S. Babak

71.9k total citations · 3 hit papers
37 papers, 2.0k citations indexed

About

S. Babak is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, S. Babak has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 8 papers in Oceanography. Recurrent topics in S. Babak's work include Pulsars and Gravitational Waves Research (31 papers), Astrophysical Phenomena and Observations (12 papers) and Gamma-ray bursts and supernovae (12 papers). S. Babak is often cited by papers focused on Pulsars and Gravitational Waves Research (31 papers), Astrophysical Phenomena and Observations (12 papers) and Gamma-ray bursts and supernovae (12 papers). S. Babak collaborates with scholars based in France, Germany and United States. S. Babak's co-authors include J. R. Gair, Alessandra Buonanno, Andrea Taracchini, Curt Cutler, Ilya Mandel, M. Coleman Miller, Marc Freitag, Pau Amaro‐Seoane, Sylvain Marsat and L. P. Grishchuk 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

S. Babak

37 papers receiving 1.9k citations

Hit Papers

Improved effective-one-body model of spi... 2007 2026 2013 2019 2017 2007 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Babak France 20 1.9k 482 221 220 110 37 2.0k
Antoine Klein United States 29 2.6k 1.3× 857 1.8× 223 1.0× 252 1.1× 110 1.0× 48 2.7k
C. P. L. Berry United Kingdom 24 2.4k 1.2× 686 1.4× 177 0.8× 211 1.0× 129 1.2× 48 2.5k
Davide Gerosa United Kingdom 33 2.8k 1.5× 597 1.2× 270 1.2× 153 0.7× 67 0.6× 98 2.9k
Shubhanshu Tiwari Switzerland 15 1.5k 0.8× 319 0.7× 291 1.3× 180 0.8× 101 0.9× 31 1.6k
C.‐J. Haster United States 24 1.8k 1.0× 271 0.6× 295 1.3× 237 1.1× 83 0.8× 39 1.9k
S. Nissanke Netherlands 25 2.2k 1.1× 596 1.2× 236 1.1× 256 1.2× 142 1.3× 43 2.3k
V. Raymond United Kingdom 23 2.0k 1.0× 322 0.7× 430 1.9× 385 1.8× 96 0.9× 35 2.0k
I. S. Heng United Kingdom 17 1.0k 0.5× 259 0.5× 184 0.8× 119 0.5× 156 1.4× 64 1.1k
John G. Baker United States 25 2.8k 1.4× 981 2.0× 237 1.1× 176 0.8× 76 0.7× 48 2.8k
P. Ajith India 23 2.1k 1.1× 419 0.9× 345 1.6× 254 1.2× 78 0.7× 48 2.1k

Countries citing papers authored by S. Babak

Since Specialization
Citations

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

Fields of papers citing papers by S. Babak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Babak

This figure shows the co-authorship network connecting the top 25 collaborators of S. Babak. A scholar is included among the top collaborators of S. Babak 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 S. Babak. S. Babak 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.
Babak, S., et al.. (2025). Modular global-fit pipeline for LISA data analysis. Physical review. D. 111(10). 10 indexed citations
2.
Babak, S., M. Falxa, Gabriele Franciolini, & Mauro Pieroni. (2024). Forecasting the sensitivity of pulsar timing arrays to gravitational wave backgrounds. Physical review. D. 110(6). 15 indexed citations
3.
Speri, Lorenzo, Laura Sberna, S. Babak, et al.. (2023). Measuring accretion-disk effects with gravitational waves from extreme mass ratio inspirals. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
4.
Babak, S., Chiara Caprini, Daniel G. Figueroa, et al.. (2023). Stochastic gravitational wave background from stellar origin binary black holes in LISA. Journal of Cosmology and Astroparticle Physics. 2023(8). 34–34. 43 indexed citations
5.
Falxa, M., S. Babak, & M. Le Jeune. (2023). Adaptive kernel density estimation proposal in gravitational wave data analysis. Physical review. D. 107(2). 5 indexed citations
6.
Speri, Lorenzo, Laura Sberna, S. Babak, et al.. (2023). Probing Accretion Physics with Gravitational Waves. Physical Review X. 13(2). 53 indexed citations
7.
Sberna, Laura, S. Babak, Sylvain Marsat, et al.. (2022). Observing GW190521-like binary black holes and their environment with LISA. BOA (University of Milano-Bicocca). 42 indexed citations
8.
Savalle, Etienne, J. R. Gair, Lorenzo Speri, & S. Babak. (2022). Assessing the impact of instrumental calibration uncertainty on LISA science. Physical review. D. 106(2). 11 indexed citations
9.
Karnesis, Nikolaos, S. Babak, Mauro Pieroni, Neil J. Cornish, & T. B. Littenberg. (2021). Characterization of the stochastic signal originating from compact binary populations as measured by LISA. Physical review. D. 104(4). 96 indexed citations
10.
Toubiana, Alexandre, Laura Sberna, Andrea Caputo, et al.. (2021). Detectable Environmental Effects in GW190521-like Black-Hole Binaries with LISA. Physical Review Letters. 126(10). 101105–101105. 52 indexed citations
11.
Toubiana, Alexandre, Kaze W. K. Wong, S. Babak, et al.. (2021). Discriminating between different scenarios for the formation and evolution of massive black holes with LISA. arXiv (Cornell University). 15 indexed citations
12.
Toubiana, Alexandre, S. Babak, Enrico Barausse, & Luis Lehner. (2021). Modeling gravitational waves from exotic compact objects. Physical review. D. 103(6). 17 indexed citations
13.
Vallisneri, Michele, Jean-Baptiste Bayle, S. Babak, & Antoine Petiteau. (2021). Time-delay interferometry without delays. Physical review. D. 103(8). 29 indexed citations
14.
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
15.
Taylor, Stephen R., L. Lentati, S. Babak, et al.. (2017). All correlations must die: Assessing the significance of a stochastic gravitational-wave background in pulsar timing arrays. Physical review. D. 95(4). 35 indexed citations
16.
Gair, J. R., Éanna É. Flanagan, Steve Drasco, Tanja Hinderer, & S. Babak. (2011). Forced motion near black holes. Physical review. D. Particles, fields, gravitation, and cosmology. 83(4). 53 indexed citations
17.
Petiteau, Antoine, Yu Shang, S. Babak, & Farhan Feroz. (2010). Search for spinning black hole binaries in mock LISA data using a genetic algorithm. Physical review. D. Particles, fields, gravitation, and cosmology. 81(10). 12 indexed citations
18.
Petiteau, Antoine, et al.. (2009). The search for spinning black hole binaries using a genetic algorithm. Max Planck Digital Library. 1 indexed citations
19.
Amaro‐Seoane, Pau, J. R. Gair, Marc Freitag, et al.. (2007). Astrophysics, detection and science applications of intermediate- and extreme mass-ratio inspirals. arXiv (Cornell University). 15 indexed citations
20.
Babak, S. & L. P. Grishchuk. (1999). Energy-momentum tensor for the gravitational field. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 61(2). 81 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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