E. E. Khoda
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
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- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
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- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 3
- High-Energy Particle Collisions Research 2
- Quantum Chromodynamics and Particle Interactions 1
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- Cosmology and Gravitation Theories 1
- Co-authors
- R. Teixeira De Lima (1 shared paper)S. Summers (1 shared paper)Scott Hauck (2 shared papers)S.‐C. Hsu (4 shared papers)Vladimir Lončar (2 shared papers)Dylan Rankin (1 shared paper)C. Vernieri (1 shared paper)M. Kagan (1 shared paper)
- Journals
- Journal of Instrumentation (1 paper)Physical review. D (1 paper)Machine Learning Science and Technology (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
E. E. Khoda
2 papers receiving 9 citations
Peers
Comparison fields: 5 of 14
- Nuclear and High Energy Physics 4
- Hardware and Architecture 2
- Transportation 1
- Radiation 1
- Industrial and Manufacturing Engineering 1
Countries citing papers authored by E. E. Khoda
This map shows the geographic impact of E. E. Khoda'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 E. E. Khoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. E. Khoda more than expected).
Fields of papers citing papers by E. E. Khoda
This network shows the impact of papers produced by E. E. Khoda. 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 E. E. Khoda. The network helps show where E. E. Khoda may publish in the future.
Co-authors
The 24 scholars most cited alongside E. E. Khoda, 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 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2019 | 0 |
About E. E. Khoda
E. E. Khoda is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Radiation, Artificial Intelligence and Aerospace Engineering, having authored 5 papers that have together received 9 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (3 papers), High-Energy Particle Collisions Research (2 papers), Cosmology and Gravitation Theories (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Radiation Detection and Scintillator Technologies (1 paper), Computational Physics and Python Applications (1 paper) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Hardware and Architecture (2 citations), Transportation (1 citation), Radiation (1 citation) and Industrial and Manufacturing Engineering (1 citation). E. E. Khoda has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include R. Teixeira De Lima, S. Summers, Scott Hauck, S.‐C. Hsu, Vladimir Lončar, Dylan Rankin, C. Vernieri, M. Kagan, Philip Harris and Ryan G. Parsons. Their work appears in journals such as Journal of Instrumentation, Physical review. D, Machine Learning Science and Technology, CERN Document Server (European Organization for Nuclear Research) and UCL Discovery (University College London).
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.