Pawel Drozdowski
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Artificial Intelligence
- Safety Research
- Co-authors
- Christian RathgebChristoph BuschNaser DamerJascha KolbergMarta Gomez‐BarreroAndreas NautschJosé PatinoMassimiliano Todisco
- Topics
- Biometric Identification and Security (28 papers)Face recognition and analysis (18 papers)User Authentication and Security Systems (13 papers)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Pawel Drozdowski
31 papers receiving 320 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 250
- Computer Vision and Pattern Recognition 238
- Information Systems 123
- Artificial Intelligence 48
- Safety Research 14
Countries citing papers authored by Pawel Drozdowski
This map shows the geographic impact of Pawel Drozdowski'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 Pawel Drozdowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawel Drozdowski more than expected).
Fields of papers citing papers by Pawel Drozdowski
This network shows the impact of papers produced by Pawel Drozdowski. 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 Pawel Drozdowski. The network helps show where Pawel Drozdowski may publish in the future.
Co-authorship network of co-authors of Pawel Drozdowski
This figure shows the co-authorship network connecting the top 25 collaborators of Pawel Drozdowski. A scholar is included among the top collaborators of Pawel Drozdowski 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 Pawel Drozdowski. Pawel Drozdowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 42 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | Efficiency Analysis of Post-quantum-secure Face Template Protection Schemes based on Homomorphic Encryption | 10 |
| 15 | On the Application of Homomorphic Encryption to Face Identification | 16 |
| 16 | 33 | |
| 17 | 19 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 5 |
About Pawel Drozdowski
Pawel Drozdowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 32 papers that have together received 329 indexed citations. Recurring topics across this work include Biometric Identification and Security (28 papers), Face recognition and analysis (18 papers) and User Authentication and Security Systems (13 papers). The work is most often cited by research in Signal Processing (250 citations), Computer Vision and Pattern Recognition (238 citations) and Information Systems (123 citations). Pawel Drozdowski has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Christian Rathgeb, Christoph Busch, Naser Damer, Jascha Kolberg, Marta Gomez‐Barrero, Andreas Nautsch, José Patino, Massimiliano Todisco, Nicholas Evans and Marian Margraf. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Applied Sciences.
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.