D. Tak

3.3k total citations
11 papers, 29 citations indexed

About

D. Tak is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Automotive Engineering. According to data from OpenAlex, D. Tak has authored 11 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 1 paper in Automotive Engineering. Recurrent topics in D. Tak's work include Gamma-ray bursts and supernovae (8 papers), Astrophysical Phenomena and Observations (6 papers) and Pulsars and Gravitational Waves Research (5 papers). D. Tak is often cited by papers focused on Gamma-ray bursts and supernovae (8 papers), Astrophysical Phenomena and Observations (6 papers) and Pulsars and Gravitational Waves Research (5 papers). D. Tak collaborates with scholars based in United States, Germany and South Korea. D. Tak's co-authors include Z. Lucas Uhm, Matthew Baumgart, Nicholas L. Rodd, E. Pueschel, Andrew M. Taylor, S. J. Zhu, J. L. Racusin, M. Yassine, Julie McEnery and D. Kocevski and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

D. Tak

9 papers receiving 27 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. Tak United States	4	24	18	5	1	1	11	29
Ivan Kramarenko Switzerland	4	22 0.9×	17 0.9×	4 0.8×			5	29
Gokul P. Srinivasaragavan Japan	2	31 1.3×	17 0.9×	5 1.0×			2	31
J. Elvin-Poole United Kingdom	4	23 1.0×	14 0.8×	4 0.8×		1 1.0×	5	34
C. Mancuso Italy	2	26 1.1×	14 0.8×	4 0.8×			2	26
Rohan Dahale Spain	3	30 1.3×	23 1.3×	5 1.0×			5	35
S. Brennan Ireland	3	27 1.1×	13 0.7×	3 0.6×			8	30
Y. Sharma United States	4	43 1.8×	19 1.1×	5 1.0×			17	49
J. Ziemke Netherlands	3	19 0.8×	15 0.8×	5 1.0×		2 2.0×	4	22
David Joseph Guevel United States	3	42 1.8×	13 0.7×	5 1.0×			5	46
Pedro da Silveira Ferreira Brazil	4	39 1.6×	16 0.9×	3 0.6×		1 1.0×	4	41

Countries citing papers authored by D. Tak

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D. Tak

This figure shows the co-authorship network connecting the top 25 collaborators of D. Tak. A scholar is included among the top collaborators of D. Tak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Tak. D. Tak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Ye, Zhaoxiang, Frank Hoebers, Yong Zha, et al.. (2024). Development and Validation of a Deep Learning System with Tumor- and Patient-Centric Imaging Analysis to Improve Risk-Stratification in Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). e804–e805.

Lim, Jae‐Han, Katsuhiro Naito, D. Tak, & Yeon-sup Lim. (2024). Cooperative Trajectory Prediction Using IVC and Accuracy-Aware Attention with Inaccurate GPS Data. 394–402.

Tak, D., Bing Zhang, J. L. Racusin, et al.. (2024). Evidence of High-latitude Emission in the Prompt Phase of GRBs: How Far from the Central Engine are the GRBs Produced?. The Astrophysical Journal Letters. 963(1). L30–L30. 1 indexed citations

Tak, D., Myungshin Im, M. Arimoto, et al.. (2024). Multiwavelength Afterglow Analysis of GRB 221009A: Unveiling the Evolution of a Cooling Break in a Wind-like Medium. The Astrophysical Journal. 978(1). 29–29. 1 indexed citations

Tak, D., Z. Lucas Uhm, J. L. Racusin, et al.. (2023). Temporal and Spectral Evolution of Gamma-Ray Burst Broad Pulses: Identification of High-latitude Emission in the Prompt Emission. The Astrophysical Journal. 949(2). 110–110. 5 indexed citations

Tak, D., Z. Lucas Uhm, & J. H. Gillanders. (2023). Exploring the Impact of the Ejecta Velocity Profile on the Evolution of Kilonova: Diversity of the Kilonova Lightcurves. The Astrophysical Journal. 958(2). 121–121. 2 indexed citations

Tak, D., et al.. (2023). Probing the multiwavelength emission scenario of GRB 190114C. Monthly Notices of the Royal Astronomical Society. 520(1). 839–849. 5 indexed citations

Tak, D., Matthew Baumgart, Nicholas L. Rodd, & E. Pueschel. (2022). Current and Future γ-Ray Searches for Dark Matter Annihilation Beyond the Unitarity Limit. The Astrophysical Journal Letters. 938(1). L4–L4. 9 indexed citations

Martinez-Castellanos, Israel, L. P. Singer, Eric Burns, et al.. (2022). Multiresolution HEALPix Maps for Multiwavelength and Multimessenger Astronomy. The Astronomical Journal. 163(6). 259–259. 2 indexed citations

10.

Martinez-Castellanos, Israel, Henrike Fleischhack, Christopher M. Karwin, et al.. (2021). Improving the low-energy transient sensitivity of AMEGO-X using single-site events. arXiv (Cornell University). 1 indexed citations

11.

Tak, D., S. Guiriec, Z. Lucas Uhm, et al.. (2019). Multiple Components in the Broadband γ-Ray Emission of the Short GRB 160709A. The Astrophysical Journal. 876(1). 76–76. 3 indexed citations

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.

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