Mariia Golovianko

About

Mariia Golovianko is a scholar working on Artificial Intelligence, Management Information Systems and Hardware and Architecture. According to data from OpenAlex, Mariia Golovianko has authored 13 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Information Systems and 4 papers in Hardware and Architecture. Recurrent topics in Mariia Golovianko’s work include Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Big Data and Business Intelligence (3 papers). Mariia Golovianko is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Big Data and Business Intelligence (3 papers). Mariia Golovianko collaborates with scholars based in Ukraine, Finland and Pakistan. Mariia Golovianko's co-authors include Vagan Terziyan, Tuure Tuunanen and Timo Tiihonen and has published in prestigious journals such as Neural Networks, European Journal of Information Systems and Journal of Manufacturing Systems.

In The Last Decade

Co-authorship network of co-authors of Mariia Golovianko i

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Fields of papers citing papers by Mariia Golovianko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mariia Golovianko

Since Specialization

Citations

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