Miloš Antonijević

2.7k total citations · 1 hit paper
69 papers, 1.1k citations indexed

About

Miloš Antonijević is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Miloš Antonijević has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Miloš Antonijević's work include Network Security and Intrusion Detection (12 papers), Machine Learning and ELM (9 papers) and Spam and Phishing Detection (7 papers). Miloš Antonijević is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Machine Learning and ELM (9 papers) and Spam and Phishing Detection (7 papers). Miloš Antonijević collaborates with scholars based in Serbia, India and Jordan. Miloš Antonijević's co-authors include Miodrag Živković, Nebojša Bačanin, Luka Jovanović, Ivana Strumberger, K. Venkatachalam, Boško Nikolić, Cătălin Stoean, Miloš S. Stanković, Aleksandar Petrović and Marko Tanasković and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Miloš Antonijević

64 papers receiving 1.1k 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.

Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework

2025 22 citations Miloš Antonijević, Miodrag Živković et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miloš Antonijević Serbia	19	504	216	183	151	119	69	1.1k
Luka Jovanović Serbia	18	422 0.8×	188 0.9×	190 1.0×	137 0.9×	127 1.1×	89	1.0k
Nazri Mohd Nawi Malaysia	18	510 1.0×	142 0.7×	180 1.0×	244 1.6×	80 0.7×	104	1.3k
Noorbakhsh Amiri Golilarz China	18	517 1.0×	132 0.6×	171 0.9×	66 0.4×	109 0.9×	41	1.4k
Rozaida Ghazali Malaysia	21	676 1.3×	255 1.2×	106 0.6×	220 1.5×	85 0.7×	110	1.3k
Soman K.P. India	19	567 1.1×	269 1.2×	264 1.4×	156 1.0×	229 1.9×	59	1.5k
Pundru Chandra Shaker Reddy India	23	421 0.8×	151 0.7×	158 0.9×	84 0.6×	64 0.5×	93	1.1k
K. Venkatachalam Czechia	23	713 1.4×	278 1.3×	304 1.7×	254 1.7×	141 1.2×	93	1.8k
S. Sachin Kumar India	17	219 0.4×	297 1.4×	155 0.8×	104 0.7×	168 1.4×	96	1.1k
Zhisong Pan China	16	558 1.1×	134 0.6×	227 1.2×	100 0.7×	217 1.8×	123	1.1k
Jiaming Li Australia	18	494 1.0×	415 1.9×	183 1.0×	107 0.7×	123 1.0×	44	1.3k

Countries citing papers authored by Miloš Antonijević

Since Specialization

Citations

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

Fields of papers citing papers by Miloš Antonijević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Antonijević

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

Živković, Tamara, et al.. (2026). Metaheuristic-driven dual-layer model for classifying Alzheimer's disease stages. Frontiers in Computational Neuroscience. 20. 1731812–1731812.

Jovanović, Luka, Nebojša Bačanin, Aleksandar Petrović, et al.. (2025). Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks. Sustainable Computing Informatics and Systems. 47. 101174–101174. 3 indexed citations

Jovanović, Luka, Nebojša Bačanin, Miodrag Živković, et al.. (2025). Towards sustainable societies: Convolutional neural networks optimized by modified crayfish optimization algorithm aided by AdaBoost and XGBoost for waste classification tasks. Applied Soft Computing. 175. 113086–113086. 8 indexed citations

Petrović, Aleksandar, et al.. (2025). Evaluation Performance of Metaheuristics-Tuned Convolutional Neural Networks for Direct Current Motor Using Mel Spectrograms. Arabian Journal for Science and Engineering. 1 indexed citations

Bačanin, Nebojša, Luka Jovanović, Ruxandra Stoean, et al.. (2024). Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms. 13(5). 335–335. 18 indexed citations

Jovanović, Luka, et al.. (2024). Insider Threat Identification From Accessed Website Content Optimized by Modified Metaheuristic. 1–6.

Jovanović, Luka, et al.. (2024). Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks. International Journal of Hybrid Intelligent Systems. 20(4). 275–300. 1 indexed citations

Bačanin, Nebojša, et al.. (2024). Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. 23. 211–217. 1 indexed citations

Damaševičius, Robertas, Luka Jovanović, Aleksandar Petrović, et al.. (2024). Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation. PeerJ Computer Science. 10. e1795–e1795. 30 indexed citations

10.

Jovanović, Luka, Nebojša Bačanin, Miloš S. Stanković, et al.. (2024). Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques. IEEE Access. 12. 122377–122400. 14 indexed citations

11.

Bačanin, Nebojša, et al.. (2024). Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. 292–298.

12.

Jovanović, Luka, Robertas Damaševičius, Vladimir Šimić, et al.. (2024). Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics. PeerJ Computer Science. 10. e2031–e2031. 15 indexed citations

13.

Jovanović, Luka, et al.. (2024). Exploring Pre-Trained Model Potential for Reflective Vest Real Time Detection With YOLOv8 Models. 1210–1216. 4 indexed citations

14.

Jovanović, Luka, Miloš Antonijević, Boško Nikolić, et al.. (2023). Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning. Journal of Web Engineering. 36 indexed citations

15.

Bačanin, Nebojša, Miodrag Živković, Miloš Antonijević, et al.. (2023). Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection. Complex & Intelligent Systems. 9(6). 7269–7304. 22 indexed citations

16.

Bačanin, Nebojša, Luka Jovanović, Miodrag Živković, et al.. (2023). Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks. Information Sciences. 642. 119122–119122. 86 indexed citations

17.

Jovanović, Luka, et al.. (2023). Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm. International Journal of Hybrid Intelligent Systems. 19(1,2). 27–43. 2 indexed citations

18.

Bačanin, Nebojša, Miloš Antonijević, Timea Bezdan, et al.. (2022). Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. Cluster Computing. 26(1). 587–598. 34 indexed citations

19.

Bačanin, Nebojša, et al.. (2022). Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors. 22(11). 4204–4204. 36 indexed citations

20.

Bačanin, Nebojša, Miodrag Živković, Cătălin Stoean, et al.. (2022). Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering. Mathematics. 10(22). 4173–4173. 41 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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