Maciej Majewski

About

Maciej Majewski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Maciej Majewski has authored 16 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 11 papers in Materials Chemistry. Recurrent topics in Maciej Majewski’s work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (8 papers). Maciej Majewski is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (8 papers). Maciej Majewski collaborates with scholars based in Spain, United States and Germany. Maciej Majewski's co-authors include Gianni De Fabritiis, Adrià Pérez, Cecilia Clementi, Frank Noé, Xavier Barril, Andreas Krämer, Toni Giorgino, Sergio Ruiz‐Carmona, Stefan Doerr and Alejandro Varela‐Rial and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Maciej Majewski i

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Fields of papers citing papers by Maciej Majewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maciej Majewski

Since Specialization

Citations

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