Alina Pyka

130 papers and 1.0k indexed citations i.

About

Alina Pyka is a scholar working on Spectroscopy, Analytical Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Alina Pyka has authored 130 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Spectroscopy, 46 papers in Analytical Chemistry and 44 papers in Computational Theory and Mathematics. Recurrent topics in Alina Pyka’s work include Analytical Chemistry and Chromatography (113 papers), Computational Drug Discovery Methods (44 papers) and Analytical Methods in Pharmaceuticals (38 papers). Alina Pyka is often cited by papers focused on Analytical Chemistry and Chromatography (113 papers), Computational Drug Discovery Methods (44 papers) and Analytical Methods in Pharmaceuticals (38 papers). Alina Pyka collaborates with scholars based in Poland, United States and Slovakia. Alina Pyka's co-authors include Małgorzata Dołowy, Josef Jampílek, Robert Babuška, Tatjana Djaković‐Sekulić, Nada Perišić‐Janjić, Jacek Bojarşki, Urszula Mazurek, Zbigniew Lorenc, Maciej Gonciarz and Andrzej Bąk and has published in prestigious journals such as Journal of Chromatography A, Molecules and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Alina Pyka i

Fields of papers citing papers by Alina Pyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alina Pyka

Since Specialization
Citations

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