Mark E. Dean

1.0k citations
24 papers · 464 · h-index 11

Impact in

Papers in

Mark E. Dean

22 papers receiving 450 citations

Peers

Mark E. Dean
Comparison fields: 5 of 38
  • Hardware and Architecture 118
  • Electrical and Electronic Engineering 415
  • Artificial Intelligence 160
  • Cognitive Neuroscience 92
  • Computer Networks and Communications 90
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Citations per field
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Citations per year

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-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.

Border = papers with Mark E. Dean Line = papers co-authored together Mark E. Dean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 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)
199195
2 201978
3 201849
4 199442
5 199340
6 201732
7 200220
8 201819
9 201415
10 201712
11 201412
12 20169
13 20189
14 20188
15 20166
16 20015
17
Windows NT in a ccNUMA system
19993
18
Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture
20183
19 20203
20 20142

About Mark E. Dean

Mark E. Dean is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Neural Networks and Reservoir Computing (12 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Neural dynamics and brain function (7 papers), Interconnection Networks and Systems (4 papers), Neuroscience and Neural Engineering (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Hardware and Architecture (118 citations), Electrical and Electronic Engineering (415 citations), Artificial Intelligence (160 citations), Cognitive Neuroscience (92 citations) and Computer Networks and Communications (90 citations). Mark E. Dean has collaborated with scholars based in United States and Slovakia. Frequent co-authors include David L. Dill, James S. Plank, Garrett S. Rose, Ted E. Williams, Catherine D. Schuman, Mark Horowitz, J.D. Birdwell, J. Parker Mitchell, Steven M. Nowick and Mark Horowitz. Their work appears in journals such as IEEE Access, IBM Journal of Research and Development, Integration, The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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