Jeffrey D. Scargle

2.7k total citations
60 papers, 1.3k citations indexed

About

Jeffrey D. Scargle is a scholar working on Astronomy and Astrophysics, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jeffrey D. Scargle has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Jeffrey D. Scargle's work include Stellar, planetary, and galactic studies (12 papers), Solar and Space Plasma Dynamics (9 papers) and Pulsars and Gravitational Waves Research (6 papers). Jeffrey D. Scargle is often cited by papers focused on Stellar, planetary, and galactic studies (12 papers), Solar and Space Plasma Dynamics (9 papers) and Pulsars and Gravitational Waves Research (6 papers). Jeffrey D. Scargle collaborates with scholars based in United States, Italy and France. Jeffrey D. Scargle's co-authors include M. J. Way, J. P. Norris, N. Gehrels, Kamal Ali, Ashok N. Srivastava, Ashley T. Barnes, L. J. Caroff, Peter D. Noerdlinger, James N. Imamura and T. Y. Steiman-Cameron and has published in prestigious journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Jeffrey D. Scargle

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey D. Scargle United States 20 742 247 116 88 83 60 1.3k
Jake Vanderplas United States 14 981 1.3× 194 0.8× 184 1.6× 78 0.9× 42 0.5× 23 1.7k
A. Bijaoui France 19 507 0.7× 70 0.3× 108 0.9× 37 0.4× 48 0.6× 80 1.7k
G. Crew United States 20 1.6k 2.1× 273 1.1× 310 2.7× 212 2.4× 32 0.4× 53 2.1k
M. P. Hobson United Kingdom 20 688 0.9× 512 2.1× 120 1.0× 31 0.4× 112 1.3× 41 1.5k
Luis Tenorio United States 19 521 0.7× 230 0.9× 141 1.2× 42 0.5× 101 1.2× 61 1.6k
J. G. Ables Australia 13 848 1.1× 520 2.1× 106 0.9× 20 0.2× 75 0.9× 35 1.5k
Alfred Hanssen Norway 16 218 0.3× 93 0.4× 98 0.8× 69 0.8× 48 0.6× 71 931
Paul F. Fougère United States 19 692 0.9× 65 0.3× 77 0.7× 96 1.1× 71 0.9× 41 1.2k
L. Milano Italy 19 455 0.6× 85 0.3× 90 0.8× 29 0.3× 105 1.3× 146 1.2k
Yann Brenier France 27 321 0.4× 132 0.5× 95 0.8× 46 0.5× 397 4.8× 68 3.8k

Countries citing papers authored by Jeffrey D. Scargle

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Scargle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Scargle. 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 Jeffrey D. Scargle. The network helps show where Jeffrey D. Scargle may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Scargle

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

All Works

20 of 20 papers shown
1.
Way, M. J., Richard E. Ernst, & Jeffrey D. Scargle. (2022). Large-scale Volcanism and the Heat Death of Terrestrial Worlds. The Planetary Science Journal. 3(4). 92–92. 14 indexed citations
2.
Loredo, Thomas J. & Jeffrey D. Scargle. (2019). Time series exploration in Python and MATLAB: Unevenly sampled data, parametric modeling, and periodograms.
3.
Kashyap, V., et al.. (2014). Tanagra: Timing Analysis of Grating Data. 14. 1 indexed citations
4.
Way, M. J., P. R. Gazis, & Jeffrey D. Scargle. (2010). STRUCTURE IN THE THREE-DIMENSIONAL GALAXY DISTRIBUTION. I. METHODS AND EXAMPLE RESULTS. The Astrophysical Journal. 727(1). 48–48. 19 indexed citations
5.
Dobigeon, Nicolas, Jean‐Yves Tourneret, & Jeffrey D. Scargle. (2007). Joint segmentation of multivariate astronomical time series : \n bayesian sampling with a hierarchical model. Open Archive Toulouse Archive Ouverte (University of Toulouse). 33 indexed citations
6.
Conrad, Jan, Jeffrey D. Scargle, & T. Ylinen. (2007). Statistical analysis of detection of, and upper limits on, dark matter lines. AIP conference proceedings. 921. 586–587. 2 indexed citations
7.
Scargle, Jeffrey D.. (2004). An Introduction to the Theory of Point Processes, Vol. I: Elementary Theory and Methods. Technometrics. 46(2). 257–257. 82 indexed citations
8.
Bloom, E. D., W. B. Focke, B. Giebels, et al.. (2003). X‐Ray Bursts in Neutron Star and Black Hole Binaries from Unconventional Stellar Aspect Experiment andRossi X‐Ray Timing ExplorerData: Detections and Upper Limits. The Astrophysical Journal. 595(2). 1058–1065. 7 indexed citations
9.
Marcy, Geoffrey W., S. Frink, Debra A. Fischer, et al.. (2002). Discovery of Planetary Systems With SIM. NASA Technical Reports Server (NASA). 3. 2 indexed citations
10.
Galleani, Lorenzo, Leon Cohen, Douglas J. Nelson, & Jeffrey D. Scargle. (2001). <title>Estimating the instantaneous power spectrum of an x-ray binary system</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4477. 123–130. 2 indexed citations
11.
Colombano, Silvano P., et al.. (1999). Spatial Autocatalytic Dynamics: An Approach to Modeling Prebiotic Evolution. Physical Review B. 59(4). 1 indexed citations
12.
Scargle, Jeffrey D.. (1997). Wavelet methods in astronomical time series analysis. 226. 11 indexed citations
13.
Steiman-Cameron, T. Y., Karl Young, Jeffrey D. Scargle, et al.. (1994). Dripping handrails and the quasi-periodic oscillations of the AM Herculis objects. The Astrophysical Journal. 435. 775–775. 2 indexed citations
14.
Scargle, Jeffrey D., T. Y. Steiman-Cameron, Karl Young, et al.. (1993). The quasi-periodic oscillations and very low frequency noise of Scorpius X-1 as transient chaos - A dripping handrail?. The Astrophysical Journal. 411. L91–L91. 49 indexed citations
15.
16.
Scargle, Jeffrey D.. (1989). An introduction to chaotic and random time series analysis. International Journal of Imaging Systems and Technology. 1(2). 243–253. 10 indexed citations
17.
Scargle, Jeffrey D., L. J. Caroff, & Peter D. Noerdlinger. (1970). ON the Expanding Envelopes of the Quasi-Stellar Objects PHL 5200 and RS 23. The Astrophysical Journal. 161. L115–L115. 23 indexed citations
18.
Scargle, Jeffrey D. & E. A. Harlan. (1970). Activity in the Crab Nebula following the Pulsar Spin-up of 1969 September. The Astrophysical Journal. 160. L193–L193. 1 indexed citations
19.
Wampler, E. J., Jeffrey D. Scargle, & Joseph S. Miller. (1969). Optical Observations of the Crab Nebula Pulsar. The Astrophysical Journal. 157. L1–L1. 28 indexed citations
20.
Scargle, Jeffrey D.. (1968). On Relativistic Magnetohydrodynamics. The Astrophysical Journal. 151. 791–791. 18 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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