Matthias Hirth

25 papers and 522 indexed citations i.

About

Matthias Hirth is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Hirth has authored 25 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Hirth’s work include Mobile Crowdsensing and Crowdsourcing (12 papers), Image and Video Quality Assessment (4 papers) and Open Source Software Innovations (3 papers). Matthias Hirth is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (12 papers), Image and Video Quality Assessment (4 papers) and Open Source Software Innovations (3 papers). Matthias Hirth collaborates with scholars based in Germany, United Kingdom and The Netherlands. Matthias Hirth's co-authors include Tobias Hoßfeld, Phuoc Tran‐Gia, Michael Seufert, Thomas Zinner, Raimund Schatz, Bruno Gardlo, Christian Keimel, Klaus Diepold, Julian Habigt and Anja S. Göritz and has published in prestigious journals such as Nature Communications, MIS Quarterly and Sensors.

In The Last Decade

Co-authorship network of co-authors of Matthias Hirth i

Fields of papers citing papers by Matthias Hirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthias Hirth

Since Specialization
Citations

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