Mila Majster-Cederbaum

37 papers and 234 indexed citations i.

About

Mila Majster-Cederbaum is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mila Majster-Cederbaum has authored 37 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 27 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Mila Majster-Cederbaum’s work include Formal Methods in Verification (31 papers), Logic, programming, and type systems (18 papers) and Petri Nets in System Modeling (14 papers). Mila Majster-Cederbaum is often cited by papers focused on Formal Methods in Verification (31 papers), Logic, programming, and type systems (18 papers) and Petri Nets in System Modeling (14 papers). Mila Majster-Cederbaum collaborates with scholars based in Germany and China. Mila Majster-Cederbaum's co-authors include Christel Baier, Markus Roggenbach, Harald Fecher, Verena Wolf, Christian Lambertz and Naijun Zhan and has published in prestigious journals such as Journal of Computer and System Sciences, Theoretical Computer Science and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Mila Majster-Cederbaum i

Fields of papers citing papers by Mila Majster-Cederbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mila Majster-Cederbaum. 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 Mila Majster-Cederbaum. The network helps show where Mila Majster-Cederbaum may publish in the future.

Countries citing papers authored by Mila Majster-Cederbaum

Since Specialization
Citations

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