Dave Johnson
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
-
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
- Equine 1
-
- Parallel Computing and Optimization Techniques 4
- Co-authors
- Venkatesh Akella (3 shared papers)Neil U. Barua (2 shared papers)Max Woolley (4 shared papers)Steven S. Gill (2 shared papers)Marcella Wyatt (2 shared papers)Karen J. Edler (1 shared paper)Bin Yang (1 shared paper)Alison Bienemann (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Substance Use & Misuse (1 paper)Psychological Review (1 paper)IEEE Journal of Solid-State Circuits (1 paper)American Journal of Veterinary Research (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dave Johnson
27 papers receiving 300 citations
Peers
Comparison fields: 5 of 101
- Hardware and Architecture 46
- Biomaterials 42
- Genetics 30
- Orthopedics and Sports Medicine 20
- Equine 3
Countries citing papers authored by Dave Johnson
This map shows the geographic impact of Dave Johnson'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 Dave Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Johnson more than expected).
Fields of papers citing papers by Dave Johnson
This network shows the impact of papers produced by Dave Johnson. 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 Dave Johnson. The network helps show where Dave Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Johnson, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 69 | |
| 2 | 2022 | 48 | |
| 3 | 2010 | 36 | |
| 4 | 1982 | 33 | |
| 5 | 1998 | 21 | |
| 6 | 2015 | 16 | |
| 7 | 1998 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 1981 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 1998 | 8 | |
| 12 | 2010 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2021 | 5 | |
| 16 | How to Do Everything with Your Digital Camera | 2001 | 3 |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 1983 | 2 | |
| 20 | Career Ladder Approach to Training for Community Facilities Personnel and Paraeducators in the State of North Dakota. | 1994 | 2 |
About Dave Johnson
Dave Johnson is a scholar working on Equine, Hardware and Architecture, Genetics, Forestry and Radiation, having authored 31 papers that have together received 320 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Low-power high-performance VLSI design (4 papers), Glioma Diagnosis and Treatment (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Advancements in PLL and VCO Technologies (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Semiconductor materials and devices (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Hardware and Architecture (46 citations), Biomaterials (42 citations), Genetics (30 citations), Orthopedics and Sports Medicine (20 citations) and Equine (3 citations). Dave Johnson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Venkatesh Akella, Neil U. Barua, Max Woolley, Steven S. Gill, Marcella Wyatt, Karen J. Edler, Bin Yang, Alison Bienemann, Michelle Hampson and Frank H. Guenther. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Substance Use & Misuse, Psychological Review, IEEE Journal of Solid-State Circuits and American Journal of Veterinary Research.
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.