Marcel Medwed
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Jörn-Marc SchmidtStefan TillichJohann GroßschädlChristian RechbergerMichael HofmannFrançois‐Xavier StandaertStefan MangardDiego F. Aranha
- Topics
- Cryptographic Implementations and Security (11 papers)Advanced Malware Detection Techniques (8 papers)Physical Unclonable Functions (PUFs) and Hardware Security (3 papers)
In The Last Decade
Marcel Medwed
13 papers receiving 139 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 98
- Hardware and Architecture 49
- Computer Networks and Communications 48
- Computer Vision and Pattern Recognition 46
- Information Systems 33
Countries citing papers authored by Marcel Medwed
This map shows the geographic impact of Marcel Medwed'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 Marcel Medwed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Medwed more than expected).
Fields of papers citing papers by Marcel Medwed
This network shows the impact of papers produced by Marcel Medwed. 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 Marcel Medwed. The network helps show where Marcel Medwed may publish in the future.
Co-authorship network of co-authors of Marcel Medwed
This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Medwed. A scholar is included among the top collaborators of Marcel Medwed 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 Marcel Medwed. Marcel Medwed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | IACR Transactions on Cryptographic Hardware and Embedded Systems | 1 |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | Randomizing the Montgomery Multiplication to Repel Template Attacks on Multiplicative Masking | 2 |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 24 | |
| 15 | 20 |
About Marcel Medwed
Marcel Medwed is a scholar working on Signal Processing, Hardware and Architecture and Artificial Intelligence, having authored 15 papers that have together received 149 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (11 papers), Advanced Malware Detection Techniques (8 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Artificial Intelligence (98 citations) and Computer Vision and Pattern Recognition (46 citations). Marcel Medwed has collaborated with scholars based in Austria, Germany and Belgium. Frequent co-authors include Jörn-Marc Schmidt, Stefan Tillich, Johann Großschädl, Christian Rechberger, Michael Hofmann, François‐Xavier Standaert, Stefan Mangard, Michael Hofmann, Diego F. Aranha and Christoph Herbst. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Emerging Topics in Computing and Journal of Cryptographic Engineering.
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.