R. Prix

38.5k total citations
60 papers, 1.4k citations indexed

About

R. Prix is a scholar working on Astronomy and Astrophysics, Oceanography and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, R. Prix has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Astronomy and Astrophysics, 24 papers in Oceanography and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in R. Prix's work include Pulsars and Gravitational Waves Research (54 papers), Geophysics and Gravity Measurements (24 papers) and Gamma-ray bursts and supernovae (14 papers). R. Prix is often cited by papers focused on Pulsars and Gravitational Waves Research (54 papers), Geophysics and Gravity Measurements (24 papers) and Gamma-ray bursts and supernovae (14 papers). R. Prix collaborates with scholars based in Germany, United States and United Kingdom. R. Prix's co-authors include M. A. Papa, G. L. Comer, Nils Andersson, K. Wette, G. Ashton, Christoph Dreißigacker, C. Messenger, P. Leaci, D. I. Jones and M. Shaltev and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and The Astrophysical Journal.

In The Last Decade

R. Prix

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Prix Germany 22 1.3k 465 391 304 137 60 1.4k
R. C. Essick United States 20 1.4k 1.0× 362 0.8× 300 0.8× 133 0.4× 61 0.4× 35 1.4k
I. S. Heng United Kingdom 17 1.0k 0.8× 184 0.4× 119 0.3× 156 0.5× 99 0.7× 64 1.1k
P. D. Lasky Australia 31 2.6k 1.9× 455 1.0× 295 0.8× 173 0.6× 51 0.4× 103 2.6k
B. Haskell Poland 25 1.7k 1.3× 785 1.7× 369 0.9× 402 1.3× 34 0.2× 64 1.8k
S. Babak France 20 1.9k 1.5× 221 0.5× 220 0.6× 110 0.4× 68 0.5× 37 2.0k
Shubhanshu Tiwari Switzerland 15 1.5k 1.2× 291 0.6× 180 0.5× 101 0.3× 49 0.4× 31 1.6k
C. M. Espinoza Chile 17 1.3k 1.0× 487 1.0× 451 1.2× 221 0.7× 22 0.2× 38 1.3k
P. Schmidt United Kingdom 23 1.9k 1.4× 388 0.8× 275 0.7× 127 0.4× 40 0.3× 70 2.2k
Katerina Chatziioannou United States 31 2.7k 2.0× 661 1.4× 513 1.3× 178 0.6× 53 0.4× 70 2.8k
Mark Hannam United Kingdom 21 2.8k 2.1× 534 1.1× 404 1.0× 139 0.5× 73 0.5× 37 2.9k

Countries citing papers authored by R. Prix

Since Specialization
Citations

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

Fields of papers citing papers by R. Prix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Prix

This figure shows the co-authorship network connecting the top 25 collaborators of R. Prix. A scholar is included among the top collaborators of R. Prix 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 R. Prix. R. Prix 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.
Prix, R.. (2025). Analytic weak-signal approximation of the Bayes factor for continuous gravitational waves. Classical and Quantum Gravity. 42(6). 65006–65006. 3 indexed citations
2.
Covas, P. B., et al.. (2024). New framework to follow up candidates from continuous gravitational-wave searches. Physical review. D. 110(2). 5 indexed citations
3.
Joshi, Prasanna & R. Prix. (2024). Large-kernel convolutional neural networks for wide parameter-space searches of continuous gravitational waves. Physical review. D. 110(12). 3 indexed citations
4.
Ming, J., M. A. Papa, H.-B. Eggenstein, et al.. (2024). Deep Einstein@Home Search for Continuous Gravitational Waves from the Central Compact Objects in the Supernova Remnants Vela Jr. and G347.3-0.5 Using LIGO Public Data. The Astrophysical Journal. 977(2). 154–154. 5 indexed citations
5.
Joshi, Prasanna & R. Prix. (2023). Novel neural-network architecture for continuous gravitational waves. Physical review. D. 108(6). 5 indexed citations
6.
Steltner, B., M. A. Papa, H.-B. Eggenstein, et al.. (2023). Deep Einstein@Home All-sky Search for Continuous Gravitational Waves in LIGO O3 Public Data. The Astrophysical Journal. 952(1). 55–55. 28 indexed citations
7.
Ming, J., M. A. Papa, H.-B. Eggenstein, et al.. (2022). Results From an Einstein@Home Search for Continuous Gravitational Waves From G347.3 at Low Frequencies in LIGO O2 Data. The Astrophysical Journal. 925(1). 8–8. 9 indexed citations
8.
Keitel, D., et al.. (2021). PyFstat/PyFstat: v1.11.3. Figshare. 1 indexed citations
9.
Beheshtipour, Banafsheh, M. A. Papa, P. C. C. Freire, et al.. (2021). New Searches for Continuous Gravitational Waves from Seven Fast Pulsars. The Astrophysical Journal. 923(1). 85–85. 15 indexed citations
10.
Keitel, D., R. Tenorio, G. Ashton, & R. Prix. (2021). PyFstat: a Python package for continuous gravitational-wave data analysis. The Journal of Open Source Software. 6(60). 3000–3000. 13 indexed citations
11.
Dreißigacker, Christoph & R. Prix. (2020). Deep-learning continuous gravitational waves: Multiple detectors and realistic noise. Physical review. D. 102(2). 34 indexed citations
12.
Dreißigacker, Christoph, et al.. (2019). Deep-learning continuous gravitational waves. Physical review. D. 100(4). 55 indexed citations
13.
Wette, K., R. Prix, D. Keitel, et al.. (2018). OctApps: a library of Octave functions for continuous gravitational-wave data analysis. The Journal of Open Source Software. 3(26). 707–707. 12 indexed citations
14.
Wette, K., S. Walsh, R. Prix, & M. A. Papa. (2018). Weave: a semicoherent search implementation for continuous gravitational waves. arXiv (Cornell University). 2 indexed citations
15.
Jones, D. I., G. Ashton, & R. Prix. (2017). Implications of the Occurrence of Glitches in Pulsar Free Precession Candidates. Physical Review Letters. 118(26). 261101–261101. 11 indexed citations
16.
Prix, R. & M. Shaltev. (2012). Search for continuous gravitational waves: Optimal StackSlide method at fixed computing cost. Physical review. D. Particles, fields, gravitation, and cosmology. 85(8). 52 indexed citations
17.
Whelan, J. T., R. Prix, & Deepak Khurana. (2008). Mock LISA Data Challenge 1B: improved search for galactic white dwarf binaries using an F-statistic template bank. arXiv (Cornell University).
18.
Andersson, Nils, G. L. Comer, & R. Prix. (2003). Are Pulsar Glitches Triggered by a Superfluid Two-Stream Instability?. Physical Review Letters. 90(9). 91101–91101. 67 indexed citations
19.
Prix, R.. (2002). Variational derivation of Newtonian multi-fluid hydrodynamics. arXiv (Cornell University). 1 indexed citations
20.
Prix, R., G. L. Comer, & Nils Andersson. (2002). Slowly rotating superfluid Newtonian neutron star model with entrainment. Astronomy and Astrophysics. 381(1). 178–196. 55 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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