Anita Rácz

58 papers and 2.0k indexed citations i.

About

Anita Rácz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Anita Rácz has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 11 papers in Analytical Chemistry. Recurrent topics in Anita Rácz’s work include Computational Drug Discovery Methods (22 papers), Spectroscopy and Chemometric Analyses (9 papers) and Machine Learning in Materials Science (6 papers). Anita Rácz is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Spectroscopy and Chemometric Analyses (9 papers) and Machine Learning in Materials Science (6 papers). Anita Rácz collaborates with scholars based in Hungary, United States and Russia. Anita Rácz's co-authors include Károly Héberger, Dávid Bajusz, Ramón Alain Miranda‐Quintana, Ákos Koller, Marietta Fodor, Attila Gere, Gábor Lotz, Filip Andrić, György M. Keserű and B. Lukács and has published in prestigious journals such as The Journal of Chemical Physics, Nature Reviews Drug Discovery and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Anita Rácz i

Fields of papers citing papers by Anita Rácz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anita Rácz

Since Specialization
Citations

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