Eva Tuba

38 papers and 814 indexed citations i.

About

Eva Tuba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Eva Tuba has authored 38 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Eva Tuba’s work include Metaheuristic Optimization Algorithms Research (11 papers), Cloud Computing and Resource Management (5 papers) and Neural Networks and Applications (4 papers). Eva Tuba is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Cloud Computing and Resource Management (5 papers) and Neural Networks and Applications (4 papers). Eva Tuba collaborates with scholars based in Serbia, Qatar and Portugal. Eva Tuba's co-authors include Milan Tuba, Nebojša Bačanin, Ivana Strumberger, Timea Bezdan, Edin Dolićanin, Raka Jovanović, Miodrag Živković, Zorica Stanimirović, Luca Mariot and Luca Manzoni and has published in prestigious journals such as Applied Sciences, Swarm and Evolutionary Computation and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Eva Tuba i

Fields of papers citing papers by Eva Tuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Tuba

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025