Miloš Radović

822 total citations · 1 hit paper
23 papers, 554 citations indexed

About

Miloš Radović is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Miloš Radović has authored 23 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Miloš Radović's work include Cardiovascular Health and Disease Prevention (4 papers), Electromagnetic Fields and Biological Effects (2 papers) and Coronary Interventions and Diagnostics (2 papers). Miloš Radović is often cited by papers focused on Cardiovascular Health and Disease Prevention (4 papers), Electromagnetic Fields and Biological Effects (2 papers) and Coronary Interventions and Diagnostics (2 papers). Miloš Radović collaborates with scholars based in Serbia, United States and Slovenia. Miloš Radović's co-authors include Nenad Filipović, Zoran Obradović, Mohamed Ghalwash, Aleksandar Peulić, Milena Milutinović, Dimitrios I. Fotiadis, Igor Šaveljić, Zhongzhao Teng, Arso M. Vukićević and Oberdan Parodi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Miloš Radović

20 papers receiving 539 citations

Hit Papers

Minimum redundancy maximum relevance feature selection ap... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Minimum redundancy maximum relevance feature selection approach for temporal gene expression data
    2017 310 citations Miloš Radović, Mohamed Ghalwash et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Radović Serbia 11 124 111 101 66 63 23 554
Min Su Lee South Korea 14 80 0.6× 62 0.6× 102 1.0× 60 0.9× 75 1.2× 35 486
Benjamin Ulfenborg Sweden 10 124 1.0× 193 1.7× 95 0.9× 43 0.7× 24 0.4× 26 560
Xiang Ji China 15 72 0.6× 143 1.3× 175 1.7× 55 0.8× 89 1.4× 66 673
Jingyang Gao China 11 163 1.3× 136 1.2× 156 1.5× 28 0.4× 26 0.4× 55 682
Marek Krętowski Poland 15 190 1.5× 111 1.0× 155 1.5× 42 0.6× 25 0.4× 64 654
Junhan Zhao United States 13 66 0.5× 215 1.9× 42 0.4× 129 2.0× 127 2.0× 52 632
Farhad Maleki Canada 14 121 1.0× 197 1.8× 170 1.7× 59 0.9× 16 0.3× 48 737
Jiawei Tian China 11 86 0.7× 114 1.0× 160 1.6× 95 1.4× 105 1.7× 54 625
Shidin Balakrishnan Qatar 15 91 0.7× 64 0.6× 119 1.2× 57 0.9× 31 0.5× 26 710

Countries citing papers authored by Miloš Radović

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Radović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Radović

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Radović. A scholar is included among the top collaborators of Miloš Radović 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 Miloš Radović. Miloš Radović 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.
2.
Vukićević, Arso M., et al.. (2021). Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. Expert Systems with Applications. 183. 115371–115371. 14 indexed citations
3.
Radović, Miloš, et al.. (2021). Quality of life of patients with breast cancer. SHILAP Revista de lepidopterología. 24(82). 18–22. 1 indexed citations
4.
Vukićević, Arso M., Miloš Radović, Alen Zabotti, et al.. (2020). Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images. Computers in Biology and Medicine. 129. 104154–104154. 19 indexed citations
5.
Robnik‐Šikonja, Marko, et al.. (2018). Modeling ischemia with finite elements and automated machine learning. Journal of Computational Science. 29. 99–106. 2 indexed citations
6.
Radović, Miloš, Mohamed Ghalwash, Nenad Filipović, & Zoran Obradović. (2017). Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinformatics. 18(1). 9–9. 310 indexed citations breakdown →
7.
Cvetković, Danijela, Marko Živanović, Milena Milutinović, et al.. (2016). Real-time monitoring of cytotoxic effects of electroporation on breast and colon cancer cell lines. Bioelectrochemistry. 113. 85–94. 19 indexed citations
8.
Vukićević, Arso M., et al.. (2016). Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery. Computers in Biology and Medicine. 75. 80–89. 13 indexed citations
9.
Radović, Miloš, et al.. (2016). Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models. IEEE Journal of Biomedical and Health Informatics. 22(2). 537–544. 26 indexed citations
10.
Milošević, Žarko, et al.. (2015). Finite element coiled cochlea model. AIP conference proceedings. 1703. 70015–70015.
11.
Blagojević, Marija, et al.. (2015). Neural network based approach for predicting maximal wall shear stress in the artery. 1–5. 1 indexed citations
12.
Radović, Miloš, et al.. (2015). Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms. Technology and Health Care. 23(6). 757–774. 8 indexed citations
13.
Radović, Miloš, et al.. (2014). Prediction of coronary plaque location on arteries having myocardial bridge, using finite element models. Computer Methods and Programs in Biomedicine. 117(2). 137–144. 8 indexed citations
14.
15.
Filipović, Nenad, Miloš Radović, Danijela Cvetković, et al.. (2014). Electromagnetic field investigation on different cancer cell lines. Cancer Cell International. 14(1). 34 indexed citations
16.
Filipović, Nenad, Zhongzhao Teng, Miloš Radović, et al.. (2013). Computer simulation of three-dimensional plaque formation and progression in the carotid artery. Medical & Biological Engineering & Computing. 51(6). 607–616. 40 indexed citations
17.
Radović, Miloš, et al.. (2013). Application of data mining algorithms for mammogram classification. 1–4. 17 indexed citations
18.
Peulić, Aleksandar, Emil Jovanov, Miloš Radović, et al.. (2013). Modeling of arterial stiffness using variations of pulse transit time. Computer Science and Information Systems. 10(1). 547–565. 2 indexed citations
19.
Bosnić, Zoran, Petar Vračar, Miloš Radović, et al.. (2011). Mining Data From Hemodynamic Simulations for Generating Prediction and Explanation Models. IEEE Transactions on Information Technology in Biomedicine. 16(2). 248–254. 11 indexed citations
20.
Vukićević, Rastko D., et al.. (1998). Electrochemical Oxyphenylselenation of Dienes. Monatshefte für Chemie - Chemical Monthly. 129(12). 1309–1312. 2 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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