Tamara Živković

889 total citations · 1 hit paper
24 papers, 273 citations indexed

About

Tamara Živković is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Tamara Živković has authored 24 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Tamara Živković's work include Software Testing and Debugging Techniques (6 papers), Software System Performance and Reliability (4 papers) and Software Reliability and Analysis Research (3 papers). Tamara Živković is often cited by papers focused on Software Testing and Debugging Techniques (6 papers), Software System Performance and Reliability (4 papers) and Software Reliability and Analysis Research (3 papers). Tamara Živković collaborates with scholars based in Serbia, India and Taiwan. Tamara Živković's co-authors include Nebojša Bačanin, Miodrag Živković, Ivana Strumberger, Luka Jovanović, Aleksandar Petrović, Vladimir Šimić, Milan Tuba, Eva Tuba, Boško Nikolić and Dragan Pamučar and has published in prestigious journals such as Scientific Reports, Neurocomputing and Applied Soft Computing.

In The Last Decade

Tamara Živković

18 papers receiving 268 citations

Hit Papers

Two-tier deep and machine... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Živković Serbia 9 117 76 66 46 28 24 273
Ch Anwar Ul Hassan Pakistan 10 80 0.7× 62 0.8× 40 0.6× 42 0.9× 31 1.1× 21 296
Ali Akbar Movassagh Iran 5 111 0.9× 42 0.6× 75 1.1× 39 0.8× 59 2.1× 8 277
Mohammed Q. Shatnawi Jordan 7 70 0.6× 99 1.3× 217 3.3× 86 1.9× 42 1.5× 35 351
Youcef Gheraibia United Kingdom 7 55 0.5× 67 0.9× 64 1.0× 27 0.6× 13 0.5× 15 202
Rashi Kohli India 8 63 0.5× 50 0.7× 71 1.1× 23 0.5× 44 1.6× 16 205
N. Nalini India 10 94 0.8× 62 0.8× 184 2.8× 63 1.4× 52 1.9× 61 343
Farrukh Arslan Pakistan 8 73 0.6× 72 0.9× 85 1.3× 32 0.7× 46 1.6× 23 245
Mahshid Helali Moghadam Sweden 8 68 0.6× 42 0.6× 84 1.3× 23 0.5× 13 0.5× 27 204
Urban Richter Germany 5 119 1.0× 38 0.5× 78 1.2× 33 0.7× 10 0.4× 6 220
Achmad Imam Kistijantoro Indonesia 9 72 0.6× 93 1.2× 131 2.0× 33 0.7× 26 0.9× 50 259

Countries citing papers authored by Tamara Živković

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Živković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Živković

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Živković. A scholar is included among the top collaborators of Tamara 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 Tamara Živković. Tamara 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.
Živković, Tamara, et al.. (2026). Metaheuristic-driven dual-layer model for classifying Alzheimer's disease stages. Frontiers in Computational Neuroscience. 20. 1731812–1731812.
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.
Živković, Miodrag, et al.. (2025). Hospital Admission Classification of Cardiac Patients Utilizing Metaheuristics-Optimized Two Tier Framework. International Journal of Computational Intelligence Systems. 19(1).
6.
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
7.
Antonijević, Miloš, Luka Jovanović, Vladimir Šimić, et al.. (2024). Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers. Scientific Reports. 14(1). 25731–25731. 16 indexed citations
8.
Bačanin, Nebojša, Luka Jovanović, Aleksandar Petrović, et al.. (2024). Crop Yield Forecasting Based on Echo State Network Tuned by Crayfish Optimization Algorithm. 1–6. 13 indexed citations
9.
Dobrojević, Miloš, Luka Jovanović, Tamara Živković, et al.. (2024). Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 4997–5027. 20 indexed citations
10.
Jovanović, Luka, et al.. (2024). Steam players count prediction using GRU optimized by modified PSO. 1–4. 2 indexed citations
11.
Bačanin, Nebojša, Aleksandar Petrović, Luka Jovanović, et al.. (2024). Parkinson’s Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm. 1–8. 16 indexed citations
12.
Živković, Tamara, Boško Nikolić, Vladimir Šimić, Dragan Pamučar, & Nebojša Bačanin. (2023). Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations. Applied Soft Computing. 146. 110659–110659. 48 indexed citations
13.
Jovanović, Luka, Aleksandar Petrović, Tamara Živković, et al.. (2023). Exploring the Potential of Generative Adversarial Networks for Synthetic Medical Data Generation. 1–4. 6 indexed citations
14.
Živković, Tamara, et al.. (2023). Learning environments in software testing education: An overview. Computer Applications in Engineering Education. 31(6). 1497–1521. 5 indexed citations
15.
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
16.
Živković, Tamara, et al.. (2021). Nature-Inspired Approaches in Software Testing Optimization. 28–33. 1 indexed citations
17.
Živković, Tamara & Miodrag Živković. (2020). Comparative Analysis of Techniques for Testing Object Oriented Programs. 270–275. 4 indexed citations
18.
Živković, Miodrag, Nebojša Bačanin, Tamara Živković, et al.. (2020). Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks. 87–92. 66 indexed citations
19.
Živković, Miodrag & Tamara Živković. (2018). Challenges in Testing of Web Applications. 91–96. 1 indexed citations
20.
Živković, Miodrag & Tamara Živković. (2017). Wireless Sensor Networks Integration Into Internet Of Things. 115–120. 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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