Timo Schick

20 papers and 1.4k indexed citations i.

About

Timo Schick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Timo Schick has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Timo Schick’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Timo Schick is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (7 papers). Timo Schick collaborates with scholars based in Germany, United States and United Kingdom. Timo Schick's co-authors include Hinrich Schütze, Sahana Udupa, Helmut Schmid, Omer Levy, Thomas Scialom, Hinrich Schuetze, Akari Asai, Sebastian Riedel, Xilun Chen and Gautier Izacard and has published in prestigious journals such as Nature Machine Intelligence, Transactions of the Association for Computational Linguistics and Open access LMU (Ludwid Maxmilian's Universitat Munchen).

In The Last Decade

Co-authorship network of co-authors of Timo Schick i

Fields of papers citing papers by Timo Schick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Timo Schick

Since Specialization
Citations

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