Nenad Filipović

6.0k total citations · 2 hit papers
303 papers, 3.7k citations indexed

About

Nenad Filipović is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nenad Filipović has authored 303 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Surgery, 78 papers in Biomedical Engineering and 66 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nenad Filipović's work include Coronary Interventions and Diagnostics (40 papers), Cardiovascular Health and Disease Prevention (29 papers) and Aortic aneurysm repair treatments (21 papers). Nenad Filipović is often cited by papers focused on Coronary Interventions and Diagnostics (40 papers), Cardiovascular Health and Disease Prevention (29 papers) and Aortic aneurysm repair treatments (21 papers). Nenad Filipović collaborates with scholars based in Serbia, United States and Italy. Nenad Filipović's co-authors include Miloš Kojić, Miloš Radović, Akira Tsuda, Zoran Obradović, Mohamed Ghalwash, Arso M. Vukićević, Gordana Jovičić, Igor Šaveljić, Tijana Šušteršič and Marija Djurić and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Nenad Filipović

264 papers receiving 3.6k citations

Hit Papers

align trajectories sort by overperformance

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.

AI in Medical Imaging Informatics: Current Challenges and Future Directions

2020 361 citations Nenad Filipović et al. profile →
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

2017 310 citations Nenad Filipović et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nenad Filipović Serbia	29	678	675	651	512	470	303	3.7k
Kayvan Najarian United States	31	775 1.1×	276 0.4×	401 0.6×	811 1.6×	551 1.2×	283	4.3k
Kelvin K. L. Wong Australia	39	800 1.2×	511 0.8×	626 1.0×	728 1.4×	660 1.4×	162	4.0k
H. Tanaka Japan	46	499 0.7×	1.4k 2.1×	1.3k 2.0×	976 1.9×	319 0.7×	361	7.2k
Jingsong Li China	37	901 1.3×	252 0.4×	578 0.9×	339 0.7×	235 0.5×	332	5.0k
Hongwei Li China	35	661 1.0×	276 0.4×	298 0.5×	607 1.2×	178 0.4×	268	4.5k
Anders Persson Sweden	37	843 1.2×	300 0.4×	861 1.3×	1.8k 3.6×	654 1.4×	168	4.0k
Xin Liu China	42	2.7k 4.0×	632 0.9×	359 0.6×	3.4k 6.6×	330 0.7×	294	6.3k
Stephen Moore United States	21	743 1.1×	1.1k 1.7×	272 0.4×	2.4k 4.6×	361 0.8×	81	4.5k
Francesco Amato Italy	34	473 0.7×	200 0.3×	273 0.4×	173 0.3×	129 0.3×	304	6.3k
Lei Chen China	31	820 1.2×	648 1.0×	634 1.0×	779 1.5×	227 0.5×	287	3.8k

Countries citing papers authored by Nenad Filipović

Since Specialization

Citations

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

Fields of papers citing papers by Nenad Filipović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nenad Filipović

This figure shows the co-authorship network connecting the top 25 collaborators of Nenad Filipović. A scholar is included among the top collaborators of Nenad Filipović 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 Nenad Filipović. Nenad Filipović 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

Spahić, Lemana & Nenad Filipović. (2025). Development of a surrogate model for predicting atherosclerotic plaque progression based on agent based modeling data. Technology and Health Care. 33(3). 1221–1231.

Cvetković, Danijela, Marina Gazdic, Nevena Milivojević, et al.. (2024). Modeling 5-FU-Induced Chemotherapy Selection of a Drug-Resistant Cancer Stem Cell Subpopulation. Current Oncology. 31(3). 1221–1234. 4 indexed citations

Končar, Igor, Žarko Milošević, Nataša Bogavac‐Stanojević, et al.. (2023). Abdominal aortic aneurysm volume and relative intraluminal thrombus volume might be auxiliary predictors of rupture—an observational cross-sectional study. Frontiers in Surgery. 10. 1095224–1095224. 4 indexed citations

Milošević, Miljan, et al.. (2023). Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease. Pharmaceutics. 15(3). 793–793. 4 indexed citations

Djordjević, Nataša, Sanja Matić, Dragan Milovanović, et al.. (2023). Effectiveness of a third dose of COVID-19 vaccines against delta variant of SARS-COV-2: A Serbian cohort study. SHILAP Revista de lepidopterología. 151(9-10). 518–524.

