Till Riedel

34 papers and 220 indexed citations i.

About

Till Riedel is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Till Riedel has authored 34 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Till Riedel’s work include Context-Aware Activity Recognition Systems (8 papers), Air Quality Monitoring and Forecasting (7 papers) and Air Quality and Health Impacts (6 papers). Till Riedel is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Air Quality Monitoring and Forecasting (7 papers) and Air Quality and Health Impacts (6 papers). Till Riedel collaborates with scholars based in Germany, Greece and Spain. Till Riedel's co-authors include Michael Beigl, Matthias Budde, Andrea Schankin, Nirvana Meratnia, Christian Decker, Stephan Haller, Jens Müller, Mihai Marin-Perianu, Luciana Moreira Sá de Souza and Patrik Spieß and has published in prestigious journals such as Sensors, IEEE Access and IEEE Wireless Communications.

In The Last Decade

Co-authorship network of co-authors of Till Riedel i

Fields of papers citing papers by Till Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Till Riedel

Since Specialization
Citations

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