Mario Kirschbaum
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- VLSI and Analog Circuit Testing
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- Cryptographic Implementations and Security
- Security and Verification in Computing
- Coding theory and cryptography
- Cryptography and Data Security
Papers in
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- Physical Unclonable Functions (PUFs) and Hardware Security 5
- VLSI and Analog Circuit Testing 2
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- Cryptographic Implementations and Security 6
- Cryptography and Data Security 1
- Co-authors
- Thomas Popp (2 shared papers)Christof Paar (1 shared paper)Amir Moradi (1 shared paper)Thomas Eisenbarth (1 shared paper)Thomas Plos (2 shared papers)Stefan Tillich (2 shared papers)Jörn-Marc Schmidt (2 shared papers)Martin Feldhofer (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Bristol Research (University of Bristol) (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Mario Kirschbaum
8 papers receiving 72 citations
Peers
Comparison fields: 5 of 12
- Hardware and Architecture 56
- Artificial Intelligence 72
- Computer Vision and Pattern Recognition 30
- Signal Processing 10
- Computational Theory and Mathematics 3
Countries citing papers authored by Mario Kirschbaum
This map shows the geographic impact of Mario Kirschbaum'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 Mario Kirschbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Kirschbaum more than expected).
Fields of papers citing papers by Mario Kirschbaum
This network shows the impact of papers produced by Mario Kirschbaum. 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 Mario Kirschbaum. The network helps show where Mario Kirschbaum may publish in the future.
Co-authors
The 8 scholars most cited alongside Mario Kirschbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 22 | |
| 2 | Uniform Evaluation of Hardware Implementations of the Round-Two SHA-3 Candidates | 2010 | 16 |
| 3 | 2009 | 13 | |
| 4 | Evaluation of Power Estimation Methods Based on Logic Simulations | 2007 | 12 |
| 5 | 2013 | 5 | |
| 6 | 2010 | 5 | |
| 7 | Investigation of DPA-Resistant Logic Styles | 2007 | 2 |
| 8 | Learning from Electromagnetic Emanations | A Case Study for iMDPL | 2011 | 1 |
About Mario Kirschbaum
Mario Kirschbaum is a scholar working on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 76 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), VLSI and Analog Circuit Testing (2 papers), Radiation Effects in Electronics (2 papers), Advanced Malware Detection Techniques (1 paper), VLSI and FPGA Design Techniques (1 paper), Cryptography and Data Security (1 paper) and Low-power high-performance VLSI design (1 paper). The work is most often cited by research in Hardware and Architecture (56 citations), Artificial Intelligence (72 citations), Computer Vision and Pattern Recognition (30 citations), Signal Processing (10 citations) and Computational Theory and Mathematics (3 citations). Mario Kirschbaum has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Thomas Popp, Christof Paar, Amir Moradi, Thomas Eisenbarth, Thomas Plos, Stefan Tillich, Jörn-Marc Schmidt and Martin Feldhofer. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Bristol Research (University of Bristol).
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.