Shane L. Larson

11.7k total citations
63 papers, 1.9k citations indexed

About

Shane L. Larson is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Shane L. Larson has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 11 papers in Nuclear and High Energy Physics and 8 papers in Oceanography. Recurrent topics in Shane L. Larson's work include Pulsars and Gravitational Waves Research (41 papers), Gamma-ray bursts and supernovae (18 papers) and Radio Astronomy Observations and Technology (17 papers). Shane L. Larson is often cited by papers focused on Pulsars and Gravitational Waves Research (41 papers), Gamma-ray bursts and supernovae (18 papers) and Radio Astronomy Observations and Technology (17 papers). Shane L. Larson collaborates with scholars based in United States, Germany and United Kingdom. Shane L. Larson's co-authors include William A. Hiscock, Neil J. Cornish, Massimo Tinto, Ronald W. Hellings, Thomas A. Prince, J. W. Armstrong, Curt Cutler, Michael L. Katz, J. R. Gair and Michele Vallisneri and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Shane L. Larson

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shane L. Larson United States	25	1.6k	367	237	220	113	63	1.9k
R. J. E. Smith Australia	22	1.3k 0.8×	318 0.9×	102 0.4×	204 0.9×	220 1.9×	57	1.7k
T. B. Littenberg United States	25	1.8k 1.1×	233 0.6×	110 0.5×	388 1.8×	419 3.7×	53	1.9k
M. J. Keith United Kingdom	29	2.6k 1.6×	665 1.8×	264 1.1×	527 2.4×	301 2.7×	101	2.7k
A. W. Hotan Australia	21	1.5k 0.9×	431 1.2×	203 0.9×	322 1.5×	159 1.4×	55	1.6k
F. Crawford United States	24	2.8k 1.7×	1.0k 2.9×	164 0.7×	379 1.7×	263 2.3×	68	3.1k
J. F. Bell Australia	20	1.4k 0.8×	425 1.2×	105 0.4×	283 1.3×	145 1.3×	30	1.4k
Michael J. Mortonson United States	18	1.7k 1.0×	656 1.8×	171 0.7×	97 0.4×	40 0.4×	25	1.8k
S. Khan United Kingdom	15	2.4k 1.4×	400 1.1×	101 0.4×	384 1.7×	478 4.2×	20	2.6k
Stephen R. Taylor United States	23	1.4k 0.8×	237 0.6×	97 0.4×	318 1.4×	109 1.0×	49	1.5k
J. L. Ballester Spain	39	4.0k 2.4×	286 0.8×	127 0.5×	389 1.8×	92 0.8×	169	4.2k

Countries citing papers authored by Shane L. Larson

Since Specialization

Citations

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

Fields of papers citing papers by Shane L. Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane L. Larson. 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 Shane L. Larson. The network helps show where Shane L. Larson may publish in the future.

Co-authorship network of co-authors of Shane L. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Shane L. Larson. A scholar is included among the top collaborators of Shane L. Larson 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 Shane L. Larson. Shane L. Larson 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:

20 of 20 papers shown

Bolen, B., et al.. (2024). Understanding exotic black hole orbits using effective potentials. American Journal of Physics. 92(9). 686–692.

Larson, Shane L., et al.. (2024). Simulating the Galactic population of axion clouds around stellar-origin black holes: Gravitational wave signals in the 10–100 kHz band. Physical review. D. 110(12). 1 indexed citations

Aggarwal, N., M. Teo, Masha Baryakhtar, et al.. (2022). Searching for New Physics with a Levitated-Sensor-Based Gravitational-Wave Detector. Physical Review Letters. 128(11). 111101–111101. 69 indexed citations

Katz, Michael L., Olivia R. Cooper, M. W. Coughlin, et al.. (2021). GPU-accelerated periodic source identification in large-scale surveys: measuring P and P. Monthly Notices of the Royal Astronomical Society. 503(2). 2665–2675. 4 indexed citations

Piotrzkowski, B. J., et al.. (2020). Modeling spurious forces on the LISA spacecraft across a full solar cycle. Classical and Quantum Gravity. 37(17). 175007–175007. 7 indexed citations

Cutler, Curt, Emanuele Berti, Kelly Holley‐Bockelmann, et al.. (2019). What can we learn from multi-band observations of black hole binaries?. arXiv (Cornell University). 51(3). 109. 4 indexed citations

Kremer, Kyle, Sourav Chatterjee, Katelyn Breivik, et al.. (2018). LISA Sources in Milky Way Globular Clusters. Physical Review Letters. 120(19). 191103–191103. 45 indexed citations

Katz, Michael L. & Shane L. Larson. (2018). Evaluating black hole detectability with LISA. Monthly Notices of the Royal Astronomical Society. 483(3). 3108–3118. 23 indexed citations

Larson, Shane L., et al.. (2018). U.S. Army Platoon Gets Struck by Lightning, A Case Series. Current Sports Medicine Reports. 17(4). 126–128. 1 indexed citations

10.

Zevin, M., Scott Coughlin, Sara Bahaadini, et al.. (2017). Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science. Classical and Quantum Gravity. 34(6). 64003–64003. 185 indexed citations

11.

Chou, A., R. Gustafson, Craig J. Hogan, et al.. (2017). MHz gravitational wave constraints with decameter Michelson interferometers. Physical review. D. 95(6). 45 indexed citations

12.

Oh, Robert, et al.. (2015). Exertional Rhabdomyolysis: A Case Series of 30 Hospitalized Patients. Military Medicine. 180(2). 201–207. 26 indexed citations

13.

Belz, John, C. Allen, E. Barcikowski, et al.. (2013). TARA: Forward-scattered radar detection of UHECR at the telescope array. SHILAP Revista de lepidopterología. 53. 8012–8012. 3 indexed citations

14.

Arnaud, Keith A., Stanislav Babak, John G. Baker, et al.. (2006). An Overview of the Mock LISA Data Challenges. AIP conference proceedings. 873. 619–624. 30 indexed citations

15.

Finn, L. S., Matthew Benacquista, Shane L. Larson, & Louis J. Rubbo. (2006). Preparing for LISA Data: The Testbed for LISA Analysis Project. AIP conference proceedings. 873. 640–644. 1 indexed citations

16.

Larson, Shane L. & L. S. Finn. (2006). The resolving power of LISA: comparing techniques for binary analysis. AIP conference proceedings. 873. 415–421.

17.

Rubbo, Louis J., et al.. (2006). Gravitational Waves: New Observatories for New Astronomy. The Physics Teacher. 44(7). 420–423. 3 indexed citations

18.

Gair, J. R., et al.. (2005). Semi-relativistic approximation to gravitational radiation from encounters with black holes. arXiv (Cornell University). 1 indexed citations

19.

Hiscock, William A., et al.. (1999). Null geodesics in the Alcubierre warp-drive spacetime: the view from the bridge. Classical and Quantum Gravity. 16(12). 3965–3972. 28 indexed citations

20.

Hiscock, William A., Shane L. Larson, & Paul R. Anderson. (1997). Semiclassical effects in black hole interiors. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 56(6). 3571–3581. 38 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.

Explore authors with similar magnitude of impact