Mubdi Rahman

7.9k total citations
18 papers, 293 citations indexed

About

Mubdi Rahman is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Mubdi Rahman has authored 18 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Mubdi Rahman's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysics and Star Formation Studies (8 papers) and Stellar, planetary, and galactic studies (5 papers). Mubdi Rahman is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysics and Star Formation Studies (8 papers) and Stellar, planetary, and galactic studies (5 papers). Mubdi Rahman collaborates with scholars based in United States, Canada and Japan. Mubdi Rahman's co-authors include Brice Ménard, Ryan Scranton, Samuel J. Schmidt, Christopher Morrison, Patrick C. Breysse, B. Acke, M. Meixner, Julia Román-Duval, Neal J. Evans and Andrew Hopkins and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astronomical Journal.

In The Last Decade

Mubdi Rahman

16 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mubdi Rahman United States 10 279 54 49 42 20 18 293
J. Carretero Spain 9 239 0.9× 110 2.0× 28 0.6× 36 0.9× 14 0.7× 16 262
M. A. Sgró Argentina 9 325 1.2× 172 3.2× 53 1.1× 24 0.6× 21 1.1× 15 335
R. Skibba United Kingdom 6 329 1.2× 139 2.6× 19 0.4× 42 1.0× 24 1.2× 6 332
Benjamin D. Wibking United States 11 222 0.8× 73 1.4× 40 0.8× 20 0.5× 12 0.6× 21 252
Sam Verstocken Belgium 10 323 1.2× 81 1.5× 24 0.5× 33 0.8× 36 1.8× 13 327
M. Lares Argentina 11 368 1.3× 174 3.2× 59 1.2× 53 1.3× 30 1.5× 30 384
T. Tuvikene Estonia 9 455 1.6× 201 3.7× 91 1.9× 31 0.7× 11 0.6× 26 474
B. R. Granett Italy 11 422 1.5× 82 1.5× 116 2.4× 12 0.3× 8 0.4× 22 444
L. P. Cassará Italy 12 511 1.8× 175 3.2× 51 1.0× 29 0.7× 26 1.3× 25 522

Countries citing papers authored by Mubdi Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Mubdi Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubdi Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Mubdi Rahman. A scholar is included among the top collaborators of Mubdi Rahman 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 Mubdi Rahman. Mubdi Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Leung, Calvin, Kiyoshi W. Masui, Charanjot Brar, et al.. (2025). A VLBI Software Correlator for Fast Radio Transients. The Astronomical Journal. 170(1). 53–53.
2.
Leung, Calvin, Kiyoshi W. Masui, Bridget C. Andersen, et al.. (2025). A Very Long Baseline Interferometry Calibrator Grid at 600 MHz for Fast Radio Transient Localizations with CHIME/FRB Outriggers. The Astrophysical Journal. 981(1). 39–39. 1 indexed citations
3.
Rahman, Mubdi, Norman Murray, Dušan Kereš, et al.. (2025). The Effect of Galaxy Interactions on Starbursts in Milky Way-mass Galaxies in FIRE Simulations. The Astrophysical Journal. 979(1). 7–7.
4.
Sanghavi, Pranav, Calvin Leung, Kevin Bandura, et al.. (2024). TONE: A CHIME/FRB Outrigger Pathfinder for Localizations of Fast Radio Bursts using Very Long Baseline Interferometry. Journal of Astronomical Instrumentation. 13(3). 2 indexed citations
5.
Rafiei-Ravandi, Masoud, Kendrick M. Smith, Daniele Michilli, et al.. (2024). Statistical Association between the Candidate Repeating FRB 20200320A and a Galaxy Group. The Astrophysical Journal. 961(2). 177–177. 1 indexed citations
6.
Bhardwaj, Mohit, A. Yu. Kirichenko, Daniele Michilli, et al.. (2021). A Local Universe Host for the Repeating Fast Radio Burst FRB 20181030A. The Astrophysical Journal Letters. 919(2). L24–L24. 58 indexed citations
7.
Li, Fei, Mubdi Rahman, Norman Murray, et al.. (2020). Probing the CGM of low-redshift dwarf galaxies using FIRE simulations. Monthly Notices of the Royal Astronomical Society. 500(1). 1038–1053. 12 indexed citations
8.
Kovetz, Ely D., Alvise Raccanelli, & Mubdi Rahman. (2017). Cosmological constraints with clustering-based redshifts. Monthly Notices of the Royal Astronomical Society. 468(3). 3650–3656. 16 indexed citations
9.
Breysse, Patrick C. & Mubdi Rahman. (2017). Feeding cosmic star formation: exploring high-redshift molecular gas with CO intensity mapping. Monthly Notices of the Royal Astronomical Society. 468(1). 741–750. 16 indexed citations
10.
Acke, B., M. Meixner, Julia Román-Duval, Mubdi Rahman, & Neal J. Evans. (2017). What Sets the Massive Star Formation Rates and Efficiencies of Giant Molecular Clouds?. The Astrophysical Journal. 841(2). 109–109. 29 indexed citations
11.
Rahman, Mubdi, Alexander J. Mendez, Brice Ménard, et al.. (2016). Exploring the SDSS photometric galaxies with clustering redshifts. Monthly Notices of the Royal Astronomical Society. 460(1). 163–174. 25 indexed citations
12.
Rahman, Mubdi, Brice Ménard, & Ryan Scranton. (2016). Exploring the 2MASS extended and point source catalogues with clustering redshifts. Monthly Notices of the Royal Astronomical Society. 457(4). 3912–3921. 21 indexed citations
13.
Fox, Andrew J., Nicolas Lehner, Felix J. Lockman, et al.. (2015). ON THE METALLICITY AND ORIGIN OF THE SMITH HIGH-VELOCITY CLOUD*. The Astrophysical Journal Letters. 816(1). L11–L11. 31 indexed citations
14.
Rahman, Mubdi, Brice Ménard, Ryan Scranton, Samuel J. Schmidt, & Christopher Morrison. (2015). Clustering-based redshift estimation: comparison to spectroscopic redshifts. Monthly Notices of the Royal Astronomical Society. 447(4). 3500–3511. 38 indexed citations
15.
Schmidt, Samuel J., Brice Ménard, Ryan Scranton, et al.. (2014). Inferring the redshift distribution of the cosmic infrared background★. Monthly Notices of the Royal Astronomical Society. 446(3). 2696–2708. 33 indexed citations
16.
Ménard, Brice, Ryan Scranton, Samuel J. Schmidt, et al.. (2013). Estimating redshift distributions with spatial correlations: method and application to data. arXiv (Cornell University). 1 indexed citations
17.
Rahman, Mubdi, Christopher D. Matzner, & Dae‐Sik Moon. (2013). OB ASSOCIATIONS AT THE UPPER END OF THE MILKY WAY LUMINOSITY FUNCTION. The Astrophysical Journal. 766(2). 135–135. 3 indexed citations
18.
Rahman, Mubdi, Christopher D. Matzner, & Dae‐Sik Moon. (2011). A CANDIDATE FOR THE MOST LUMINOUS OB ASSOCIATION IN THE GALAXY. The Astrophysical Journal Letters. 728(2). L37–L37. 6 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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