Michael L. Katz

986 total citations · 1 hit paper
19 papers, 607 citations indexed

About

Michael L. Katz is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Michael L. Katz has authored 19 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 6 papers in Nuclear and High Energy Physics and 2 papers in Oceanography. Recurrent topics in Michael L. Katz's work include Pulsars and Gravitational Waves Research (17 papers), Astrophysical Phenomena and Observations (6 papers) and Gamma-ray bursts and supernovae (6 papers). Michael L. Katz is often cited by papers focused on Pulsars and Gravitational Waves Research (17 papers), Astrophysical Phenomena and Observations (6 papers) and Gamma-ray bursts and supernovae (6 papers). Michael L. Katz collaborates with scholars based in United States, Germany and France. Michael L. Katz's co-authors include Alvin J. K. Chua, Niels Warburton, Scott A. Hughes, Shane L. Larson, J. R. Gair, Gaurav Khanna, S. Babak, Sylvain Marsat, Alexandre Toubiana and Luke Zoltan Kelley and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

Michael L. Katz

19 papers receiving 574 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient GPU-accelerated multisource global fit pipeline for LISA data analysis

2025 26 citations Michael L. Katz, Nikolaos Karnesis et al. Physical review. D profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael L. Katz United States	13	560	129	49	41	33	19	607
Xi-Long Fan China	12	707 1.3×	129 1.0×	56 1.1×	51 1.2×	18 0.5×	59	740
V. Gayathri United States	12	638 1.1×	106 0.8×	43 0.9×	79 1.9×	14 0.4×	26	662
Stanislav Babak Germany	6	403 0.7×	123 1.0×	38 0.8×	18 0.4×	16 0.5×	7	419
H. Middleton United Kingdom	10	344 0.6×	65 0.5×	71 1.4×	36 0.9×	18 0.5×	22	368
Valeriya Korol United Kingdom	15	688 1.2×	92 0.7×	100 2.0×	37 0.9×	19 0.6×	31	719
M. J. Szczepańczyk United States	11	421 0.8×	83 0.6×	57 1.2×	85 2.1×	19 0.6×	18	437
Jim W. Barrett United Kingdom	8	733 1.3×	79 0.6×	38 0.8×	28 0.7×	19 0.6×	10	774
P. Raffai Hungary	9	385 0.7×	94 0.7×	32 0.7×	59 1.4×	24 0.7×	18	412
Yi Feng China	12	365 0.7×	90 0.7×	37 0.8×	27 0.7×	11 0.3×	42	402
D. M. Wysocki United States	12	686 1.2×	114 0.9×	35 0.7×	58 1.4×	12 0.4×	16	705

Countries citing papers authored by Michael L. Katz

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. Katz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Katz

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

All Works

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19 of 19 papers shown

Muratore, M., J. R. Gair, Olaf Hartwig, Michael L. Katz, & Alexandre Toubiana. (2025). Pipeline for searching and fitting instrumental glitches in LISA data. Physical review. D. 112(6). 2 indexed citations

Katz, Michael L., Nikolaos Karnesis, Natalia Korsakova, J. R. Gair, & Nikolaos Stergioulas. (2025). Efficient GPU-accelerated multisource global fit pipeline for LISA data analysis. Physical review. D. 111(2). 26 indexed citations breakdown →

Speri, Lorenzo, Michael L. Katz, Alvin J. K. Chua, et al.. (2024). Fast and Fourier: extreme mass ratio inspiral waveforms in the frequency domain. Frontiers in Applied Mathematics and Statistics. 9. 24 indexed citations

Korsakova, Natalia, et al.. (2024). Neural density estimation for Galactic binaries in the LISA data analysis. Physical review. D. 110(10). 7 indexed citations

Toubiana, Alexandre, Lorenzo Pompili, Alessandra Buonanno, J. R. Gair, & Michael L. Katz. (2024). Measuring source properties and quasinormal mode frequencies of heavy massive black-hole binaries with LISA. Physical review. D. 109(10). 23 indexed citations

Bellovary, Jillian, et al.. (2023). Merging black holes in dwarf galaxies: calculating binary black hole coalescence time-scales from simulations for LISA detection. Monthly Notices of the Royal Astronomical Society. 520(3). 3916–3922. 3 indexed citations

Toubiana, Alexandre, Michael L. Katz, & J. R. Gair. (2023). Is there an excess of black holes around 20 M⊙? Optimizing the complexity of population models with the use of reversible jump MCMC.. Monthly Notices of the Royal Astronomical Society. 524(4). 5844–5853. 20 indexed citations

Katz, Michael L., Camilla Danielski, Nikolaos Karnesis, et al.. (2022). Bayesian characterization of circumbinary sub-stellar objects with LISA. Monthly Notices of the Royal Astronomical Society. 517(1). 697–711. 12 indexed citations

Katz, Michael L., Jean-Baptiste Bayle, Alvin J. K. Chua, & Michele Vallisneri. (2022). Assessing the data-analysis impact of LISA orbit approximations using a GPU-accelerated response model. Physical review. D. 106(10). 30 indexed citations

10.

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

11.

Katz, Michael L., Alvin J. K. Chua, Lorenzo Speri, Niels Warburton, & Scott A. Hughes. (2021). Fast extreme-mass-ratio-inspiral waveforms: New tools for millihertz gravitational-wave data analysis. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

12.

Katz, Michael L.. (2021). A fully-automated end-to-end pipeline for massive black hole binary signal extraction from LISA data. arXiv (Cornell University). 27 indexed citations

13.

Hughes, Scott A., Niels Warburton, Gaurav Khanna, Alvin J. K. Chua, & Michael L. Katz. (2021). Adiabatic waveforms for extreme mass-ratio inspirals via multivoice decomposition in time and frequency. Physical review. D. 103(10). 95 indexed citations

14.

Chua, Alvin J. K., Michael L. Katz, Niels Warburton, & Scott A. Hughes. (2021). Rapid Generation of Fully Relativistic Extreme-Mass-Ratio-Inspiral Waveform Templates for LISA Data Analysis. Physical Review Letters. 126(5). 51102–51102. 94 indexed citations

15.

Katz, Michael L., Sylvain Marsat, Alvin J. K. Chua, S. Babak, & Shane L. Larson. (2020). GPU-accelerated massive black hole binary parameter estimation with LISA. Physical review. D. 102(2). 40 indexed citations

16.

Mangiagli, Alberto, Antoine Klein, Matteo Bonetti, et al.. (2020). Observing the inspiral of coalescing massive black hole binaries with LISA in the era of multimessenger astrophysics. Physical review. D. 102(8). 46 indexed citations

17.

Kremer, Kyle, Carl L. Rodriguez, Pau Amaro‐Seoane, et al.. (2019). Post-Newtonian dynamics in dense star clusters: Binary black holes in the LISA band. Physical review. D. 99(6). 68 indexed citations

18.

Katz, Michael L., et al.. (2019). Probing Massive Black Hole Binary Populations with LISA. Monthly Notices of the Royal Astronomical Society. 59 indexed citations

19.

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

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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