Miodrag Živković

7.7k total citations · 2 hit papers
182 papers, 3.3k citations indexed

About

Miodrag Živković is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Miodrag Živković has authored 182 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 43 papers in Computer Networks and Communications and 38 papers in Information Systems. Recurrent topics in Miodrag Živković's work include Anomaly Detection Techniques and Applications (22 papers), Network Security and Intrusion Detection (19 papers) and Energy Load and Power Forecasting (18 papers). Miodrag Živković is often cited by papers focused on Anomaly Detection Techniques and Applications (22 papers), Network Security and Intrusion Detection (19 papers) and Energy Load and Power Forecasting (18 papers). Miodrag Živković collaborates with scholars based in Serbia, India and Taiwan. Miodrag Živković's co-authors include Nebojša Bačanin, Ivana Strumberger, Miloš Antonijević, Timea Bezdan, K. Venkatachalam, Luka Jovanović, Aleksandar Petrović, Cătălin Stoean, Milan Tuba and Eva Tuba and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Access.

In The Last Decade

Miodrag Živković

166 papers receiving 3.2k citations

Hit Papers

Two-tier deep and machine learning approach optimized by ... 2025 2026 2025 2025 5 10 15 20
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. Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction
    2025 22 citations Miodrag Živković, Luka Jovanović et al. profile →
  2. 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 Career Trend Papers Cites
Miodrag Živković Serbia 34 1.5k 647 600 535 400 182 3.3k
Tarik A. Rashid Iraq 33 1.5k 1.0× 532 0.8× 494 0.8× 392 0.7× 452 1.1× 193 3.8k
Janmenjoy Nayak India 31 1.4k 0.9× 571 0.9× 505 0.8× 449 0.8× 412 1.0× 137 3.3k
Mohamed Abouhawwash Egypt 29 1.6k 1.0× 652 1.0× 808 1.3× 374 0.7× 571 1.4× 210 3.9k
Milan Tuba Serbia 36 1.8k 1.2× 874 1.4× 677 1.1× 435 0.8× 850 2.1× 160 3.7k
Yuehui Chen China 33 1.5k 1.0× 629 1.0× 523 0.9× 296 0.6× 403 1.0× 250 3.8k
Bighnaraj Naik India 29 1.2k 0.8× 419 0.6× 418 0.7× 358 0.7× 313 0.8× 94 2.7k
H. S. Behera India 28 1.1k 0.7× 391 0.6× 483 0.8× 330 0.6× 625 1.6× 114 2.7k
V. Vijayakumar India 35 1000 0.6× 1.0k 1.6× 721 1.2× 1.1k 2.0× 682 1.7× 172 3.9k
Aida Mustapha Malaysia 28 1.2k 0.8× 664 1.0× 306 0.5× 699 1.3× 471 1.2× 303 3.2k
Michał Woźniak Poland 29 3.3k 2.1× 503 0.8× 641 1.1× 442 0.8× 657 1.6× 206 4.6k

Countries citing papers authored by Miodrag Živković

Since Specialization
Citations

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

Fields of papers citing papers by Miodrag Živković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miodrag Živković

This figure shows the co-authorship network connecting the top 25 collaborators of Miodrag Živković. A scholar is included among the top collaborators of Miodrag Živković 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 Miodrag Živković. Miodrag Živković 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.
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
2.
Jovanović, Luka, et al.. (2025). Exploring the applicability of decision trees and deep neural networks optimized by metaheuristics for predictive maintenance in milling. The Journal of Supercomputing. 81(17). 1 indexed citations
3.
Jovanović, Luka, et al.. (2025). Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory. Neural Processing Letters. 57(1). 5 indexed citations
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Jovanović, Luka, Miodrag Živković, Nebojša Bačanin, et al.. (2024). Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting. Journal of Network and Computer Applications. 233. 104048–104048. 14 indexed citations
6.
Jovanović, Luka, et al.. (2024). Exploring Power Line Arc Detection Using YOLOv8 Computer Vision Models. 903–907. 2 indexed citations
7.
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
8.
Jovanović, Luka, et al.. (2024). YOLOv8 Utilization in Occupational Health and Safety. 182–187. 3 indexed citations
9.
Jovanović, Luka, et al.. (2024). Exploring Pre-Trained Model Potential for Reflective Vest Real Time Detection With YOLOv8 Models. 1210–1216. 4 indexed citations
10.
Živković, Miodrag, et al.. (2024). Application of Virtual Reality With Production Robotics. 419–424.
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Venkatachalam, K., et al.. (2023). Wall segmentation in 2D images using convolutional neural networks. PeerJ Computer Science. 9. e1565–e1565. 7 indexed citations
14.
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
15.
Jovanović, Luka, Gordana Jovanović, Mirjana Perišić, et al.. (2023). The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate. Atmosphere. 14(1). 109–109. 46 indexed citations
16.
Bezdan, Timea, Miodrag Živković, Nebojša Bačanin, Amit Chhabra, & Suresh Muthusamy. (2022). Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification. Journal of Computational Biology. 29(6). 515–529. 34 indexed citations
17.
Jovanović, Luka, et al.. (2022). Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator. Sustainability. 14(21). 14616–14616. 72 indexed citations
18.
Živković, Miodrag, et al.. (2021). Extensible Chatbot Architecture Using Metamodels of Natural Language Understanding. Electronics. 10(18). 2300–2300. 22 indexed citations
19.
Bačanin, Nebojša, et al.. (2021). Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design. Sensors. 21(19). 6654–6654. 57 indexed citations
20.
Živković, Miodrag, Boško Nikolić, & Ranko Popović. (2014). eWISENS: educational wireless sensor network simulator. International journal of engineering education. 30(2). 483–494. 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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