Michael Klachko
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 2
- Semiconductor materials and devices 1
- CCD and CMOS Imaging Sensors 1
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- Neuroscience and Neural Engineering 2
- Co-authors
- Dmitri B. Strukov (6 shared papers)Konstantin K. Likharev (2 shared papers)M. Prezioso (2 shared papers)Xin Guo (2 shared papers)F. Merrikh Bayat (2 shared papers)Xinjie Guo (1 shared paper)Farnood Merrikh-Bayat (1 shared paper)Mohammad Bavandpour (1 shared paper)
- Journals
- IEEE Transactions on Electron Devices (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Michael Klachko
6 papers receiving 322 citations
Peers
Comparison fields: 5 of 25
- Electrical and Electronic Engineering 320
- Cellular and Molecular Neuroscience 70
- Hardware and Architecture 21
- Artificial Intelligence 91
- Cognitive Neuroscience 33
Countries citing papers authored by Michael Klachko
This map shows the geographic impact of Michael Klachko'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 Michael Klachko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Klachko more than expected).
Fields of papers citing papers by Michael Klachko
This network shows the impact of papers produced by Michael Klachko. 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 Michael Klachko. The network helps show where Michael Klachko may publish in the future.
Co-authors
The 14 scholars most cited alongside Michael Klachko, 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 | 2017 | 157 | |
| 2 | 2017 | 125 | |
| 3 | 2016 | 28 | |
| 4 | 2019 | 12 | |
| 5 | 2015 | 8 | |
| 6 | 2021 | 4 |
About Michael Klachko
Michael Klachko is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience, having authored 6 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Reservoir Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Advanced Data Storage Technologies (1 paper), Semiconductor materials and devices (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Physical Unclonable Functions (PUFs) and Hardware Security (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (320 citations), Cellular and Molecular Neuroscience (70 citations), Hardware and Architecture (21 citations), Artificial Intelligence (91 citations) and Cognitive Neuroscience (33 citations). Michael Klachko has collaborated with scholars based in United States and Japan. Frequent co-authors include Dmitri B. Strukov, Konstantin K. Likharev, M. Prezioso, Xin Guo, F. Merrikh Bayat, Xinjie Guo, Farnood Merrikh-Bayat, Mohammad Bavandpour, Mohammad Reza Mahmoodi and K. K. Likharev. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems I Regular Papers.
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.