Ivana Strumberger

4.5k total citations
71 papers, 2.0k citations indexed

About

Ivana Strumberger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ivana Strumberger has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Ivana Strumberger's work include Metaheuristic Optimization Algorithms Research (21 papers), Machine Learning and Data Classification (8 papers) and Machine Learning and ELM (7 papers). Ivana Strumberger is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Machine Learning and Data Classification (8 papers) and Machine Learning and ELM (7 papers). Ivana Strumberger collaborates with scholars based in Serbia, Portugal and Czechia. Ivana Strumberger's co-authors include Nebojša Bačanin, Milan Tuba, Miodrag Živković, Eva Tuba, Timea Bezdan, K. Venkatachalam, Marko Beko, Miloš Antonijević, Fadi Al‐Turjman and Luka Jovanović and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Ivana Strumberger

71 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivana Strumberger Serbia 27 1.0k 501 388 382 344 71 2.0k
K. Venkatachalam Czechia 23 713 0.7× 304 0.6× 254 0.7× 278 0.7× 343 1.0× 93 1.8k
Zhaoquan Gu China 23 766 0.8× 578 1.2× 300 0.8× 358 0.9× 547 1.6× 165 2.2k
Korhan Cengiz Türkiye 22 485 0.5× 695 1.4× 266 0.7× 638 1.7× 177 0.5× 119 2.0k
Eva Tuba Serbia 26 796 0.8× 419 0.8× 276 0.7× 224 0.6× 500 1.5× 76 1.7k
Imtiaz Ahmad Kuwait 22 784 0.8× 1.1k 2.2× 690 1.8× 484 1.3× 190 0.6× 120 2.4k
Zeng Zeng China 24 507 0.5× 485 1.0× 328 0.8× 336 0.9× 399 1.2× 150 2.2k
Daniel Yeung China 21 1.0k 1.0× 311 0.6× 214 0.6× 266 0.7× 700 2.0× 135 2.0k
Simone A. Ludwig United States 21 887 0.9× 486 1.0× 437 1.1× 194 0.5× 205 0.6× 127 1.9k
Siti Mariyam Shamsuddin Malaysia 23 1.2k 1.2× 284 0.6× 258 0.7× 352 0.9× 365 1.1× 133 2.4k

Countries citing papers authored by Ivana Strumberger

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Strumberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Strumberger

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Strumberger. A scholar is included among the top collaborators of Ivana Strumberger 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 Ivana Strumberger. Ivana Strumberger 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, 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
2.
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
3.
Jovanović, Gordana, Mirjana Perišić, Nebojša Bačanin, et al.. (2023). Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate. Toxics. 11(4). 394–394. 20 indexed citations
4.
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
5.
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
6.
Jovanović, Luka, et al.. (2023). Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0. Expert Systems. 41(2). 14 indexed citations
7.
Nikolić, Boško, Saša Stojanović, K. Venkatachalam, et al.. (2023). Text Document Clustering Approach by Improved Sine Cosine Algorithm. Information Technology And Control. 52(2). 541–561. 5 indexed citations
8.
Tuba, Eva, et al.. (2022). Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network. 1–4. 7 indexed citations
9.
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
10.
Bačanin, Nebojša, Miodrag Živković, Fadi Al‐Turjman, et al.. (2022). Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application. Scientific Reports. 12(1). 6302–6302. 63 indexed citations
11.
Bačanin, Nebojša, Nebojša Budimirović, K. Venkatachalam, et al.. (2022). Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction. PLoS ONE. 17(10). e0275727–e0275727. 11 indexed citations
12.
Živković, Miodrag, Cătălin Stoean, Aleksandar Petrović, et al.. (2021). A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. 259–266. 29 indexed citations
13.
Bačanin, Nebojša, Timea Bezdan, K. Venkatachalam, et al.. (2021). Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm. IEEE Access. 9. 169135–169155. 37 indexed citations
14.
Bezdan, Timea, Miodrag Živković, Nebojša Bačanin, et al.. (2021). Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm. Journal of Intelligent & Fuzzy Systems. 42(1). 411–423. 65 indexed citations
15.
Bačanin, Nebojša, Timea Bezdan, Eva Tuba, Ivana Strumberger, & Milan Tuba. (2020). Monarch Butterfly Optimization Based Convolutional Neural Network Design. Mathematics. 8(6). 936–936. 49 indexed citations
16.
Bačanin, Nebojša, Timea Bezdan, Eva Tuba, Ivana Strumberger, & Milan Tuba. (2020). Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics. Algorithms. 13(3). 67–67. 102 indexed citations
17.
Živković, Miodrag, Nebojša Bačanin, K. Venkatachalam, et al.. (2020). COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach. Sustainable Cities and Society. 66. 102669–102669. 191 indexed citations
18.
Strumberger, Ivana, Nebojša Bačanin, Milan Tuba, & Eva Tuba. (2019). Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm. Applied Sciences. 9(22). 4893–4893. 82 indexed citations
19.
Strumberger, Ivana, Milan Tuba, Nebojša Bačanin, & Eva Tuba. (2019). Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm. Journal of Sensor and Actuator Networks. 8(3). 44–44. 30 indexed citations
20.
Strumberger, Ivana, Miroslav Minović, Milan Tuba, & Nebojša Bačanin. (2019). Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks. Sensors. 19(11). 2515–2515. 94 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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