Mike Davies

5.3k total citations · 1 hit paper
31 papers, 948 citations indexed

About

Mike Davies is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Mike Davies has authored 31 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Mike Davies's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Sparse and Compressive Sensing Techniques (7 papers). Mike Davies is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Sparse and Compressive Sensing Techniques (7 papers). Mike Davies collaborates with scholars based in United States, United Kingdom and Switzerland. Mike Davies's co-authors include Andreas Wild, Garrick Orchard, Prasad Joshi, Yulia Sandamirskaya, Sumedh R. Risbud, G. A. Fonseca Guerra, John Thompson, Gautham N. Chinya, Chit-Kwan Lin and Pierre Vandergheynst and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Mike Davies

30 papers receiving 926 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook

2021 332 citations Mike Davies, Andreas Wild et al. Proceedings of the IEEE profile →

Peers

Countries citing papers authored by Mike Davies

Since Specialization

Citations

This map shows the geographic impact of Mike Davies'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 Mike Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Davies more than expected).

Fields of papers citing papers by Mike Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Davies. 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 Mike Davies. The network helps show where Mike Davies may publish in the future.

Co-authorship network of co-authors of Mike Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Davies. A scholar is included among the top collaborators of Mike Davies 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 Mike Davies. Mike Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Efficient Video and Audio Processing with Loihi 2 2024 ·Sumit Bam Shrestha, (unknown), (unknown), (unknown), Mike Davies	14
2	An ultra energy-efficient hardware platform for neuromorphic computing enabled by 2D-TMD tunnel-FETs 2024 ·Nature Communications ·Arnab Pal, (unknown), Junkai Jiang, Wei Cao, Mike Davies, Vivek De, Kaustav Banerjee	15
3	The Intel neuromorphic DNS challenge 2023 ·SHILAP Revista de lepidopterología ·(unknown), Sumit Bam Shrestha, Daniel Ben Dayan Rubin, (unknown), Garrick Orchard, (unknown), (unknown), Mike Davies	18
4	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware 2022 ·Proceedings of the IEEE ·Denis Kleyko, Mike Davies, (unknown), Pentti Kanerva, (unknown), Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer	47
5	Efficient Neuromorphic Signal Processing with Resonator Neurons 2022 ·Journal of Signal Processing Systems ·E. Paxon Frady, (unknown), Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies	11
6	Sketched RT3D: How to Reconstruct Billions of Photons Per Second 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Julián Tachella, Michael P. Sheehan, Mike Davies	4
7	Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook breakdown → 2021 ·Proceedings of the IEEE ·Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, G. A. Fonseca Guerra, Prasad Joshi, (unknown), Sumedh R. Risbud	332
8	Lessons from Loihi: Progress in Neuromorphic Computing 2021 ·Mike Davies	20
9	Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks 2020 ·Medical Image Analysis ·Mohammad Golbabaee, Guido Buonincontri, (unknown), Marion I. Menzel, Bjoern Menze, Mike Davies, Pedro A. Gómez	16
10	Programming Spiking Neural Networks on Intel’s Loihi 2018 ·Computer ·Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang	87
11	Mapping the spatial distribution and activity of 226 Ra at legacy sites through Machine Learning interpretation of gamma-ray spectrometry data 2016 ·The Science of The Total Environment ·(unknown), Andrew N. Tyler, Leslie S. Smith, (unknown), Mike Davies	15
12	Remediating radium contaminated legacy sites: Advances made through machine learning in routine monitoring of “hot” particles 2015 ·The Science of The Total Environment ·(unknown), Andrew N. Tyler, Leslie S. Smith, (unknown), Mike Davies	18
13	Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems 2014 ·IEEE Transactions on Information Theory ·(unknown), Mike Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval	22
14	Advanced image formation and processing of partial synthetic aperture radar data 2012 ·IET Signal Processing ·(unknown), C. M. Du, Gabriel Rilling, Mike Davies	19
15	Automatic target recognition from highly incomplete SAR data 2011 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Gabriel Rilling, Mike Davies, B. Mulgrew	2
16	Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals 2011 ·IEEE Transactions on Signal Processing ·(unknown), Mike Davies, John Thompson	60
17	A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers 2010 ·IEEE Transactions on Audio Speech and Language Processing ·(unknown), Mike Davies	10
18	Musical Instrument Identification using LSF and K-means 2005 ·Journal of the Audio Engineering Society ·(unknown), Mike Davies, M. Sandler	4
19	Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio 2003 ·Journal of the Audio Engineering Society ·Chris Duxbury, Mike Davies, M. Sandler	4
20	Intelligent Audio Source Separation using Independent Component Analysis 2002 ·Journal of the Audio Engineering Society ·Nikolaos Mitianoudis, Mike Davies	2

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.

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