Daniel Moghimi
Impact in
- Artificial Intelligence top 2%
- Security and Verification in Computing
- Cryptographic Implementations and Security
- Cryptography and Data Security
- Logic, programming, and type systems
- Privacy-Preserving Technologies in Data
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
-
- Security and Verification in Computing 16
- Cryptographic Implementations and Security 7
- Co-authors
- Michael Schwarz (7 shared papers)Berk Sunar (6 shared papers)Jo Van Bulck (4 shared papers)Daniel Gruss (4 shared papers)Moritz Lipp (4 shared papers)Julian Stecklina (2 shared papers)Thomas Prescher (2 shared papers)Thomas Eisenbarth (3 shared papers)
- Journals
- IACR Transactions on Cryptographic Hardware and Embedded Systems (2 papers)IEEE Micro (1 paper)Lecture notes in computer science (1 paper)International Journal of Parallel Programming (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniel Moghimi
17 papers receiving 842 citations
Peers
Comparison fields: 5 of 16
- Artificial Intelligence 796
- Hardware and Architecture 47
- Computer Networks and Communications 38
- Information Systems 31
- Software 6
Countries citing papers authored by Daniel Moghimi
This map shows the geographic impact of Daniel Moghimi'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 Daniel Moghimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Moghimi more than expected).
Fields of papers citing papers by Daniel Moghimi
This network shows the impact of papers produced by Daniel Moghimi. 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 Daniel Moghimi. The network helps show where Daniel Moghimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Moghimi, 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 | 2019 | 235 | |
| 2 | 2019 | 158 | |
| 3 | 2020 | 152 | |
| 4 | 2018 | 50 | |
| 5 | 2020 | 49 | |
| 6 | 2018 | 42 | |
| 7 | 2022 | 32 | |
| 8 | 2019 | 31 | |
| 9 | Medusa: Microarchitectural data leakage via automated attack synthesis | 2020 | 24 |
| 10 | 2023 | 21 | |
| 11 | 2022 | 19 | |
| 12 | 2024 | 15 | |
| 13 | 2024 | 9 | |
| 14 | 2026 | 6 | |
| 15 | NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems. | 2023 | 5 |
| 16 | 2024 | 2 | |
| 17 | Side-Channel Attacks on Intel SGX: How SGX Amplifies The Power of Cache Attack | 2017 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Daniel Moghimi
Daniel Moghimi is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 20 papers that have together received 851 indexed citations. Recurring topics across this work include Security and Verification in Computing (16 papers) and Cryptographic Implementations and Security (7 papers). The work is most often cited by research in Artificial Intelligence (796 citations), Hardware and Architecture (47 citations), Computer Networks and Communications (38 citations), Information Systems (31 citations) and Software (6 citations). Daniel Moghimi has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Michael Schwarz, Berk Sunar, Jo Van Bulck, Daniel Gruss, Moritz Lipp, Julian Stecklina, Thomas Prescher, Thomas Eisenbarth, Daniel Genkin and Frank Piessens. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, IEEE Micro, Lecture notes in computer science, International Journal of Parallel Programming and eScholarship (California Digital Library).
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.