Ivan Štajduhar

1.1k total citations
54 papers, 736 citations indexed

About

Ivan Štajduhar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ivan Štajduhar has authored 54 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ivan Štajduhar's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Seismology and Earthquake Studies (6 papers). Ivan Štajduhar is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Seismology and Earthquake Studies (6 papers). Ivan Štajduhar collaborates with scholars based in Croatia, Austria and Italy. Ivan Štajduhar's co-authors include Alberto Michelini, Dario Jozinović, Anthony Lomax, Jonatan Lerga, Damir Miletić, Gözde Ünal, Franko Hržić, Marko Čanađija, Sebastian Tschauner and Goran Mauša and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Ivan Štajduhar

52 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Štajduhar Croatia 15 255 131 95 83 73 54 736
Xingjian Li China 14 335 1.3× 30 0.2× 175 1.8× 46 0.6× 46 0.6× 57 782
Shihong Yue China 16 187 0.7× 117 0.9× 110 1.2× 119 1.4× 26 0.4× 114 830
Jianxiang Feng China 8 209 0.8× 9 0.1× 92 1.0× 34 0.4× 42 0.6× 27 630
Osman Nuri Uçan Türkiye 13 205 0.8× 41 0.3× 132 1.4× 43 0.5× 122 1.7× 67 590
Fırat Hardalaç Türkiye 16 198 0.8× 7 0.1× 152 1.6× 173 2.1× 229 3.1× 79 1.1k
Manar Ahmed Hamza Saudi Arabia 16 333 1.3× 19 0.1× 199 2.1× 53 0.6× 86 1.2× 140 998
Tao Zhou China 14 365 1.4× 7 0.1× 274 2.9× 105 1.3× 344 4.7× 132 1.1k
Osman N. Uçan Türkiye 16 333 1.3× 102 0.8× 321 3.4× 74 0.9× 100 1.4× 134 990
Huiling Lu China 9 291 1.1× 6 0.0× 151 1.6× 59 0.7× 272 3.7× 43 682
Mohammad Mustafa Taye Jordan 2 179 0.7× 5 0.0× 104 1.1× 58 0.7× 71 1.0× 7 772

Countries citing papers authored by Ivan Štajduhar

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Štajduhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Štajduhar

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

All Works

20 of 20 papers shown
1.
Grošelj, Aleš, et al.. (2025). Skin Lesion Classification in Head and Neck Cancers Using Tissue Index Images Derived from Hyperspectral Imaging. Cancers. 17(10). 1622–1622. 1 indexed citations
2.
Štajduhar, Ivan, et al.. (2025). Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks. Journal of Biomedical Optics. 30(1). 16004–16004. 1 indexed citations
3.
Scherkl, Mario, et al.. (2025). Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays. European Radiology. 35(11). 6853–6864. 2 indexed citations
4.
Hržić, Franko, et al.. (2025). Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology. Scientific Reports. 15(1). 21622–21622. 2 indexed citations
5.
Kamberaj, Hiqmet, Sergio Gálvez, Eduard Petlenkov, et al.. (2024). Transversal skills in applied Artificial Intelligence - the case of the financial sector. e-mentor. 104(2). 82–90.
6.
Nagy, Eszter, et al.. (2024). Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia. Journal of Imaging Informatics in Medicine. 38(1). 177–190. 2 indexed citations
7.
Štajduhar, Ivan, et al.. (2024). Fast and accurate skin parameter estimation from hyperspectral images using random Fourier features. 20. 107–107. 1 indexed citations
8.
Štajduhar, Ivan, et al.. (2023). Data-driven Model for Indoor Temperature Prediction in HVAC-Supported Buildings. 1–6. 2 indexed citations
9.
Štajduhar, Ivan, et al.. (2023). Revolutionizing Soccer Injury Management: Predicting Muscle Injury Recovery Time Using ML. Applied Sciences. 13(10). 6222–6222. 6 indexed citations
10.
Štajduhar, Ivan, et al.. (2023). Development of a Building Simulation Model for Indoor Temperature Prediction and HVAC System Anomaly Detection. DergiPark (Istanbul University). 7(4). 339–349. 2 indexed citations
11.
Štajduhar, Ivan, et al.. (2022). Rapid extraction of skin physiological parameters from hyperspectral images using machine learning. Applied Intelligence. 53(13). 16519–16539. 7 indexed citations
12.
13.
Hržić, Franko, Sebastian Tschauner, Erich Sorantin, & Ivan Štajduhar. (2021). XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis. Computers in Biology and Medicine. 132. 104300–104300. 16 indexed citations
14.
15.
Jozinović, Dario, Anthony Lomax, Ivan Štajduhar, & Alberto Michelini. (2021). Rapid prediction of earthquake ground shaking intensity using raw waveform data and a Convolutional Neural Network. 461–464. 4 indexed citations
16.
Lerga, Jonatan, et al.. (2019). Sopele music dataset. Data in Brief. 28. 104840–104840.
17.
Štajduhar, Ivan, et al.. (2016). Semi-automated detection of anterior cruciate ligament injury from MRI. Computer Methods and Programs in Biomedicine. 140. 151–164. 77 indexed citations
18.
Štajduhar, Ivan, et al.. (2010). Learning Bayesian networks from survival data using weighting censored instances. Journal of Biomedical Informatics. 43(4). 613–622. 17 indexed citations
19.
Štajduhar, Ivan, et al.. (2009). Impact of censoring on learning Bayesian networks in survival modelling. Artificial Intelligence in Medicine. 47(3). 199–217. 28 indexed citations
20.
Štajduhar, Ivan & Ivan Bratko. (2007). Likelihood based classification in Bayesian networks. 335–340. 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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