Jeff Kusnitz
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 2
- CCD and CMOS Imaging Sensors 1
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- Visual Attention and Saliency Detection 1
- Co-authors
- David Van Den Berg (2 shared papers)Brian Taba (2 shared papers)Dharmendra S. Modha (2 shared papers)Myron Flickner (2 shared papers)Arnon Amir (2 shared papers)Alexander Andreopoulos (2 shared papers)Tapan K. Nayak (1 shared paper)Carmelo di Nolfo (1 shared paper)
- Journals
- IBM Journal of Research and Development (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jeff Kusnitz
3 papers receiving 553 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 254
- Electrical and Electronic Engineering 476
- Human-Computer Interaction 35
- Artificial Intelligence 199
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Jeff Kusnitz
This map shows the geographic impact of Jeff Kusnitz'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 Jeff Kusnitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Kusnitz more than expected).
Fields of papers citing papers by Jeff Kusnitz
This network shows the impact of papers produced by Jeff Kusnitz. 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 Jeff Kusnitz. The network helps show where Jeff Kusnitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Kusnitz, 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 | A Low Power, Fully Event-Based Gesture Recognition System Hit paper breakdown → | 2017 | 559 |
| 2 | 2015 | 12 | |
| 3 | A funny thing happened on the way to a billion .... | 2006 | 1 |
About Jeff Kusnitz
Jeff Kusnitz is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction and Infectious Diseases, having authored 3 papers that have together received 572 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (2 papers), Hand Gesture Recognition Systems (1 paper), Visual Attention and Saliency Detection (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (254 citations), Electrical and Electronic Engineering (476 citations), Human-Computer Interaction (35 citations), Artificial Intelligence (199 citations) and Cellular and Molecular Neuroscience (85 citations). Jeff Kusnitz has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David Van Den Berg, Brian Taba, Dharmendra S. Modha, Myron Flickner, Arnon Amir, Alexander Andreopoulos, Tapan K. Nayak, Carmelo di Nolfo, Tobi Delbrück and Jeffrey L. McKinstry. Their work appears in journals such as IBM Journal of Research and Development and IEEE Data(base) Engineering Bulletin.
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.