Ilić, Aleksandra, Lars S. Maier, Nduka C. Okwose, et al.. (2022). Gender Related Differences in the Clinical Presentation of Hypertrophic Cardiomyopathy—An Analysis from the SILICOFCM Database. Medicina. 58(2). 314–314. 16 indexed citations

Žunkovič, Bojan, Marko Robnik‐Šikonja, Matjaž Kukar, et al.. (2022). Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning. JMIR Medical Informatics. 10(2). e30483–e30483. 14 indexed citations

Gazdic, Marina, Gvozden Rosić, Marina Miletić Kovačević, et al.. (2022). Orally administered fluorescent nanosized polystyrene particles affect cell viability, hormonal and inflammatory profile, and behavior in treated mice. Environmental Pollution. 305. 119206–119206. 53 indexed citations

Šaveljić, Igor, et al.. (2022). Application of Machine Learning for Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 36(1). 27–33.

10.

Šegota, Sandi Baressi, Ivan Lorencin, Nikola Anđelić, et al.. (2021). Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health. 18(8). 4287–4287. 34 indexed citations

11.

Anđelić, Nikola, Sandi Baressi Šegota, Ivan Lorencin, et al.. (2021). Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm. International Journal of Environmental Research and Public Health. 18(3). 959–959. 12 indexed citations

12.

Cvetković, Danijela, et al.. (2021). The Effect of Electrochemotherapy on Breast Cancer Cell Lines. 24(2). 93–98. 1 indexed citations

13.

Vukićević, Arso M., Serkan Çimen, Nikola Jagić, et al.. (2018). Three-dimensional reconstruction and NURBS-based structured meshing of coronary arteries from the conventional X-ray angiography projection images. Scientific Reports. 8(1). 1711–1711. 25 indexed citations

14.

Koullapis, Pantelis, Stavros C. Kassinos, Carlos David Pérez Segarra, et al.. (2017). Regional aerosol deposition in the human airways: The SimInhale benchmark case and a critical assessment of in silico methods. European Journal of Pharmaceutical Sciences. 113. 77–94. 100 indexed citations

15.

Antić, Svetlana, Igor Šaveljić, Gordana Jovičić, et al.. (2016). Does the presence of an unerupted lower third molar influence the risk of mandibular angle and condylar fractures?. International Journal of Oral and Maxillofacial Surgery. 45(5). 588–592. 20 indexed citations

16.

Filipović, Nenad, et al.. (2015). Prediction models for estimation of survival rate and relapse for breast cancer patients. 1–6. 16 indexed citations

17.

Ranković, Vesna, et al.. (2015). Diagnosis of Lumbar Disc Herniation using Multilayer Perceptron Neural Network. International Conference on Information Society. 210–213. 1 indexed citations

18.

Antić, Svetlana, Arso M. Vukićević, Igor Šaveljić, et al.. (2015). Impact of the lower third molar presence and position on the fragility of mandibular angle and condyle: A Three-dimensional finite element study. Journal of Cranio-Maxillofacial Surgery. 43(6). 870–878. 44 indexed citations

19.

Ysasi, Alexandra B., Robert D. Bennett, Nenad Filipović, et al.. (2014). Stretch-induced intussuceptive and sprouting angiogenesis in the chick chorioallantoic membrane. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

20.

Jovanović, Aleksandar & Nenad Filipović. (2006). Innovative modeling methods in damage assessment: application of dissipative particle dynamics to simulation of damage and self-healing of polymer-coated surfaces. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 44(3). 637–648. 4 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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