David Goltzsche
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Security and Verification in Computing 7
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- Distributed systems and fault tolerance 5
- Network Security and Intrusion Detection 1
- Software-Defined Networks and 5G 1
- Co-authors
- Rüdiger Kapitza (7 shared papers)Peter Pietzuch (5 shared papers)Christof Fetzer (4 shared papers)Divya Muthukumaran (3 shared papers)Thomas Knauth (2 shared papers)Joshua Lind (2 shared papers)David Eyers (2 shared papers)Christian Priebe (2 shared papers)
- Journals
- Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG)) (4 papers)Spiral (Imperial College London) (2 papers)Operating Systems Design and Implementation (1 paper)
- Partner nations
- GermanyUnited KingdomNew Zealand
In The Last Decade
David Goltzsche
7 papers receiving 510 citations
David Goltzsche's Hit Papers
Peers
Comparison fields: 5 of 18
- Signal Processing 204
- Hardware and Architecture 97
- Artificial Intelligence 449
- Information Systems 303
- Computer Networks and Communications 225
Countries citing papers authored by David Goltzsche
This map shows the geographic impact of David Goltzsche'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 David Goltzsche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Goltzsche more than expected).
Fields of papers citing papers by David Goltzsche
This network shows the impact of papers produced by David Goltzsche. 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 David Goltzsche. The network helps show where David Goltzsche may publish in the future.
Co-authors
The 21 scholars most cited alongside David Goltzsche, 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 | SCONE: secure Linux containers with Intel SGX Hit paper breakdown → | 2016 | 297 |
| 2 | 2016 | 79 | |
| 3 | Glamdring: automatic application partitioning for intel SGX | 2017 | 60 |
| 4 | 2018 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 6 |
About David Goltzsche
David Goltzsche is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Infectious Diseases, having authored 7 papers that have together received 525 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Cloud Data Security Solutions (5 papers), Distributed systems and fault tolerance (5 papers), Web Application Security Vulnerabilities (1 paper), Advanced Malware Detection Techniques (1 paper), Network Security and Intrusion Detection (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Signal Processing (204 citations), Hardware and Architecture (97 citations), Artificial Intelligence (449 citations), Information Systems (303 citations) and Computer Networks and Communications (225 citations). David Goltzsche has collaborated with scholars based in Germany, United Kingdom and New Zealand. Frequent co-authors include Rüdiger Kapitza, Peter Pietzuch, Christof Fetzer, Divya Muthukumaran, Thomas Knauth, Joshua Lind, David Eyers, Christian Priebe, Dan O’Keeffe and Sergei Arnautov. Their work appears in journals such as Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG)), Spiral (Imperial College London) and Operating Systems Design and Implementation.
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.