William Severa

497 total citations
31 papers, 273 citations indexed

About

William Severa is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, William Severa has authored 31 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in William Severa's work include Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Neural Networks and Reservoir Computing (10 papers). William Severa is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Neural Networks and Reservoir Computing (10 papers). William Severa collaborates with scholars based in United States and Spain. William Severa's co-authors include James B. Aimone, Craig M. Vineyard, Ojas Parekh, Stephen Verzi, Conrad D. James, Kristofor D. Carlson, Ali Pınar, Cynthia A. Phillips, Timothy J. Draelos and Nadine E. Miner and has published in prestigious journals such as Scientific Reports, Computer and Neural Computation.

In The Last Decade

William Severa

26 papers receiving 263 citations

Peers

William Severa

EEE

CMN

CVPR

Craig M. Vineyard United States

Shasha Guo China

Gregor Lenz France

Jinwei Xing United States

Peng Qu China

Amirreza Yousefzadeh Netherlands

Amar Shrestha United States

Adarsh Kumar Kosta United States

Ruiting Lian China

Craig M. Vineyard United States

William Severa

193 ×1.1

EEE

157 ×1.1

95 ×1.3

45 ×1.1

CMN

31 ×1.3

CVPR

Citations per year, relative to William Severa William Severa (= 1×) peers Craig M. Vineyard

Countries citing papers authored by William Severa

Since Specialization

Citations

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

Fields of papers citing papers by William Severa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Severa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Misra, Shashank, et al.. (2025). Advantages of imperfect dice rolls over coin flips for random number generation. Scientific Reports. 15(1). 11818–11818.

Zhao, Liang, et al.. (2024). The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. 1–7.

Dick, Robert P., Rob Aitken, John Paul Strachan, et al.. (2023). Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer. 56(3). 47–58. 3 indexed citations

Severa, William, et al.. (2023). Neuromorphic Population Evaluation using the Fugu Framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7.

Aimone, James B., Prasanna Date, G. A. Fonseca Guerra, et al.. (2022). A review of non-cognitive applications for neuromorphic computing. Neuromorphic Computing and Engineering. 2(3). 32003–32003. 33 indexed citations

Severa, William, et al.. (2022). Exploring SAR ATR with neural networks: going beyond accuracy. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 14–14. 2 indexed citations

Aimone, James B., Richard B. Lehoucq, William Severa, & J. Darby Smith. (2021). Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. 27. 64–73. 4 indexed citations

Aimone, James B., Ojas Parekh, Cynthia A. Phillips, et al.. (2021). Provable Advantages for Graph Algorithms in Spiking Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 35–47. 13 indexed citations

Aimone, James B., et al.. (2021). Spiking Neural Streaming Binary Arithmetic. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 79–83. 3 indexed citations

10.

Severa, William, et al.. (2021). Exploring characteristics of neural network architecture computation for enabling SAR ATR. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7–7. 7 indexed citations

11.

Aimone, James B., Ojas Parekh, Cynthia A. Phillips, et al.. (2020). Provable Neuromorphic Advantages for Computing Shortest Paths. 497–499. 12 indexed citations

12.

Bennett, Christopher H., T. Patrick Xiao, Ben Feinberg, et al.. (2020). Evaluating complexity and resilience trade-offs in emerging memory inference machines. 1–4. 1 indexed citations

13.

Severa, William, et al.. (2019). Training deep neural networks for binary communication with the Whetstone method. Nature Machine Intelligence. 1(2). 86–94. 69 indexed citations

14.

Vineyard, Craig M., et al.. (2019). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 5 indexed citations

15.

Aimone, James B., et al.. (2019). Dynamic Programming with Spiking Neural Computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–9. 15 indexed citations

16.

Vineyard, Craig M., et al.. (2019). A Resurgence in Neuromorphic Architectures Enabling Remote Sensing Computation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 33–40. 4 indexed citations

17.

Aimone, James B., Ojas Parekh, & William Severa. (2017). Neural computing for scientific computing applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 6 indexed citations

18.

Severa, William, Ojas Parekh, Conrad D. James, & James B. Aimone. (2016). A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural Computation. 29(1). 94–117. 11 indexed citations

19.

Severa, William, Kristofor D. Carlson, Ojas Parekh, Craig M. Vineyard, & James B. Aimone. (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

20.

Blanchet-Sadri, F., et al.. (2011). Avoiding abelian squares in partial words. Journal of Combinatorial Theory Series A. 119(1). 257–270. 6 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.

Explore authors with similar magnitude of impact