S. Summers

12.5k citations

15 papers · 173 indexed · h-index 7

Impact in

Nuclear and High Energy Physics
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
Hardware and Architecture
- Parallel Computing and Optimization Techniques

Papers in ⓘ

Nuclear and High Energy Physics 9
- Particle Detector Development and Performance 9
- Particle physics theoretical and experimental studies 7
Radiation 3
- Radiation Detection and Scintillator Technologies 3

Co-authors: J. Ngadiuba (8 shared papers)M. Pierini (10 shared papers)Vladimir Lončar (10 shared papers)T. K. Aarrestad (5 shared papers)Z. Wu (4 shared papers)J. Duarte (5 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)SHILAP Revista de lepidopterología (3 papers)Journal of Physics Conference Series (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: Switzerland United States United Kingdom

In The Last Decade

S. Summers

15 papers receiving 166 citations

Peers

Countries citing papers authored by S. Summers

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Summers Line = papers co-authored together S. Summers links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider Nature Machine Intelligence ·Ekaterina Govorkova, Ema Puljak, T. K. Aarrestad, Thomas James, Vladimir Lončar, M. Pierini, Adrian Alan Pol, Nicolò Ghielmetti, Maksymilian Graczyk, S. Summers, J. Ngadiuba, T. Q. Nguyen, J. Duarte, Z. Wu	2022	50
2	Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML DSpace@MIT (Massachusetts Institute of Technology) ·J. Ngadiuba, Vladimir Lončar, M. Pierini, S. Summers, Giuseppe Di Guglielmo, J. Duarte, Philip Harris, Dylan Rankin, S. Jindariani, Mia Liu, K. Pedro, Nhan Viet Tran, Edward Kreinar, Sheila Sagear, Z. Wu, Duc Hoang	2020	44
3	The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing. PubMed ·Linda K. Woolery, Jerzy W. Grzymala‐Busse, S. Summers, Andreas Budihardjo	1992	20
4	Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml Machine Learning Science and Technology ·Nicolò Ghielmetti, Vladimir Lončar, M. Pierini, Marcel Roed, S. Summers, T. K. Aarrestad, Christoffer Petersson, Hampus Linander, J. Ngadiuba, Kelvin Lin, Philip Harris	2022	17
5	Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml arXiv (Cornell University) ·Claudionor N. Coelho, Aki Kuusela, Hao Zhuang, T. K. Aarrestad, Vladimir Lončar, J. Ngadiuba, M. Pierini, S. Summers	2020	15
6	Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml Machine Learning Science and Technology ·E. E. Khoda, Dylan Rankin, R. Teixeira De Lima, Philip Harris, Scott Hauck, S.‐C. Hsu, M. Kagan, Vladimir Lončar, Chaitanya Paikara, Richa Rao, S. Summers, C. Vernieri, Aaron Wang	2023	8
7	Ultrafast jet classification at the HL-LHC Machine Learning Science and Technology ·Patrick Odagiu, Zhiqiang Que, J. Duarte, J. Haller, Gregor Kasieczka, A. Lobanov, Vladimir Lončar, Wayne Luk, J. Ngadiuba, M. Pierini, Philipp Rincke, Arpita Seksaria, S. Summers, A. Sznajder, A. Tapper, Thea K. Årrestad	2024	6
8	Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications J. Duarte, Song Han, Philip Harris, S. Jindariani, Edward Kreinar, B. Kreis, Vladimir Lončar, J. Ngadiuba, M. Pierini, Dylan Rankin, Ryan Rivera, S. Summers, Nhan Viet Tran, Z. Wu	2019	5
9	Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC SHILAP Revista de lepidopterología ·S. Summers, A. Rose	2019	2
10	Reconstructing jets in the Phase-2 upgrade of the CMS Level-1 Trigger with a seeded cone algorithm SHILAP Revista de lepidopterología ·S. Summers, Ioannis Bestintzanos, G. Petrucciani	2024	1
11	Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider Nature Machine Intelligence ·Ekaterina Govorkova, Ema Puljak, T. K. Aarrestad, Thomas James, Vladimir Lončar, M. Pierini, Adrian Alan Pol, Nicolò Ghielmetti, Maksymilian Graczyk, S. Summers, J. Ngadiuba, T. Q. Nguyen, J. Duarte, Z. Wu	2022	1
12	Neural Network-Based Primary Vertex Reconstruction with FPGAs for the Upgrade of the CMS Level-1 Trigger System Journal of Physics Conference Series ·Christopher Edward Brown, Aaron Bundock, M. Komm, Vladimir Lončar, M. Pierini, B. C. Radburn-Smith, A. Shtipliyski, S. Summers, J.-S. Dancu, A. Tapper	2023	1
13	Edge SpAIce: Deep Learning Deployment Pipeline for Onboard Data Reduction on Satellite FPGAs Noemi D’Abbondanza, Stylianos Tzelepis, Nicolò Ghielmetti, Ioannis Kakogeorgiou, Vanya Buchova, Κωνσταντίνος Καράντζαλος, Katerina Kikaki, Nicolas-Marcel Lemoine, M. Pierini, S. Summers, Simon Vellas, François de Vieilleville, Boyan-Nikola Zafirov	2025	1
14	Jet Single Shot Detection SHILAP Revista de lepidopterología ·Adrian Alan Pol, T. K. Aarrestad, Katya Govorkova, Roi Halily, Tal Kopetz, Anat Klempner, Vladimir Lončar, J. Ngadiuba, M. Pierini, Olya Sirkin, S. Summers	2021	1
15	A 5 gigabit/sec all-optical parallel analog-to-digital converter Eric Donkor, Patrick D. Kumavor, S. Summers, M.J. Hayduk, Rebecca J. Bussjager	2001	1

About S. Summers

S. Summers is a scholar working on Nuclear and High Energy Physics, Radiation, Hardware and Architecture, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 173 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), Nuclear reactor physics and engineering (1 paper), Semiconductor Lasers and Optical Devices (1 paper), Neural Networks and Applications (1 paper) and Satellite Communication Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (52 citations), Hardware and Architecture (19 citations), Computer Vision and Pattern Recognition (44 citations), Artificial Intelligence (63 citations) and Health Information Management (7 citations). S. Summers has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include J. Ngadiuba, M. Pierini, Vladimir Lončar, T. K. Aarrestad, Z. Wu, J. Duarte, Jerzy W. Grzymala‐Busse, Philip Harris, T. Q. Nguyen and Dylan Rankin. Their work appears in journals such as Machine Learning Science and Technology, Nature Machine Intelligence, SHILAP Revista de lepidopterología, Journal of Physics Conference Series and arXiv (Cornell University).

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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