Justin Morris

494 total citations
29 papers, 291 citations indexed

About

Justin Morris is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Neurology. According to data from OpenAlex, Justin Morris has authored 29 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 3 papers in Neurology. Recurrent topics in Justin Morris's work include Ferroelectric and Negative Capacitance Devices (26 papers), Advanced Memory and Neural Computing (22 papers) and Neural Networks and Reservoir Computing (8 papers). Justin Morris is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (26 papers), Advanced Memory and Neural Computing (22 papers) and Neural Networks and Reservoir Computing (8 papers). Justin Morris collaborates with scholars based in United States, United Kingdom and South Korea. Justin Morris's co-authors include Mohsen Imani, Tajana Rosing, Behnam Khaleghi, Tajana Rosing, Barış Akşanlı, Hanyang Xu, P. J. Laycock, Giovanni De Micheli, Jaeyoung Kang and Saransh Gupta and has published in prestigious journals such as Biometrika, IEEE Access and Sensors.

In The Last Decade

Justin Morris

27 papers receiving 282 citations

Peers

Justin Morris
Yiming Chen China
Jaeyoung Kang United States
Chia-Chun Lin Taiwan
Shanshan Xie United States
Zihan Wu China
Hyeonsu Kim South Korea
Ioannis A. Papistas Belgium
Chengshuo Yu Singapore
Lucian Prodan Romania
Jiayi Huang United States
Yiming Chen China
Justin Morris
Citations per year, relative to Justin Morris Justin Morris (= 1×) peers Yiming Chen

Countries citing papers authored by Justin Morris

Since Specialization
Citations

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

Fields of papers citing papers by Justin Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Morris

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

All Works

20 of 20 papers shown
1.
Morris, Justin, et al.. (2024). PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. 896–901. 2 indexed citations
2.
Xu, Weihong, Saransh Gupta, Justin Morris, et al.. (2024). Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(2). 525–539. 4 indexed citations
3.
4.
Yu, Xiaofan, et al.. (2024). Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing. Sensors. 24(3). 1014–1014. 1 indexed citations
5.
Morris, Justin, et al.. (2023). Multi-Label Classification With Hyperdimensional Representations. IEEE Access. 11. 108458–108474. 1 indexed citations
6.
Salamat, Sahand, et al.. (2023). HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on FPGAs. 1–9. 7 indexed citations
7.
Morris, Justin, et al.. (2022). 𝖧𝗒𝖣𝖱𝖤𝖠: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. ACM Transactions on Embedded Computing Systems. 21(6). 1–25. 15 indexed citations
8.
Morris, Justin, et al.. (2022). Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline. Frontiers in Neuroscience. 16. 867192–867192. 1 indexed citations
9.
Gupta, Saransh, Behnam Khaleghi, Sahand Salamat, et al.. (2022). Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Transactions on Embedded Computing Systems. 21(3). 1–25. 1 indexed citations
10.
Khaleghi, Behnam, Hanyang Xu, Justin Morris, & Tajana Rosing. (2021). tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. 408–413. 41 indexed citations
11.
Morris, Justin, et al.. (2021). HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. 723–728. 14 indexed citations
12.
Imani, Mohsen, et al.. (2021). MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. 444–449. 2 indexed citations
13.
Morris, Justin, et al.. (2021). Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 897–907. 6 indexed citations
14.
Gupta, Saransh, et al.. (2021). Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. pp. 321–325. 4 indexed citations
15.
Morris, Justin, et al.. (2021). AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. 93–100. 4 indexed citations
16.
Morris, Justin, Saransh Gupta, Jeffrey Xu Yu, et al.. (2020). Multi-label HD Classification in 3D Flash. 1. 10–15. 1 indexed citations
17.
Imani, Mohsen, et al.. (2019). AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 38 indexed citations
18.
Imani, Mohsen, et al.. (2019). Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Design and Test. 37(1). 28–35. 2 indexed citations
19.
Imani, Mohsen, et al.. (2019). BRIC. 1–6. 44 indexed citations
20.
Morris, Justin & P. J. Laycock. (1974). Discriminant Analysis of Directional Data. Biometrika. 61(2). 335–335. 2 indexed citations

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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