Mark E. Dean

1.0k total citations
24 papers, 464 citations indexed

About

Mark E. Dean is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Mark E. Dean has authored 24 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Mark E. Dean's work include Advanced Memory and Neural Computing (17 papers), Neural Networks and Reservoir Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Mark E. Dean is often cited by papers focused on Advanced Memory and Neural Computing (17 papers), Neural Networks and Reservoir Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). Mark E. Dean collaborates with scholars based in United States and Slovakia. Mark E. Dean's co-authors include David L. Dill, James S. Plank, Garrett S. Rose, Ted E. Williams, Catherine D. Schuman, Mark Horowitz, J.D. Birdwell, Steven M. Nowick, J. Parker Mitchell and Mark Horowitz and has published in prestigious journals such as IEEE Access, IBM Journal of Research and Development and Integration.

In The Last Decade

Mark E. Dean

22 papers receiving 450 citations

Peers

Mark E. Dean
Mrigank Sharad United States
Bo Marr United States
Heiner Giefers Switzerland
Edouard Giacomin United States
Georg Ellguth Germany
Martin A. Trefzer United Kingdom
Po-Tsang Huang Taiwan
Rick Amerson United States
Keh-Chung Wang Taiwan
Mrigank Sharad United States
Mark E. Dean
Citations per year, relative to Mark E. Dean Mark E. Dean (= 1×) peers Mrigank Sharad

Countries citing papers authored by Mark E. Dean

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark E. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Dean. A scholar is included among the top collaborators of Mark E. Dean based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark E. Dean. Mark E. Dean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dean, Mark E., et al.. (2019). A Review of Spiking Neuromorphic Hardware Communication Systems. IEEE Access. 7. 135606–135620. 78 indexed citations
2.
Dean, Mark E., et al.. (2018). Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8.
3.
Schuman, Catherine D., et al.. (2018). Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 379–383. 8 indexed citations
4.
Mitchell, J. Parker, et al.. (2018). DANNA 2. 1–6. 19 indexed citations
5.
6.
Cady, Nathaniel C., Karsten Beckmann, Ryan Weiss, et al.. (2018). Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture. 3 indexed citations
7.
Schuman, Catherine D., et al.. (2018). Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 1 indexed citations
8.
Reynolds, John J., et al.. (2018). A Comparison of Neuromorphic Classification Tasks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 9 indexed citations
9.
Plank, James S., et al.. (2018). The TENNLab Exploratory Neuromorphic Computing Framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(2). 17–20. 49 indexed citations
10.
Plank, James S., Garrett S. Rose, Mark E. Dean, Catherine D. Schuman, & Nathaniel C. Cady. (2017). A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 12 indexed citations
11.
Dean, Mark E., et al.. (2016). Extensions and enhancements for the DANNA neuromorphic architecture. 1–4. 1 indexed citations
12.
Dean, Mark E., et al.. (2016). A VLSI Design for Neuromorphic Computing. 345. 87–92. 9 indexed citations
13.
Dean, Mark E., John J. Reynolds, Garrett S. Rose, et al.. (2016). An Application Development Platform for neuromorphic computing. 345. 1347–1354. 6 indexed citations
14.
Schuman, Catherine D., J.D. Birdwell, & Mark E. Dean. (2014). Spatiotemporal Classification Using Neuroscience-Inspired Dynamic Architectures. Procedia Computer Science. 41. 89–97. 15 indexed citations
15.
Drouhard, Margaret, Catherine D. Schuman, J.D. Birdwell, & Mark E. Dean. (2014). Visual analytics for neuroscience-inspired dynamic architectures. 6. 106–113. 2 indexed citations
16.
Brock, Bishop, Gary D. Carpenter, Eli Chiprout, et al.. (2001). Experience with building a commodity Intel-based ccNUMA system. IBM Journal of Research and Development. 45(2). 207–227. 5 indexed citations
17.
Brock, Bishop, Gary D. Carpenter, Eli Chiprout, et al.. (1999). Windows NT in a ccNUMA system. 7–7. 3 indexed citations
18.
Dean, Mark E., David L. Dill, & Mark Horowitz. (1994). Self-timed logic using Current-Sensing Completion Detection (CSCD). The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 7(1-2). 7–16. 42 indexed citations
19.
Nowick, Steven M., Mark E. Dean, David L. Dill, & Mark Horowitz. (1993). The design of a high-performance cache controller: a case study in asynchronous synthesis. Integration. 15(3). 241–262. 40 indexed citations
20.
Dean, Mark E., Ted E. Williams, & David L. Dill. (1991). Efficient self-timing with level-encoded 2-phase dual-rail (LEDR). 55–70. 95 indexed citations

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.

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