M. Fishbach

42.6k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

M. Fishbach is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, M. Fishbach has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 4 papers in Oceanography. Recurrent topics in M. Fishbach's work include Pulsars and Gravitational Waves Research (30 papers), Gamma-ray bursts and supernovae (15 papers) and Astrophysical Phenomena and Observations (13 papers). M. Fishbach is often cited by papers focused on Pulsars and Gravitational Waves Research (30 papers), Gamma-ray bursts and supernovae (15 papers) and Astrophysical Phenomena and Observations (13 papers). M. Fishbach collaborates with scholars based in United States, Canada and United Kingdom. M. Fishbach's co-authors include D. E. Holz, Hsin-Yu Chen, Will M. Farr, Vicky Kalogera, R. C. Essick, David N. Spergel, Kris Pardo, Macarena Lagos, Philippe Landry and A. M. Farah and has published in prestigious journals such as Nature, Science and The Astrophysical Journal.

In The Last Decade

M. Fishbach

31 papers receiving 1.1k citations

Hit Papers

A two per cent Hubble constant measurement from standard ... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Fishbach United States 17 1.2k 287 92 58 42 33 1.3k
S. Mastrogiovanni Italy 16 809 0.7× 226 0.8× 125 1.4× 67 1.2× 61 1.5× 37 846
Hsin-Yu Chen United States 14 1.1k 0.9× 225 0.8× 93 1.0× 49 0.8× 62 1.5× 26 1.1k
C. James Australia 19 1.3k 1.0× 510 1.8× 64 0.7× 35 0.6× 39 0.9× 86 1.4k
Chiara M. F. Mingarelli United States 15 840 0.7× 255 0.9× 170 1.8× 64 1.1× 39 0.9× 28 870
P. A. Rosado Australia 10 787 0.6× 266 0.9× 136 1.5× 50 0.9× 43 1.0× 11 813
Ken K. Y. Ng United States 13 828 0.7× 239 0.8× 57 0.6× 55 0.9× 36 0.9× 19 862
Mauro Pieroni Switzerland 18 908 0.7× 436 1.5× 172 1.9× 29 0.5× 24 0.6× 34 980
Stanislav Babak Germany 9 1.1k 0.9× 368 1.3× 107 1.2× 59 1.0× 63 1.5× 11 1.1k
Michele Mancarella Switzerland 13 666 0.5× 303 1.1× 84 0.9× 25 0.4× 14 0.3× 27 689
L. Guillemot France 16 598 0.5× 257 0.9× 86 0.9× 49 0.8× 57 1.4× 54 647

Countries citing papers authored by M. Fishbach

Since Specialization
Citations

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

Fields of papers citing papers by M. Fishbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fishbach

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fishbach. A scholar is included among the top collaborators of M. Fishbach 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 M. Fishbach. M. Fishbach 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.
Ye, Claire S., M. Fishbach, Kyle Kremer, & Marta Reina-Campos. (2026). Mass Distribution of Binary Black Hole Mergers from Young and Old Dense Star Clusters. The Astrophysical Journal. 997(2). 267–267.
2.
Ye, Claire S., et al.. (2025). Gravitational-wave Kicks Impact the Spins of Black Holes from Hierarchical Mergers. The Astrophysical Journal. 987(2). 146–146. 7 indexed citations
3.
Ye, Claire S., et al.. (2025). Predicting the Rate of Fast Radio Bursts in Globular Clusters from Binary Black Hole Observations. The Astrophysical Journal Letters. 979(1). L12–L12. 2 indexed citations
4.
Fishbach, M.. (2025). Probing cosmic chemical enrichment with next-generation gravitational-wave observatories. Classical and Quantum Gravity. 42(5). 55009–55009. 3 indexed citations
5.
Vijaykumar, A., et al.. (2025). Gravitational-wave Dark Siren Cosmology Systematics from Galaxy Weighting. The Astrophysical Journal. 979(1). 9–9. 8 indexed citations
6.
Clarke, Teagan A., P. D. Lasky, E. Thrane, et al.. (2025). Transdimensional Inference for Gravitational-wave Astronomy with Bilby. The Astrophysical Journal Supplement Series. 276(2). 50–50. 1 indexed citations
7.
Fishbach, M.. (2024). Mystery in the “mass gap”. Science. 383(6680). 259–260. 2 indexed citations
8.
Fishbach, M., et al.. (2024). The Mass Density of Merging Binary Black Holes over Cosmic Time. The Astrophysical Journal. 970(2). 128–128. 8 indexed citations
9.
Essick, R. C. & M. Fishbach. (2024). Ensuring Consistency between Noise and Detection in Hierarchical Bayesian Inference. The Astrophysical Journal. 962(2). 169–169. 27 indexed citations
10.
Vijaykumar, A., M. Fishbach, Susmita Adhikari, & D. E. Holz. (2024). Inferring Host-galaxy Properties of LIGO–Virgo–KAGRA’s Black Holes. The Astrophysical Journal. 972(2). 157–157. 10 indexed citations
11.
Fishbach, M. & Giacomo Fragione. (2023). Globular cluster formation histories, masses, and radii inferred from gravitational waves. Monthly Notices of the Royal Astronomical Society. 522(4). 5546–5557. 19 indexed citations
12.
Fishbach, M. & L. A. C. van Son. (2023). LIGO–Virgo–KAGRA's Oldest Black Holes: Probing Star Formation at Cosmic Noon With GWTC-3. The Astrophysical Journal Letters. 957(2). L31–L31. 11 indexed citations
13.
Fishbach, M., et al.. (2023). The Role of Natal Kicks in Forming Asymmetric Compact Binary Mergers. The Astrophysical Journal. 953(2). 152–152. 6 indexed citations
14.
Farah, A. M., B. Edelman, M. Zevin, et al.. (2023). Things That Might Go Bump in the Night: Assessing Structure in the Binary Black Hole Mass Spectrum. The Astrophysical Journal. 955(2). 107–107. 36 indexed citations
15.
Bavera, Simone S., M. Fishbach, M. Zevin, Emmanouil Zapartas, & Tassos Fragos. (2022). The χeff − z correlation of field binary black hole mergers and how 3G gravitational-wave detectors can constrain it. Astronomy and Astrophysics. 665. A59–A59. 26 indexed citations
16.
Essick, R. C., A. M. Farah, S. Galaudage, et al.. (2022). Probing Extremal Gravitational-wave Events with Coarse-grained Likelihoods. The Astrophysical Journal. 926(1). 34–34. 20 indexed citations
17.
Fishbach, M., et al.. (2022). Inferring the Neutron Star Maximum Mass and Lower Mass Gap in Neutron Star–Black Hole Systems with Spin. The Astrophysical Journal. 937(2). 73–73. 22 indexed citations
18.
Gray, R., I. Magaña Hernandez, H. Qi, et al.. (2020). Cosmological inference using gravitational wave standard sirens: A mock data analysis. Physical review. D. 101(12). 122 indexed citations
19.
Pardo, Kris, M. Fishbach, D. E. Holz, & David N. Spergel. (2018). Limits on the number of spacetime dimensions from GW170817. Journal of Cosmology and Astroparticle Physics. 2018(7). 48–48. 69 indexed citations
20.
Chen, Hsin-Yu, M. Fishbach, & D. E. Holz. (2017). Precision Standard Siren Cosmology. Bulletin of the American Physical Society. 2018. 10 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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