D. Tak
Impact in
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- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Pulsars and Gravitational Waves Research
- Cosmology and Gravitation Theories
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- Astronomy and Astrophysical Research
Papers in ⓘ
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- Gamma-ray bursts and supernovae 8
- Astrophysical Phenomena and Observations 6
- Pulsars and Gravitational Waves Research 5
- Radio Astronomy Observations and Technology 1
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- Astrophysics and Cosmic Phenomena 4
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- E. Pueschel (1 shared paper)Z. Lucas Uhm (3 shared papers)Nicholas L. Rodd (1 shared paper)Matthew Baumgart (1 shared paper)Bin‐Bin Zhang (2 shared papers)S. J. Zhu (1 shared paper)J. L. Racusin (5 shared papers)D. Kocevski (2 shared papers)
- Journals
- The Astrophysical Journal (4 papers)The Astrophysical Journal Letters (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)The Astronomical Journal (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
D. Tak
9 papers receiving 27 citations
Peers
Comparison fields: 5 of 9
- Astronomy and Astrophysics 24
- Instrumentation 5
- Nuclear and High Energy Physics 18
- Geometry and Topology 1
- Statistical and Nonlinear Physics 1
Countries citing papers authored by D. Tak
This map shows the geographic impact of D. Tak'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 D. Tak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Tak more than expected).
Fields of papers citing papers by D. Tak
This network shows the impact of papers produced by D. Tak. 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 D. Tak. The network helps show where D. Tak may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Tak, 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 | 9 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 5 | |
| 4 | 2019 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 |
About D. Tak
D. Tak is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Automotive Engineering, Otorhinolaryngology and Ocean Engineering, having authored 11 papers that have together received 29 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (8 papers), Astrophysical Phenomena and Observations (6 papers), Pulsars and Gravitational Waves Research (5 papers), Astrophysics and Cosmic Phenomena (4 papers), Dark Matter and Cosmic Phenomena (1 paper), Radio Astronomy Observations and Technology (1 paper), Traffic Prediction and Management Techniques (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Astronomy and Astrophysics (24 citations), Instrumentation (5 citations), Nuclear and High Energy Physics (18 citations), Geometry and Topology (1 citation) and Statistical and Nonlinear Physics (1 citation). D. Tak has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include E. Pueschel, Z. Lucas Uhm, Nicholas L. Rodd, Matthew Baumgart, Bin‐Bin Zhang, S. J. Zhu, J. L. Racusin, D. Kocevski, Andrew M. Taylor and M. Yassine. Their work appears in journals such as The Astrophysical Journal, The Astrophysical Journal Letters, International Journal of Radiation Oncology*Biology*Physics, The Astronomical Journal and Monthly Notices of the Royal Astronomical Society.
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.