Ivana Strumberger

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 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Ivana Strumberger’s work include Metaheuristic Optimization Algorithms Research (12 papers), COVID-19 diagnosis using AI (5 papers) and Machine Learning and Data Classification (5 papers). Ivana Strumberger is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), COVID-19 diagnosis using AI (5 papers) and Machine Learning and Data Classification (5 papers). Ivana Strumberger collaborates with scholars based in Serbia, Czechia and Egypt. Ivana Strumberger's co-authors include Nebojša Bačanin, Milan Tuba, Eva Tuba, Miodrag Živković, Timea Bezdan, K. Venkatachalam, Fadi Al‐Turjman, Miloš Antonijević, Anand Nayyar and Miroslav Minović and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Co-authorship network of co-authors of Ivana Strumberger i

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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.

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).

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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