Matthias Hirth
- Computer Vision and Pattern Recognition top 2%
- Computer Science Applications top 0.5%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Co-authors
- Phuoc Tran‐GiaTobias HoßfeldMichael SeufertThomas ZinnerRaimund SchatzChristian KeimelBruno GardloJulian Habigt
- Topics
- Mobile Crowdsensing and Crowdsourcing (29 papers)Image and Video Quality Assessment (13 papers)Open Source Software Innovations (7 papers)
- Partner nations
- GermanyNetherlandsFinland
In The Last Decade
Matthias Hirth
55 papers receiving 947 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 482
- Computer Science Applications 371
- Computer Networks and Communications 190
- Sociology and Political Science 165
- Artificial Intelligence 152
Countries citing papers authored by Matthias Hirth
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).
Fields of papers citing papers by Matthias Hirth
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.
Co-authorship network of co-authors of Matthias Hirth
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Hirth. A scholar is included among the top collaborators of Matthias Hirth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Hirth. Matthias Hirth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | Principles of information neutrality and counter measures against biased information | 1 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 81 | |
| 17 | 2 | |
| 18 | 36 | |
| 19 | 242 | |
| 20 | 12 |
About Matthias Hirth
Matthias Hirth is a scholar working on Computer Science Applications, Health Informatics and Human-Computer Interaction, having authored 57 papers that have together received 990 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (29 papers), Image and Video Quality Assessment (13 papers) and Open Source Software Innovations (7 papers). The work is most often cited by research in Computer Science Applications (371 citations), Computer Vision and Pattern Recognition (482 citations) and Signal Processing (101 citations). Matthias Hirth has collaborated with scholars based in Germany, Netherlands and Finland. Frequent co-authors include Phuoc Tran‐Gia, Tobias Hoßfeld, Michael Seufert, Thomas Zinner, Raimund Schatz, Christian Keimel, Bruno Gardlo, Julian Habigt, Klaus Diepold and Anja S. Göritz. Their work appears in journals such as Nature Communications, MIS Quarterly and Sensors.
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.