Dinyar Rabady
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Neutrino Physics Research
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- Particle physics theoretical and experimental studies 7
- Particle Detector Development and Performance 6
- Neutrino Physics Research 2
- High-Energy Particle Collisions Research 1
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- Distributed and Parallel Computing Systems 2
- Co-authors
- Hannes Sakulin (7 shared papers)Christian Deldicque (3 shared papers)A. Rácz (2 shared papers)G. Grosso (1 shared paper)T. James (3 shared papers)Marc Dobson (3 shared papers)Sabrina Giorgetti (3 shared papers)R. Ardino (3 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (3 papers)IEEE Transactions on Nuclear Science (2 papers)Journal of Instrumentation (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandAustriaItaly
In The Last Decade
Dinyar Rabady
5 papers receiving 13 citations
Peers
Comparison fields: 5 of 9
- Nuclear and High Energy Physics 12
- Computer Networks and Communications 6
- Radiation 1
- Signal Processing 1
- Management Science and Operations Research 1
Countries citing papers authored by Dinyar Rabady
This map shows the geographic impact of Dinyar Rabady'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 Dinyar Rabady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinyar Rabady more than expected).
Fields of papers citing papers by Dinyar Rabady
This network shows the impact of papers produced by Dinyar Rabady. 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 Dinyar Rabady. The network helps show where Dinyar Rabady may publish in the future.
Co-authors
The 23 scholars most cited alongside Dinyar Rabady, 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 | 6 | |
| 2 | 2015 | 3 | |
| 3 | 2017 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2016 | 0 | |
| 7 | 2014 | 0 |
About Dinyar Rabady
Dinyar Rabady is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Mechanics of Materials, Artificial Intelligence and Infectious Diseases, having authored 7 papers that have together received 13 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (6 papers), Distributed and Parallel Computing Systems (2 papers), Muon and positron interactions and applications (2 papers), Neutrino Physics Research (2 papers), High-Energy Particle Collisions Research (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (12 citations), Computer Networks and Communications (6 citations), Radiation (1 citation), Signal Processing (1 citation) and Management Science and Operations Research (1 citation). Dinyar Rabady has collaborated with scholars based in Switzerland, Austria and Italy. Frequent co-authors include Hannes Sakulin, Christian Deldicque, A. Rácz, G. Grosso, T. James, Marc Dobson, Sabrina Giorgetti, R. Ardino, J. Lingemann and P. Zejdl. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Journal of Instrumentation and CERN Document Server (European Organization for Nuclear Research).
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.