Agnieszka Debudaj-Grabysz

About

Agnieszka Debudaj-Grabysz is a scholar working on Molecular Biology, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Agnieszka Debudaj-Grabysz has authored 5 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Agnieszka Debudaj-Grabysz’s work include Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (5 papers) and Gene expression and cancer classification (2 papers). Agnieszka Debudaj-Grabysz is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (5 papers) and Gene expression and cancer classification (2 papers). Agnieszka Debudaj-Grabysz collaborates with scholars based in Poland. Agnieszka Debudaj-Grabysz's co-authors include Sebastian Deorowicz, Szymon Grabowski, Marek Kokot and Adam Gudyś and has published in prestigious journals such as Bioinformatics, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Agnieszka Debudaj-Grabysz i

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Fields of papers citing papers by Agnieszka Debudaj-Grabysz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agnieszka Debudaj-Grabysz. 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 Agnieszka Debudaj-Grabysz. The network helps show where Agnieszka Debudaj-Grabysz may publish in the future.

Countries citing papers authored by Agnieszka Debudaj-Grabysz

Since Specialization

Citations

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