Masha Medvedeva

About

Masha Medvedeva is a scholar working on Political Science and International Relations, Law and Artificial Intelligence. According to data from OpenAlex, Masha Medvedeva has authored 5 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Political Science and International Relations, 3 papers in Law and 2 papers in Artificial Intelligence. Recurrent topics in Masha Medvedeva’s work include Artificial Intelligence in Law (3 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (2 papers). Masha Medvedeva is often cited by papers focused on Artificial Intelligence in Law (3 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (2 papers). Masha Medvedeva collaborates with scholars based in The Netherlands and Denmark. Masha Medvedeva's co-authors include Michel Vols, Martijn Wieling, Johannes Bjerva, Barbara Plank, Hessel Haagsma, Chris W. Pool and Malvina Nissim and has published in prestigious journals such as Artificial Intelligence and Law, Research Portal Denmark and CLEF (Working Notes).

In The Last Decade

Co-authorship network of co-authors of Masha Medvedeva i

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Fields of papers citing papers by Masha Medvedeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masha Medvedeva

Since Specialization

Citations

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