Mark E. Dean
Impact in
-
- Advanced Memory and Neural Computing
- Low-power high-performance VLSI design
- VLSI and FPGA Design Techniques
- Hardware and Architecture top 10%
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Memory and Neural Computing 16
- Low-power high-performance VLSI design 5
-
- Parallel Computing and Optimization Techniques 2
- Co-authors
- David L. Dill (5 shared papers)James S. Plank (14 shared papers)Garrett S. Rose (12 shared papers)Catherine D. Schuman (14 shared papers)Mark Horowitz (4 shared papers)Ted E. Williams (1 shared paper)J.D. Birdwell (6 shared papers)J. Parker Mitchell (3 shared papers)
- Journals
- IEEE Access (1 paper)IBM Journal of Research and Development (1 paper)Lecture notes in computer science (1 paper)Integration (1 paper)ACM Great Lakes Symposium on VLSI (GLSVLSI) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Mark E. Dean
25 papers receiving 547 citations
Peers
Comparison fields: 5 of 32
- Electrical and Electronic Engineering 470
- Hardware and Architecture 58
- Computer Networks and Communications 67
- Artificial Intelligence 76
- Cognitive Neuroscience 16
Countries citing papers authored by Mark E. Dean
This map shows the geographic impact of Mark E. Dean'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 Mark E. Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Dean more than expected).
Fields of papers citing papers by Mark E. Dean
This network shows the impact of papers produced by Mark E. Dean. 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 Mark E. Dean. The network helps show where Mark E. Dean may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient self-timing with level-encoded 2-phase dual-rail (LEDR) | 1991 | 106 |
| 2 | 2019 | 98 | |
| 3 | 2018 | 57 | |
| 4 | 1994 | 43 | |
| 5 | 1993 | 40 | |
| 6 | 2017 | 37 | |
| 7 | 2014 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2002 | 21 | |
| 10 | 1994 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2001 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2020 | 5 | |
| 20 | Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture | 2018 | 4 |
About Mark E. Dean
Mark E. Dean is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 26 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Low-power high-performance VLSI design (5 papers), Neural Networks and Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers), Neural Networks and Reservoir Computing (1 paper), Evolutionary Algorithms and Applications (1 paper), Data Visualization and Analytics (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (470 citations), Hardware and Architecture (58 citations), Computer Networks and Communications (67 citations), Artificial Intelligence (76 citations) and Cognitive Neuroscience (16 citations). Mark E. Dean has collaborated with scholars based in United States and India. Frequent co-authors include David L. Dill, James S. Plank, Garrett S. Rose, Catherine D. Schuman, Mark Horowitz, Ted E. Williams, J.D. Birdwell, J. Parker Mitchell, Steven M. Nowick and Nathaniel C. Cady. Their work appears in journals such as IEEE Access, IBM Journal of Research and Development, Lecture notes in computer science, Integration and ACM Great Lakes Symposium on VLSI (GLSVLSI).
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.