Michael Sandborn
Impact in
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- Blockchain Technology Applications and Security
Papers in
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- Physical Unclonable Functions (PUFs) and Hardware Security 3
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- Reinforcement Learning in Robotics 1
- Topic Modeling 1
- Natural Language Processing Techniques 1
- Co-authors
- Jules White (7 shared papers)Henry Gilbert (1 shared paper)Douglas C. Schmidt (1 shared paper)Jesse Spencer-Smith (1 shared paper)Carlos Olea (4 shared papers)Logan Sturm (1 shared paper)Pablo A. Tarazaga (1 shared paper)Mohammad I. Albakri (1 shared paper)
- Journals
- Journal of Manufacturing Systems (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Sandborn
6 papers receiving 37 citations
Peers
Comparison fields: 5 of 26
- Health Informatics 1
- Information Systems 11
- Hardware and Architecture 3
- Industrial and Manufacturing Engineering 4
- Artificial Intelligence 12
Countries citing papers authored by Michael Sandborn
This map shows the geographic impact of Michael Sandborn'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 Michael Sandborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sandborn more than expected).
Fields of papers citing papers by Michael Sandborn
This network shows the impact of papers produced by Michael Sandborn. 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 Michael Sandborn. The network helps show where Michael Sandborn may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Sandborn, 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 | 2023 | 21 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 0 |
About Michael Sandborn
Michael Sandborn is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Automotive Engineering, having authored 8 papers that have together received 37 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Advanced Malware Detection Techniques (2 papers), Autonomous Vehicle Technology and Safety (1 paper), Reinforcement Learning in Robotics (1 paper), Topic Modeling (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (1 citation), Information Systems (11 citations), Hardware and Architecture (3 citations), Industrial and Manufacturing Engineering (4 citations) and Artificial Intelligence (12 citations). Michael Sandborn has collaborated with scholars based in United States. Frequent co-authors include Jules White, Henry Gilbert, Douglas C. Schmidt, Jesse Spencer-Smith, Carlos Olea, Logan Sturm, Pablo A. Tarazaga, Mohammad I. Albakri, Christopher B. Williams and Sam Hays. Their work appears in journals such as Journal of Manufacturing Systems, IEEE Transactions on Dependable and Secure Computing and Procedia Computer Science.
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.