L.A. Akers
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- Advancements in Semiconductor Devices and Circuit Design 27
- Semiconductor materials and devices 22
- Advanced Memory and Neural Computing 19
- Silicon Carbide Semiconductor Technologies 15
- CCD and CMOS Imaging Sensors 12
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- Neural Networks and Applications 28
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- Neural dynamics and brain function 8
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- Analog and Mixed-Signal Circuit Design 8
- Co-authors
- D. K. FerryLuke TheogarajanThomas A. DeMassaP. HaslerMutsuo HidakaSong YuWilliam M. PortnoyD.N. Pattanayak
- Journals
- IEEE Transactions on Electron Devices (7 papers)Solid-State Electronics (5 papers)IEEE Electron Device Letters (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
L.A. Akers
63 papers receiving 612 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 583
- Hardware and Architecture 24
- Artificial Intelligence 82
- Nuclear Energy and Engineering 1
- Signal Processing 20
Countries citing papers authored by L.A. Akers
This map shows the geographic impact of L.A. Akers'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 L.A. Akers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.A. Akers more than expected).
Fields of papers citing papers by L.A. Akers
This network shows the impact of papers produced by L.A. Akers. 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 L.A. Akers. The network helps show where L.A. Akers may publish in the future.
Co-authorship network
The 23 scholars most cited alongside L.A. Akers, 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 | 2003 | 1 | |
| 2 | 2002 | 24 | |
| 3 | 2002 | 0 | |
| 4 | 2002 | 3 | |
| 5 | 2002 | 1 | |
| 6 | 2002 | 5 | |
| 7 | 1999 | 1 | |
| 8 | 1997 | 9 | |
| 9 | 1993 | 15 | |
| 10 | Synthetic neural systems in VLSI | 1990 | 3 |
| 11 | 1990 | 0 | |
| 12 | 1990 | 5 | |
| 13 | Integrated circuit emulation of ART1 networks | 1989 | 3 |
| 14 | 1987 | 28 | |
| 15 | 1985 | 2 | |
| 16 | 1982 | 2 | |
| 17 | 1981 | 25 | |
| 18 | 1980 | 1 | |
| 19 | 1980 | 4 | |
| 20 | 1978 | 5 |
About L.A. Akers
L.A. Akers is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Cognitive Neuroscience and Control and Systems Engineering, having authored 72 papers that have together received 645 indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Advancements in Semiconductor Devices and Circuit Design (27 papers), Semiconductor materials and devices (22 papers), Advanced Memory and Neural Computing (19 papers), Silicon Carbide Semiconductor Technologies (15 papers), CCD and CMOS Imaging Sensors (12 papers), Neural dynamics and brain function (8 papers) and Analog and Mixed-Signal Circuit Design (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (583 citations), Hardware and Architecture (24 citations), Artificial Intelligence (82 citations), Nuclear Energy and Engineering (1 citation) and Signal Processing (20 citations). L.A. Akers has collaborated with scholars based in United States and Japan. Frequent co-authors include D. K. Ferry, Luke Theogarajan, Thomas A. DeMassa, P. Hasler, Mutsuo Hidaka, Song Yu, William M. Portnoy, D.N. Pattanayak, R. G. Downing and Robert David. Their work appears in journals such as IEEE Transactions on Electron Devices, Solid-State Electronics, IEEE Electron Device Letters, Electronics Letters and IEEE Circuits and Devices Magazine.
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.