Natallia Kokash

18 papers and 96 indexed citations i.

About

Natallia Kokash is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Natallia Kokash has authored 18 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Molecular Biology. Recurrent topics in Natallia Kokash’s work include QoS-Aware Web Services Composition and Semantic Matching (9 papers), Business Process Modeling and Analysis (6 papers) and Advanced Software Engineering Methodologies (5 papers). Natallia Kokash is often cited by papers focused on QoS-Aware Web Services Composition and Semantic Matching (9 papers), Business Process Modeling and Analysis (6 papers) and Advanced Software Engineering Methodologies (5 papers). Natallia Kokash collaborates with scholars based in The Netherlands, New Zealand and United Kingdom. Natallia Kokash's co-authors include E.P. de Vink, Christian Krause, Farhad Arbab, Bernard de Bono, Paolo Giorgini, Aliaksandr Birukou, Enrico Blanzieri, Vincenzo D’Andrea, Monique C. Surles-Zeigler and Pierre Grenon and has published in prestigious journals such as Frontiers in Physiology, IEEE Software and Frontiers in Neuroinformatics.

In The Last Decade

Co-authorship network of co-authors of Natallia Kokash i

Fields of papers citing papers by Natallia Kokash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natallia Kokash

Since Specialization
Citations

This map shows the geographic impact of Natallia Kokash'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 Natallia Kokash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natallia Kokash 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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2025