Michael DeBole
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Myron FlicknerAlexander AndreopoulosDharmendra S. ModhaJeffrey L. McKinstryDavid Van Den BergSteve K. EsserBrian TabaTapan K. Nayak
- Topics
- CCD and CMOS Imaging Sensors (8 papers)Advanced Memory and Neural Computing (8 papers)Semiconductor materials and devices (6 papers)
- Journals
- IEEE Transactions on ComputersInternational Journal of Parallel ProgrammingJournal of Signal Processing Systems
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Michael DeBole
21 papers receiving 781 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 628
- Cognitive Neuroscience 280
- Artificial Intelligence 245
- Computer Vision and Pattern Recognition 180
- Cellular and Molecular Neuroscience 92
Countries citing papers authored by Michael DeBole
This map shows the geographic impact of Michael DeBole'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 DeBole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael DeBole more than expected).
Fields of papers citing papers by Michael DeBole
This network shows the impact of papers produced by Michael DeBole. 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 DeBole. The network helps show where Michael DeBole may publish in the future.
Co-authorship network of co-authors of Michael DeBole
This figure shows the co-authorship network connecting the top 25 collaborators of Michael DeBole. A scholar is included among the top collaborators of Michael DeBole based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael DeBole. Michael DeBole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Low Power, Fully Event-Based Gesture Recognition Systembreakdown → | 559 |
| 2 | 24 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 42 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | Reliability-Aware Design for Nanometer-Scale Devices, January 2008 | 9 |
| 17 | 17 | |
| 18 | 37 | |
| 19 | 12 | |
| 20 | 9 |
About Michael DeBole
Michael DeBole is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 21 papers that have together received 808 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (8 papers), Advanced Memory and Neural Computing (8 papers) and Semiconductor materials and devices (6 papers). The work is most often cited by research in Cognitive Neuroscience (280 citations), Electrical and Electronic Engineering (628 citations) and Hardware and Architecture (65 citations). Michael DeBole has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Myron Flickner, Alexander Andreopoulos, Dharmendra S. Modha, Jeffrey L. McKinstry, David Van Den Berg, Steve K. Esser, Brian Taba, Tapan K. Nayak, Tobi Delbrück and Arnon Amir. Their work appears in journals such as IEEE Transactions on Computers, International Journal of Parallel Programming and Journal of Signal Processing Systems.
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.