Jerry Ling
Impact in
-
- Parallel Computing and Optimization Techniques
-
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
Papers in
-
- Particle Detector Development and Performance 2
- Particle physics theoretical and experimental studies 2
- Magnetic confinement fusion research 1
-
- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- Co-authors
- T. Gal (4 shared papers)Benedikt Hegner (2 shared papers)J. Pivarski (1 shared paper)P. Gras (2 shared papers)S. Kluth (1 shared paper)O. Schulz (2 shared papers)J. Strube (1 shared paper)L. Heinrich (1 shared paper)
- Journals
- SHILAP Revista de lepidopterología (1 paper)EPJ Web of Conferences (1 paper)arXiv (Cornell University) (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jerry Ling
2 papers receiving 11 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 5
- Nuclear and High Energy Physics 5
- Software 1
- Computer Networks and Communications 6
- Numerical Analysis 1
Countries citing papers authored by Jerry Ling
This map shows the geographic impact of Jerry Ling'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 Jerry Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Ling more than expected).
Fields of papers citing papers by Jerry Ling
This network shows the impact of papers produced by Jerry Ling. 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 Jerry Ling. The network helps show where Jerry Ling may publish in the future.
Co-authors
The 17 scholars most cited alongside Jerry Ling, 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 | 2023 | 7 | |
| 2 | 2022 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 1989 | 0 |
About Jerry Ling
Jerry Ling is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Hardware and Architecture, Radiation and Artificial Intelligence, having authored 5 papers that have together received 11 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Particle Detector Development and Performance (2 papers), Distributed and Parallel Computing Systems (2 papers), Particle physics theoretical and experimental studies (2 papers), Magnetic confinement fusion research (1 paper), Computational Physics and Python Applications (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (5 citations), Nuclear and High Energy Physics (5 citations), Software (1 citation), Computer Networks and Communications (6 citations) and Numerical Analysis (1 citation). Jerry Ling has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include T. Gal, Benedikt Hegner, J. Pivarski, P. Gras, S. Kluth, O. Schulz, J. Strube, L. Heinrich, Mosé Giordano and Pere Mato. Their work appears in journals such as SHILAP Revista de lepidopterología, EPJ Web of Conferences, arXiv (Cornell University) and The Journal of Open Source Software.
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.