M. Pitkin

94.2k total citations
27 papers, 387 citations indexed

About

M. Pitkin is a scholar working on Astronomy and Astrophysics, Oceanography and Geophysics. According to data from OpenAlex, M. Pitkin has authored 27 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 8 papers in Oceanography and 7 papers in Geophysics. Recurrent topics in M. Pitkin's work include Pulsars and Gravitational Waves Research (19 papers), Geophysics and Gravity Measurements (8 papers) and Seismic Waves and Analysis (5 papers). M. Pitkin is often cited by papers focused on Pulsars and Gravitational Waves Research (19 papers), Geophysics and Gravity Measurements (8 papers) and Seismic Waves and Analysis (5 papers). M. Pitkin collaborates with scholars based in United Kingdom, United States and Australia. M. Pitkin's co-authors include M. Isi, A. J. Weinstein, G. Woan, D. I. Jones, Carver Mead, B. Haskell, P. D. Lasky, J. A. Clark, C. Messenger and I. S. Heng and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physical review. D and Classical and Quantum Gravity.

In The Last Decade

M. Pitkin

26 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Pitkin United Kingdom 11 381 100 91 70 48 27 387
S. J. Kapadia India 13 567 1.5× 76 0.8× 91 1.0× 110 1.6× 31 0.6× 36 581
K. Ackley United States 9 582 1.5× 60 0.6× 109 1.2× 108 1.5× 32 0.7× 17 596
C. Pankow United States 9 478 1.3× 84 0.8× 107 1.2× 68 1.0× 24 0.5× 12 484
Drew Keppel Germany 12 372 1.0× 74 0.7× 80 0.9× 50 0.7× 22 0.5× 18 382
M. J. Szczepańczyk United States 11 421 1.1× 57 0.6× 85 0.9× 83 1.2× 24 0.5× 18 437
V. Tiwari United Kingdom 11 568 1.5× 68 0.7× 123 1.4× 84 1.2× 25 0.5× 17 582
D. Davis United States 8 379 1.0× 89 0.9× 124 1.4× 52 0.7× 24 0.5× 13 407
K. C. Cannon United States 14 634 1.7× 109 1.1× 120 1.3× 124 1.8× 20 0.4× 27 651
L. K. Nuttall United Kingdom 11 791 2.1× 69 0.7× 134 1.5× 216 3.1× 40 0.8× 20 804
M. Drago Italy 13 662 1.7× 87 0.9× 185 2.0× 95 1.4× 35 0.7× 28 680

Countries citing papers authored by M. Pitkin

Since Specialization
Citations

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

Fields of papers citing papers by M. Pitkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pitkin. A scholar is included among the top collaborators of M. Pitkin 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. Pitkin. M. Pitkin 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.
Wette, K., et al.. (2023). Population synthesis and parameter estimation of neutron stars with continuous gravitational waves and third-generation detectors. Monthly Notices of the Royal Astronomical Society. 527(4). 10564–10574. 1 indexed citations
2.
Pitkin, M.. (2022). CWInPy: A Python package for inference with continuousgravitational-wave signals from pulsars. The Journal of Open Source Software. 7(77). 4568–4568. 3 indexed citations
3.
Macleod, D. M., A. L. Urban, S. B. Coughlin, et al.. (2021). gwpy/gwpy: 2.0.4. Zenodo (CERN European Organization for Nuclear Research).
4.
Isi, M., S. Mastrogiovanni, M. Pitkin, & O. J. Piccinni. (2020). Establishing the significance of continuous gravitational-wave detections from known pulsars. Physical review. D. 102(12). 14 indexed citations
5.
Macleod, D. M., A. L. Urban, S. B. Coughlin, et al.. (2020). gwpy/gwpy: 2.0.2. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Keitel, D., G. Woan, M. Pitkin, et al.. (2019). First search for long-duration transient gravitational waves after glitches in the Vela and Crab pulsars. Physical review. D. 100(6). 25 indexed citations
7.
Macleod, D. M., A. L. Urban, S. B. Coughlin, et al.. (2019). GWpy: Python package for studying data from gravitational-wave detectors. ascl. 3 indexed citations
8.
Urban, A. L., S. B. Coughlin, T. J. Massinger, et al.. (2019). gwpy/gwpy: 1.0.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Woan, G., M. Pitkin, B. Haskell, D. I. Jones, & P. D. Lasky. (2018). Evidence for a Minimum Ellipticity in Millisecond Pulsars. The Astrophysical Journal Letters. 863(2). L40–L40. 57 indexed citations
10.
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
11.
Pitkin, M., C. Messenger, & Xi-Long Fan. (2018). Hierarchical Bayesian method for detecting continuous gravitational waves from an ensemble of pulsars. Physical review. D. 98(6). 10 indexed citations
12.
Pitkin, M., et al.. (2018). Reduced order modelling in searches for continuous gravitational waves – I. Barycentring time delays. Monthly Notices of the Royal Astronomical Society. 476(4). 4510–4519. 2 indexed citations
13.
Walsh, S., M. Pitkin, M. Oliver, et al.. (2016). Comparison of methods for the detection of gravitational waves from unknown neutron stars. Physical review. D. 94(12). 29 indexed citations
14.
Isi, M., A. J. Weinstein, Carver Mead, & M. Pitkin. (2015). Detecting beyond-Einstein polarizations of continuous gravitational waves. Physical review. D. Particles, fields, gravitation, and cosmology. 91(8). 48 indexed citations
15.
Pitkin, M., C. Gill, D. I. Jones, G. Woan, & G. S. Davies. (2015). First results and future prospects for dual-harmonic searches for gravitational waves from spinning neutron stars. Monthly Notices of the Royal Astronomical Society. 453(4). 4400–4421. 8 indexed citations
16.
Hammond, G., S. Hild, & M. Pitkin. (2014). Advanced technologies for future ground-based, laser-interferometric gravitational wave detectors. Journal of Modern Optics. 61(sup1). S10–S45. 4 indexed citations
17.
Pitkin, M. & G. Woan. (2007). Binary system delays and timing noise in searches for gravitationalwaves from known pulsars. Physical review. D. Particles, fields, gravitation, and cosmology. 76(4). 2 indexed citations
18.
Stroeer, A., J. Veitch, Christian Röver, et al.. (2007). Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets. Classical and Quantum Gravity. 24(19). S541–S549. 11 indexed citations
19.
Röver, Christian, A. Stroeer, N. Christensen, et al.. (2007). Inference on inspiral signals using LISA MLDC data. Classical and Quantum Gravity. 24(19). S521–S527. 10 indexed citations
20.
Pitkin, M., et al.. (2005). Searching for gravitational waves from known pulsars. Lancaster EPrints (Lancaster University). 3 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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