). Springer eBooks. 5 indexed citations

19.

Grobelnik, Marko & Dunja Mladenić. (2002). Efficient Visualization of Large Text Corpora. Acta Neuropathologica Communications. 11(1). 106–106. 8 indexed citations

20.

Joachims, Thorsten & Dunja Mladenić. (1998). Browsing-Assistenten, Tour Guides und adaptive WWW-Server.. Künstliche Intell.. 12. 23–29. 1 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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