Farhan Feroz

2.3k total citations · 1 hit paper
31 papers, 1.0k citations indexed

About

Farhan Feroz is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Farhan Feroz has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 10 papers in Artificial Intelligence and 10 papers in Nuclear and High Energy Physics. Recurrent topics in Farhan Feroz's work include Cosmology and Gravitation Theories (9 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Gaussian Processes and Bayesian Inference (6 papers). Farhan Feroz is often cited by papers focused on Cosmology and Gravitation Theories (9 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Gaussian Processes and Bayesian Inference (6 papers). Farhan Feroz collaborates with scholars based in United Kingdom, United States and Germany. Farhan Feroz's co-authors include M. P. Hobson, Ewan Cameron, A. N. Pettitt, M. P. Hobson, Roberto Trotta, Roberto Ruiz de Austri, B. C. Allanach, Leszek Roszkowski, Shehu AbdusSalam and A. Lasenby and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Journal of High Energy Physics.

In The Last Decade

Farhan Feroz

29 papers receiving 984 citations

Hit Papers

Importance Nested Sampling and the MultiNest Algorithm 2019 2026 2021 2023 2019 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
Farhan Feroz United Kingdom 13 693 468 115 98 35 31 1.0k
M. P. Hobson United Kingdom 16 706 1.0× 267 0.6× 72 0.6× 89 0.9× 22 0.6× 37 874
Stephen M. Feeney United Kingdom 15 737 1.1× 289 0.6× 59 0.5× 100 1.0× 12 0.3× 30 865
F. Feroz United Kingdom 10 1.1k 1.5× 495 1.1× 185 1.6× 95 1.0× 39 1.1× 20 1.4k
L. P. Singer United States 13 1.2k 1.7× 375 0.8× 94 0.8× 49 0.5× 71 2.0× 51 1.3k
Martin Reinecke Germany 12 905 1.3× 336 0.7× 177 1.5× 51 0.5× 8 0.2× 30 1.1k
Brice Ménard United States 22 1.3k 1.9× 312 0.7× 382 3.3× 43 0.4× 23 0.7× 44 1.5k
Jens Jasche France 23 1.3k 1.8× 390 0.8× 246 2.1× 184 1.9× 9 0.3× 55 1.4k
J. D. Scargle United States 13 634 0.9× 251 0.5× 50 0.4× 24 0.2× 30 0.9× 29 823
Rafael S. de Souza United States 22 1.0k 1.5× 304 0.6× 229 2.0× 98 1.0× 5 0.1× 82 1.3k
Anna M. M. Scaife United Kingdom 19 998 1.4× 551 1.2× 88 0.8× 47 0.5× 7 0.2× 81 1.1k

Countries citing papers authored by Farhan Feroz

Since Specialization
Citations

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

Fields of papers citing papers by Farhan Feroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Feroz

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Feroz. A scholar is included among the top collaborators of Farhan Feroz 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 Farhan Feroz. Farhan Feroz 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.
Shahid, Farhana, Wasifur Rahman, Mohammad Saifur Rahman, et al.. (2020). Leveraging Free-Hand Sketches for Potential Screening of PTSD. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(3). 1–22. 6 indexed citations
2.
Olamaie, Malak, M. P. Hobson, Farhan Feroz, et al.. (2018). Free-form modelling of galaxy clusters: a Bayesian and data-driven approach. Monthly Notices of the Royal Astronomical Society. 481(3). 3853–3864. 10 indexed citations
3.
Perrott, Y. C., T. Cantwell, Steve Carey, et al.. (2017). AMI-CL J0300+2613: a Galactic anomalous-microwave-emission ring masquerading as a galaxy cluster. Monthly Notices of the Royal Astronomical Society. 473(1). 1157–1167.
4.
Olamaie, Malak, Y. C. Perrott, H. R. Russell, et al.. (2016). AMI observations of 10 CLASH galaxy clusters: SZ and X-ray data used together to determine cluster dynamical states. Monthly Notices of the Royal Astronomical Society. 460(1). 569–589. 8 indexed citations
5.
Terrell, D. & Farhan Feroz. (2016). Photo-Dynamical Analysis of Three Kepler Objects of Interest with Significant Transit Timing Variations. 13 indexed citations
6.
Graff, P. B. & Farhan Feroz. (2013). SkyNet: Neural network training tool for machine learning in astronomy. ascl.
7.
Feroz, Farhan & John Skilling. (2013). Exploring multi-modal distributions with nested sampling. AIP conference proceedings. 14 indexed citations
9.
Graff, P. B., Farhan Feroz, M. P. Hobson, & A. Lasenby. (2013). Neural Networks for Astronomical Data Analysis and Bayesian Inference. 5. 16–23. 6 indexed citations
10.
Rodríguez‐Gonzálvez, Carmen, T. W. Shimwell, Matthew L. Davies, et al.. (2012). Detailed Sunyaev-Zel'dovich study with AMI of 19 LoCuSS galaxy clusters: masses and temperatures out to the virial radius. Monthly Notices of the Royal Astronomical Society. 425(1). 162–203. 16 indexed citations
11.
Olamaie, Malak, Carmen Rodríguez‐Gonzálvez, Matthew L. Davies, et al.. (2012). Parametrization effects in the analysis of AMI Sunyaev-Zel’dovich observations. Monthly Notices of the Royal Astronomical Society. 421(2). 1136–1154. 6 indexed citations
12.
Austri, Roberto Ruiz de, Roberto Trotta, & Farhan Feroz. (2011). SuperBayeS: Supersymmetry Parameters Extraction Routines for Bayesian Statistics. ascl. 2 indexed citations
13.
Hurley‐Walker, N., Michael D. Brown, Matthew L. Davies, et al.. (2011). Further Sunyaev-Zel’dovich observations of two Planck ERCSC clusters with the Arcminute Microkelvin Imager. Monthly Notices of the Royal Astronomical Society Letters. 414(1). L75–L79. 5 indexed citations
14.
Graff, P. B., et al.. (2011). BAMBI: blind accelerated multimodal Bayesian inference. arXiv (Cornell University). 1 indexed citations
15.
Bridges, Michael, K. Cranmer, Farhan Feroz, et al.. (2011). A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques. Journal of High Energy Physics. 2011(3). 27 indexed citations
16.
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
17.
AbdusSalam, Shehu, B. C. Allanach, Fernando Quevedo, Farhan Feroz, & M. P. Hobson. (2010). Fitting the phenomenological MSSM. Physical review. D. Particles, fields, gravitation, and cosmology. 81(9). 70 indexed citations
18.
Feroz, Farhan, Roberto Trotta, M. P. Hobson, Leszek Roszkowski, & Roberto Ruiz de Austri. (2009). Are BR(anti-B ---> X(s) gamma) and (g-2)(muon) consistent within the Constrained MSSM?. 2 indexed citations
19.
Feroz, Farhan, Jonathan R. Gair, Michael P. Hobson, & E. K. Porter. (2009). Use of the MULTINEST algorithm for gravitational wave data analysis. Classical and Quantum Gravity. 26(21). 215003–215003. 47 indexed citations
20.
Trotta, Roberto, Farhan Feroz, M. P. Hobson, Leszek Roszkowski, & Roberto Ruiz de Austri. (2008). The impact of priors and observables on parameter inferences in the constrained MSSM. Journal of High Energy Physics. 2008(12). 24–24. 121 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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