Daniel George

2.8k total citations
8 papers, 533 citations indexed

About

Daniel George is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Daniel George has authored 8 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 2 papers in Atmospheric Science and 1 paper in Computer Networks and Communications. Recurrent topics in Daniel George's work include Pulsars and Gravitational Waves Research (6 papers), Astrophysical Phenomena and Observations (2 papers) and Gamma-ray bursts and supernovae (2 papers). Daniel George is often cited by papers focused on Pulsars and Gravitational Waves Research (6 papers), Astrophysical Phenomena and Observations (2 papers) and Gamma-ray bursts and supernovae (2 papers). Daniel George collaborates with scholars based in United States and United Kingdom. Daniel George's co-authors include E. A. Huerta, Hongyu Shen, Daniel Ezra Johnson, Roland Haas, Sibo Wang, Zhizhen Zhao, N. Cappelluti, W. E. Fry, Timothy R. Smith and Steinn Sigurðsson and has published in prestigious journals such as Physics Letters B, Physical review. D and Nature Astronomy.

In The Last Decade

Daniel George

7 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel George United States	5	416	145	120	45	41	8	533
Shravan Hanasoge United States	18	662 1.6×	202 1.4×	239 2.0×	120 2.7×	26 0.6×	72	1.0k
Giovanni F. Gronchi Italy	16	726 1.7×	141 1.0×	43 0.4×	53 1.2×	50 1.2×	53	975
Lindy Blackburn United States	11	441 1.1×	58 0.4×	73 0.6×	46 1.0×	182 4.4×	33	508
C. Monstein Switzerland	16	874 2.1×	101 0.7×	107 0.9×	29 0.6×	97 2.4×	110	1.0k
G. Woan United Kingdom	14	512 1.2×	55 0.4×	100 0.8×	126 2.8×	72 1.8×	45	600
F. Acernese Italy	14	514 1.2×	145 1.0×	301 2.5×	88 2.0×	125 3.0×	89	866
Giacomo Tommei Italy	15	615 1.5×	82 0.6×	45 0.4×	131 2.9×	23 0.6×	47	743
Archana Pai India	11	268 0.6×	35 0.2×	72 0.6×	33 0.7×	31 0.8×	35	360
T. Sekii Japan	13	623 1.5×	63 0.4×	45 0.4×	70 1.6×	11 0.3×	46	746
Nikolaos Karnesis Greece	15	595 1.4×	67 0.5×	37 0.3×	149 3.3×	124 3.0×	35	688

Countries citing papers authored by Daniel George

Since Specialization

Citations

This map shows the geographic impact of Daniel George'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 Daniel George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel George more than expected).

Fields of papers citing papers by Daniel George

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel George. 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 Daniel George. The network helps show where Daniel George may publish in the future.

Co-authorship network of co-authors of Daniel George

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel George. A scholar is included among the top collaborators of Daniel George 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 Daniel George. Daniel George is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Natarajan, Priyamvada, Sadegh Khochfar, B. Nord, et al.. (2023). Introducing QUOTAS as a new research platform for the data-driven discovery of supermassive black holes. Nature Astronomy. 7(8). 879–881. 1 indexed citations

2.

Huerta, E. A., et al.. (2019). Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. Physical review. D. 100(4). 25 indexed citations

3.

Shen, Hongyu, Daniel George, & E. A. Huerta. (2018). Glitch Classification and Clustering for LIGO with Deep Transfer Learning.. Bulletin of the American Physical Society. 2018. 3 indexed citations

4.

George, Daniel, Hongyu Shen, & E. A. Huerta. (2018). Classification and unsupervised clustering of LIGO data with Deep Transfer Learning. Physical review. D. 97(10). 98 indexed citations

5.

George, Daniel & E. A. Huerta. (2018). Deep neural networks to enable real-time multimessenger astrophysics. Physical review. D. 97(4). 173 indexed citations

6.

Shen, Hongyu, Daniel George, E. A. Huerta, & Zhizhen Zhao. (2017). Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. arXiv (Cornell University). 2018. 12 indexed citations

7.

George, Daniel & E. A. Huerta. (2017). Deep Learning for real-time gravitational wave detection and parameter estimation: Results with Advanced LIGO data. Physics Letters B. 778. 64–70. 217 indexed citations

8.

Fry, W. E., et al.. (2016). Leveraging the Past to Prepare for the Future of Air Force Intelligence Analysis. RAND Corporation eBooks. 4 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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