Luka Jovanović

2.7k total citations · 2 hit papers
89 papers, 1.0k citations indexed

About

Luka Jovanović is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Luka Jovanović has authored 89 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in Luka Jovanović's work include Energy Load and Power Forecasting (13 papers), Anomaly Detection Techniques and Applications (13 papers) and Solar Radiation and Photovoltaics (12 papers). Luka Jovanović is often cited by papers focused on Energy Load and Power Forecasting (13 papers), Anomaly Detection Techniques and Applications (13 papers) and Solar Radiation and Photovoltaics (12 papers). Luka Jovanović collaborates with scholars based in Serbia, India and Taiwan. Luka Jovanović's co-authors include Nebojša Bačanin, Miodrag Živković, Miloš Antonijević, Aleksandar Petrović, Ivana Strumberger, Vladimir Šimić, Muhammet Deveci, Boško Nikolić, Tamara Živković and Robertas Damaševičius and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Luka Jovanović

80 papers receiving 1.0k 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, Tamara Živković et al. Neurocomputing 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
Luka Jovanović Serbia 18 422 190 188 137 127 89 1.0k
Miloš Antonijević Serbia 19 504 1.2× 183 1.0× 216 1.1× 151 1.1× 119 0.9× 69 1.1k
Noorbakhsh Amiri Golilarz China 18 517 1.2× 171 0.9× 132 0.7× 66 0.5× 109 0.9× 41 1.4k
P. Nagaraj India 23 363 0.9× 213 1.1× 156 0.8× 192 1.4× 128 1.0× 135 1.4k
S. Sachin Kumar India 17 219 0.5× 155 0.8× 297 1.6× 104 0.8× 168 1.3× 96 1.1k
Penghong Wang China 11 255 0.6× 326 1.7× 235 1.3× 130 0.9× 127 1.0× 21 925
S. Vimal India 19 376 0.9× 163 0.9× 131 0.7× 107 0.8× 48 0.4× 68 1.2k
Marcello Trovati United Kingdom 11 247 0.6× 82 0.4× 194 1.0× 93 0.7× 112 0.9× 49 893
Soman K.P. India 19 567 1.3× 264 1.4× 269 1.4× 156 1.1× 229 1.8× 59 1.5k
Gregory Ditzler United States 15 1.1k 2.6× 207 1.1× 184 1.0× 82 0.6× 186 1.5× 56 1.5k
Àngela Nebot Spain 16 473 1.1× 61 0.3× 236 1.3× 147 1.1× 76 0.6× 83 1.2k

Countries citing papers authored by Luka Jovanović

Since Specialization
Citations

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

Fields of papers citing papers by Luka Jovanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luka Jovanović

This figure shows the co-authorship network connecting the top 25 collaborators of Luka Jovanović. A scholar is included among the top collaborators of Luka Jovanović 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 Luka Jovanović. Luka Jovanović 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.
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
2.
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
3.
Živković, Miodrag, Tamara Živković, Mahmoud Abdel-Salam, et al.. (2025). Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction. Neurocomputing. 630. 129695–129695. 22 indexed citations breakdown →
4.
Jovanović, Luka, et al.. (2025). Steam Players Count Forecasting with LSTM Tuned by Modified RSA. 107–112.
5.
Jovanović, Luka, et al.. (2024). Click Fraud Detection with Recurrent Neural Networks Optimized by Adapted Crayfish Optimization Algorithm. 2(4). 230–239. 1 indexed citations
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Jovanović, Luka, et al.. (2024). YOLOv8 Utilization in Occupational Health and Safety. 182–187. 3 indexed citations
8.
Jovanović, Luka, et al.. (2024). Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications. Energies. 18(1). 105–105. 3 indexed citations
9.
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
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Jovanović, Luka, et al.. (2024). Exploring Power Line Arc Detection Using YOLOv8 Computer Vision Models. 903–907. 2 indexed citations
13.
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
14.
Bačanin, Nebojša, et al.. (2024). Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. 23. 211–217. 1 indexed citations
15.
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
16.
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
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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
19.
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
20.
Jovanović, Luka, Nebojša Bačanin, Cătălin Stoean, et al.. (2023). Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors. 23(24). 9878–9878. 25 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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