S. Summers
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
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- Parallel Computing and Optimization Techniques
Papers in
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- Particle Detector Development and Performance 9
- Particle physics theoretical and experimental studies 7
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- Optical Network Technologies 1
- Co-authors
- Vladimir Lončar (10 shared papers)M. Pierini (10 shared papers)J. Ngadiuba (8 shared papers)J. Duarte (5 shared papers)T. K. Aarrestad (5 shared papers)Z. Wu (4 shared papers)Jerzy W. Grzymala‐Busse (1 shared paper)Philip Harris (4 shared papers)
- Journals
- Machine Learning Science and Technology (3 papers)Nature Machine Intelligence (2 papers)Journal of Physics Conference Series (1 paper)EPJ Web of Conferences (3 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
S. Summers
15 papers receiving 179 citations
Peers
Comparison fields: 5 of 53
- Nuclear and High Energy Physics 53
- Hardware and Architecture 21
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 71
- Health Information Management 6
Countries citing papers authored by S. Summers
This map shows the geographic impact of S. Summers'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 S. Summers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Summers more than expected).
Fields of papers citing papers by S. Summers
This network shows the impact of papers produced by S. Summers. 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 S. Summers. The network helps show where S. Summers may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Summers, 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 | 2022 | 52 | |
| 2 | Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML | 2020 | 47 |
| 3 | The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing. | 1992 | 24 |
| 4 | 2022 | 19 | |
| 5 | Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml | 2020 | 15 |
| 6 | 2023 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2001 | 1 |
About S. Summers
S. Summers is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation, Hardware and Architecture and Artificial Intelligence, having authored 15 papers that have together received 188 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (9 papers), Particle physics theoretical and experimental studies (7 papers), Radiation Detection and Scintillator Technologies (3 papers), Medical Imaging Techniques and Applications (2 papers), Optical Network Technologies (1 paper), Adversarial Robustness in Machine Learning (1 paper), Spacecraft Design and Technology (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (53 citations), Hardware and Architecture (21 citations), Computer Vision and Pattern Recognition (47 citations), Artificial Intelligence (71 citations) and Health Information Management (6 citations). S. Summers has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Vladimir Lončar, M. Pierini, J. Ngadiuba, J. Duarte, T. K. Aarrestad, Z. Wu, Jerzy W. Grzymala‐Busse, Philip Harris, Dylan Rankin and Ekaterina Govorkova. Their work appears in journals such as Machine Learning Science and Technology, Nature Machine Intelligence, Journal of Physics Conference Series, EPJ Web of Conferences and DSpace@MIT (Massachusetts Institute of Technology).
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.