Jonathan Timcheck
Impact in
- Information Systems top 10%
- Software Engineering Research
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- Particle physics theoretical and experimental studies
Papers in
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- Advanced Memory and Neural Computing 8
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- Parallel Computing and Optimization Techniques 2
- Embedded Systems Design Techniques 1
- Co-authors
- Neel Sundaresan (1 shared paper)Colin B. Clement (1 shared paper)Dawn Drain (1 shared paper)A. Svyatkovskiy (1 shared paper)Mike Davies (2 shared papers)Sumit Bam Shrestha (3 shared papers)Kwabena A. Boahen (1 shared paper)Jonathan Kadmon (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of High Energy Physics (1 paper)PLoS Computational Biology (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)International Conference on Neuromorphic Systems (ICONS) (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jonathan Timcheck
10 papers receiving 279 citations
Peers
Comparison fields: 5 of 31
- Information Systems 72
- Nuclear and High Energy Physics 45
- Electrical and Electronic Engineering 117
- Software 9
- Hardware and Architecture 10
Countries citing papers authored by Jonathan Timcheck
This map shows the geographic impact of Jonathan Timcheck'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 Jonathan Timcheck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Timcheck more than expected).
Fields of papers citing papers by Jonathan Timcheck
This network shows the impact of papers produced by Jonathan Timcheck. 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 Jonathan Timcheck. The network helps show where Jonathan Timcheck may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Timcheck, 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 | 2020 | 91 | |
| 2 | 2013 | 47 | |
| 3 | 2022 | 44 | |
| 4 | 2025 | 38 | |
| 5 | 2023 | 25 | |
| 6 | 2024 | 25 | |
| 7 | 2022 | 19 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 0 |
About Jonathan Timcheck
Jonathan Timcheck is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Signal Processing, Nuclear and High Energy Physics and Cognitive Neuroscience, having authored 11 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Parallel Computing and Optimization Techniques (2 papers), Speech and Audio Processing (1 paper), Particle physics theoretical and experimental studies (1 paper), Software Engineering Research (1 paper), Neural dynamics and brain function (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Information Systems (72 citations), Nuclear and High Energy Physics (45 citations), Electrical and Electronic Engineering (117 citations), Software (9 citations) and Hardware and Architecture (10 citations). Jonathan Timcheck has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Neel Sundaresan, Colin B. Clement, Dawn Drain, A. Svyatkovskiy, Mike Davies, Sumit Bam Shrestha, Kwabena A. Boahen, Jonathan Kadmon, Surya Ganguli and Pritish Narayanan. Their work appears in journals such as Nature Communications, Journal of High Energy Physics, PLoS Computational Biology, IEEE International Conference on Acoustics Speech and Signal Processing and International Conference on Neuromorphic Systems (ICONS).
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.