Thorben Moos
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Signal Processing
- Co-authors
- Amir MoradiFrançois‐Xavier StandaertTobias SchneiderNaghmeh KarimiShahram RasoolzadehGregor LeanderChristof PaarGaëtan Cassiers
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (18 papers)Cryptographic Implementations and Security (15 papers)Security and Verification in Computing (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Thorben Moos
18 papers receiving 170 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 142
- Hardware and Architecture 123
- Computer Vision and Pattern Recognition 55
- Electrical and Electronic Engineering 39
- Signal Processing 37
Countries citing papers authored by Thorben Moos
This map shows the geographic impact of Thorben Moos'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 Thorben Moos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorben Moos more than expected).
Fields of papers citing papers by Thorben Moos
This network shows the impact of papers produced by Thorben Moos. 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 Thorben Moos. The network helps show where Thorben Moos may publish in the future.
Co-authorship network of co-authors of Thorben Moos
This figure shows the co-authorship network connecting the top 25 collaborators of Thorben Moos. A scholar is included among the top collaborators of Thorben Moos 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 Thorben Moos. Thorben Moos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 23 | |
| 18 | 13 | |
| 19 | 11 | |
| 20 | 16 |
About Thorben Moos
Thorben Moos is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 173 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (18 papers), Cryptographic Implementations and Security (15 papers) and Security and Verification in Computing (9 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Artificial Intelligence (142 citations) and Signal Processing (37 citations). Thorben Moos has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Amir Moradi, François‐Xavier Standaert, Tobias Schneider, Naghmeh Karimi, Shahram Rasoolzadeh, Gregor Leander, Christof Paar, Gaëtan Cassiers, Sayandeep Saha and Falk Schellenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.