Marko Grahovac

594 total citations
12 papers, 206 citations indexed

About

Marko Grahovac is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marko Grahovac has authored 12 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marko Grahovac's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and AI in cancer detection (4 papers). Marko Grahovac is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and AI in cancer detection (4 papers). Marko Grahovac collaborates with scholars based in Austria, Croatia and China. Marko Grahovac's co-authors include László Papp, Marcus Hacker, Thomas Beyer, Ivo Rausch, Tatjana Traub‐Weidinger, Wolfgang Wadsak, Victor Schmidbauer, Markus Mitterhauser, Nina Pötsch and Barbara Kiesel and has published in prestigious journals such as Scientific Reports, Nutrients and Neural Networks.

In The Last Decade

Marko Grahovac

10 papers receiving 204 citations

Peers

Countries citing papers authored by Marko Grahovac

Since Specialization

Citations

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

Fields of papers citing papers by Marko Grahovac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Grahovac

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Endocannabinoid and AGE Interactions in Prediabetes: The Role of Mediterranean Diet Adherence 2025 ·Nutrients ·Marko Grahovac, Marko Kumrić, Marino Vilović, Daniela Šupe‐Domić, (unknown), Josipa Bukić, (unknown), Joško Božić	0
2	Evaluation of Reporting Quality of Glaucoma Randomized Controlled Trial Abstracts: Current Status and Future Perspectives 2024 ·Life ·(unknown), Josipa Bukić, Doris Rušić, Dario Leskur, Ana Šešelja Perišin, (unknown), Marko Grahovac, Darko Modun	1
3	Safety reporting in trials on glaucoma interventions registered in ClinicalTrials.gov and corresponding publications 2024 ·Scientific Reports ·(unknown), Marko Grahovac, Ljubo Znaor, Ana Marušić	3
4	DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters 2023 ·Neural Networks ·László Papp, (unknown), (unknown), Clemens P. Spielvogel, (unknown), Marko Grahovac, (unknown), Wolfgang Drexler	0
5	Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts 2023 ·European Journal of Nuclear Medicine and Molecular Imaging ·Marko Grahovac, Clemens P. Spielvogel, (unknown), (unknown), Tatjana Traub‐Weidinger, Sazan Rasul, (unknown), Mengjie Zhao, Xiang Li, Marcus Hacker, Alexander Haug, László Papp	6
6	Automated data preparation for in vivo tumor characterization with machine learning 2022 ·Frontiers in Oncology ·(unknown), Clemens P. Spielvogel, Marko Grahovac, (unknown), Sazan Rasul, (unknown), Tatjana Traub‐Weidinger, Alexander Haug, (unknown), Hussain Alizadeh, Marcus Hacker, Thomas Beyer, László Papp	6
7	Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma 2022 ·European Radiology ·(unknown), (unknown), László Papp, Marko Grahovac, Shaomin Yang, (unknown), (unknown), Clemens P. Spielvogel, (unknown), Alexander Haug, Shiwei Wang, Marcus Hacker, (unknown), Xiang Li	12
8	Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics 2021 ·Cancers ·(unknown), László Papp, (unknown), H. Magometschnigg, Marko Grahovac, Clemens P. Spielvogel, (unknown), Zsuzsanna Bagó-Horváth, Alexander Haug, Georgios Karanikas, Thomas Beyer, Marcus Hacker, Thomas H. Helbich, Katja Pinker	39
9	3D ultrasound guided navigation system with hybrid image fusion 2021 ·Scientific Reports ·(unknown), (unknown), Michael Figl, Marko Grahovac, Gábor Fichtinger, Johann Hummel	1
10	A Sneak-Peek into the Physician’s Brain: A Retrospective Machine Learning-Driven Investigation of Decision-Making in TAVR versus SAVR for Young High-Risk Patients with Severe Symptomatic Aortic Stenosis 2021 ·Journal of Personalized Medicine ·Ena Hašimbegović, László Papp, Marko Grahovac, (unknown), (unknown), Waseem Hasan, Martin Andreas, Christoph Gross, (unknown), Georg Delle‐Karth, Martin Grabenwöger, Christopher Adlbrecht, Markus Mach	12
11	Optimized Feature Extraction for Radiomics Analysis of ¹⁸F-FDG PET Imaging 2018 ·Journal of Nuclear Medicine ·László Papp, Ivo Rausch, Marko Grahovac, Marcus Hacker, Thomas Beyer	44
12	Glioma Survival Prediction with Combined Analysis of In Vivo ¹¹C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning 2017 ·Journal of Nuclear Medicine ·László Papp, Nina Pötsch, Marko Grahovac, Victor Schmidbauer, Adelheid Wöehrer, Matthias Preusser, Markus Mitterhauser, Barbara Kiesel, Wolfgang Wadsak, Thomas Beyer, Marcus Hacker, Tatjana Traub‐Weidinger	82

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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