Marco Schilk

4 papers and 34 indexed citations i.

About

Marco Schilk is a scholar working on Artificial Intelligence, Gender Studies and Linguistics and Language. According to data from OpenAlex, Marco Schilk has authored 4 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Gender Studies and 2 papers in Linguistics and Language. Recurrent topics in Marco Schilk’s work include Natural Language Processing Techniques (3 papers), Gender Studies in Language (2 papers) and Linguistic Variation and Morphology (2 papers). Marco Schilk is often cited by papers focused on Natural Language Processing Techniques (3 papers), Gender Studies in Language (2 papers) and Linguistic Variation and Morphology (2 papers). Marco Schilk collaborates with scholars based in Germany, United Kingdom and The Netherlands. Marco Schilk's co-authors include Joybrato Mukherjee and Sach Mukherjee and has published in prestigious journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), English World-Wide A Journal of Varieties of English and Corpus Linguistics and Linguistic Theory.

In The Last Decade

Co-authorship network of co-authors of Marco Schilk i

Fields of papers citing papers by Marco Schilk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Schilk

Since Specialization
Citations

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