Charles Bernando
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Quantum, superfluid, helium dynamics 5
- Cold Atom Physics and Bose-Einstein Condensates 4
- Atomic and Subatomic Physics Research 2
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- Artificial Intelligence in Healthcare 4
- Co-authors
- Andrey F. Vilesov (6 shared papers)Eka Miranda (4 shared papers)Camila Bacellar (3 shared papers)Christoph Bostedt (4 shared papers)Oliver Geßner (4 shared papers)Rico Mayro P. Tanyag (4 shared papers)Peter Walter (2 shared papers)Suko Adiarto (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Physical review. B. (2 papers)Journal of Low Temperature Physics (1 paper)The Journal of Physical Chemistry A (1 paper)Healthcare Informatics Research (1 paper)
- Partner nations
- IndonesiaUnited StatesGermany
In The Last Decade
Charles Bernando
11 papers receiving 83 citations
Peers
Comparison fields: 5 of 39
- Health Informatics 4
- Health Information Management 12
- Atomic and Molecular Physics, and Optics 59
- Management Information Systems 5
- Nuclear and High Energy Physics 6
Countries citing papers authored by Charles Bernando
This map shows the geographic impact of Charles Bernando'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 Charles Bernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Bernando more than expected).
Fields of papers citing papers by Charles Bernando
This network shows the impact of papers produced by Charles Bernando. 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 Charles Bernando. The network helps show where Charles Bernando may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles Bernando, 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 | 2017 | 23 | |
| 2 | 2020 | 22 | |
| 3 | 2023 | 9 | |
| 4 | 2020 | 8 | |
| 5 | 2018 | 5 | |
| 6 | 2019 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 0 |
About Charles Bernando
Charles Bernando is a scholar working on Atomic and Molecular Physics, and Optics, Health Information Management, Artificial Intelligence, Management Information Systems and Information Systems, having authored 13 papers that have together received 86 indexed citations. Recurring topics across this work include Quantum, superfluid, helium dynamics (5 papers), Artificial Intelligence in Healthcare (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Atomic and Subatomic Physics Research (2 papers), Imbalanced Data Classification Techniques (2 papers), Machine Learning in Healthcare (2 papers), Laser-induced spectroscopy and plasma (1 paper) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Health Informatics (4 citations), Health Information Management (12 citations), Atomic and Molecular Physics, and Optics (59 citations), Management Information Systems (5 citations) and Nuclear and High Energy Physics (6 citations). Charles Bernando has collaborated with scholars based in Indonesia, United States and Germany. Frequent co-authors include Andrey F. Vilesov, Eka Miranda, Camila Bacellar, Christoph Bostedt, Oliver Geßner, Rico Mayro P. Tanyag, Peter Walter, Suko Adiarto, Dana Indra Sensuse and T. Möller. Their work appears in journals such as Physical Review Letters, Physical review. B., Journal of Low Temperature Physics, The Journal of Physical Chemistry A and Healthcare Informatics 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.