John Marsland
Impact in
- Instrumentation top 10%
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- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Semiconductor materials and devices 22
- Advanced Memory and Neural Computing 21
- Advancements in Semiconductor Devices and Circuit Design 17
- CCD and CMOS Imaging Sensors 9
- Ferroelectric and Negative Capacitance Devices 8
- Low-power high-performance VLSI design 6
John Marsland
48 papers receiving 559 citations
Peers
Comparison fields: 5 of 61
- Instrumentation 39
- Electrical and Electronic Engineering 462
- Hardware and Architecture 28
- Cellular and Molecular Neuroscience 72
- Atomic and Molecular Physics, and Optics 101
Countries citing papers authored by John Marsland
This map shows the geographic impact of John Marsland'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 John Marsland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Marsland more than expected).
Fields of papers citing papers by John Marsland
This network shows the impact of papers produced by John Marsland. 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 John Marsland. The network helps show where John Marsland may publish in the future.
Co-authors
The 25 scholars most cited alongside John Marsland, 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 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 15 | |
| 13 | 2015 | 7 | |
| 14 | 2015 | 34 | |
| 15 | 2011 | 7 | |
| 16 | 2008 | 2 | |
| 17 | 2002 | 4 | |
| 18 | 1995 | 7 | |
| 19 | 1990 | 6 | |
| 20 | 1987 | 36 |
About John Marsland
John Marsland is a scholar working on Instrumentation, Electrical and Electronic Engineering, Radiation, Cellular and Molecular Neuroscience and Transportation, having authored 51 papers that have together received 574 indexed citations. Recurring topics across this work include Semiconductor materials and devices (22 papers), Advanced Memory and Neural Computing (21 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), CCD and CMOS Imaging Sensors (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Low-power high-performance VLSI design (6 papers), Neuroscience and Neural Engineering (6 papers) and Phase-change materials and chalcogenides (5 papers). The work is most often cited by research in Instrumentation (39 citations), Electrical and Electronic Engineering (462 citations), Hardware and Architecture (28 citations), Cellular and Molecular Neuroscience (72 citations) and Atomic and Molecular Physics, and Optics (101 citations). John Marsland has collaborated with scholars based in United Kingdom, China and Belgium. Frequent co-authors include J. F. Zhang, Weidong Zhang, Zheng Chai, Gouri Sankar Kar, R.C. Woods, Zaili Yang, Shiqi Fan, Jin Wang, Ludovic Goux and Zhigang Ji. Their work appears in journals such as IEEE Electron Device Letters, IEEE Transactions on Electron Devices, IEEE Access, Microelectronic Engineering and Electronics Letters.
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.