Tobias Scheidat
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Artificial Intelligence
- Safety Research
- Co-authors
- Claus VielhauerJana DittmannAndrey MakrushinBernadette DorizziFernando Alonso‐FernandezJulián FiérrezJavier Ortega-GarcíaLorène Allano
- Topics
- Biometric Identification and Security (18 papers)User Authentication and Security Systems (14 papers)Handwritten Text Recognition Techniques (13 papers)
- Journals
- IEEE Transactions on Information Forensics and SecurityImage and Vision ComputingAnnals of Telecommunications
- Partner nations
- GermanySpainUnited Kingdom
In The Last Decade
Tobias Scheidat
23 papers receiving 175 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 126
- Signal Processing 126
- Information Systems 88
- Artificial Intelligence 25
- Safety Research 16
Countries citing papers authored by Tobias Scheidat
This map shows the geographic impact of Tobias Scheidat'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 Tobias Scheidat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Scheidat more than expected).
Fields of papers citing papers by Tobias Scheidat
This network shows the impact of papers produced by Tobias Scheidat. 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 Tobias Scheidat. The network helps show where Tobias Scheidat may publish in the future.
Co-authorship network of co-authors of Tobias Scheidat
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Scheidat. A scholar is included among the top collaborators of Tobias Scheidat 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 Tobias Scheidat. Tobias Scheidat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 62 | |
| 10 | Support Vector Machines for Dynamic Biometric Handwriting Classification. | 6 |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | Automatic Template Update Strategies for Biometrics | 9 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | Analyse biometrischer Handschriftverifikation im Kontext von Metadaten | 1 |
| 20 | 9 |
About Tobias Scheidat
Tobias Scheidat is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 23 papers that have together received 185 indexed citations. Recurring topics across this work include Biometric Identification and Security (18 papers), User Authentication and Security Systems (14 papers) and Handwritten Text Recognition Techniques (13 papers). The work is most often cited by research in Signal Processing (126 citations), Computer Vision and Pattern Recognition (126 citations) and Information Systems (88 citations). Tobias Scheidat has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Claus Vielhauer, Jana Dittmann, Andrey Makrushin, Bernadette Dorizzi, Fernando Alonso‐Fernandez, Julián Fiérrez, Javier Ortega-García, Lorène Allano, Thirimachos Bourlai and Harald Ganster. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Image and Vision Computing and Annals of Telecommunications.
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.