Elijah P. Mathews

838 total citations · 1 hit paper
7 papers, 370 citations indexed

About

Elijah P. Mathews is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Elijah P. Mathews has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 1 paper in Nuclear and High Energy Physics. Recurrent topics in Elijah P. Mathews's work include Galaxies: Formation, Evolution, Phenomena (7 papers), Gamma-ray bursts and supernovae (4 papers) and Astronomy and Astrophysical Research (4 papers). Elijah P. Mathews is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (7 papers), Gamma-ray bursts and supernovae (4 papers) and Astronomy and Astrophysical Research (4 papers). Elijah P. Mathews collaborates with scholars based in United States, Australia and United Kingdom. Elijah P. Mathews's co-authors include Joel Leja, Erica J. Nelson, Rachel Bezanson, Katherine E. Whitaker, Mauro Stefanon, Ivo Labbé, Bingjie Wang, Katherine A. Suess, Gabriel Brammer and Pieter van Dokkum and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Elijah P. Mathews

6 papers receiving 279 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A population of red candidate massive galaxies ~600 Myr after the Big Bang

2023 281 citations Ivo Labbé, Pieter van Dokkum et al. Nature profile →

Peers

Elijah P. Mathews

AA

INSTR

NHEP

CM

SNP

N. Lyskova Russia

Jorge González-López Chile

Tonima Tasnim Ananna United States

B.A. onder red. van E. Jacobs United States

Hannah Übler United Kingdom

P. S. Bessiere Spain

Minjung Park United States

Ayan Acharyya United States

L. Marchetti South Africa

M. Verdugo Austria

N. Lyskova Russia

Elijah P. Mathews

244 ×0.7

AA

95 ×0.6

INSTR

78 ×1.2

NHEP

9 ×0.6

CM

10 ×1.0

SNP

Citations per year, relative to Elijah P. Mathews Elijah P. Mathews (= 1×) peers N. Lyskova

Countries citing papers authored by Elijah P. Mathews

Since Specialization

Citations

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

Fields of papers citing papers by Elijah P. Mathews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elijah P. Mathews. 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 Elijah P. Mathews. The network helps show where Elijah P. Mathews may publish in the future.

Co-authorship network of co-authors of Elijah P. Mathews

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Belli, Sirio, Minjung Park, R. L. Davies, et al.. (2025). Active Galactic Nucleus Feedback in Quiescent Galaxies at Cosmic Noon Traced by Ionized Gas Emission. The Astrophysical Journal. 981(1). 25–25. 5 indexed citations

2.

Hunter, Deidre A., Bruce G. Elmegreen, L. K. Hunt, et al.. (2025). Stellar Populations and Molecular Gas Composition in the Low-metallicity Environment of WLM. The Astronomical Journal. 169(6). 301–301.

3.

Davies, R. L., Sirio Belli, Minjung Park, et al.. (2024). JWST reveals widespread AGN-driven neutral gas outflows in massive z ~ 2 galaxies. Monthly Notices of the Royal Astronomical Society. 528(3). 4976–4992. 25 indexed citations

4.

Belli, Sirio, Minjung Park, R. L. Davies, et al.. (2024). Star formation shut down by multiphase gas outflow in a galaxy at a redshift of 2.45. Nature. 630(8015). 54–58. 34 indexed citations

5.

Park, Minjung, Sirio Belli, Charlie Conroy, et al.. (2024). Widespread Rapid Quenching at Cosmic Noon Revealed by JWST Deep Spectroscopy. The Astrophysical Journal. 976(1). 72–72. 17 indexed citations

6.

Mathews, Elijah P., Joel Leja, Joshua S. Speagle, et al.. (2023). As Simple as Possible but No Simpler: Optimizing the Performance of Neural Net Emulators for Galaxy SED Fitting. The Astrophysical Journal. 954(2). 132–132. 8 indexed citations

7.

Labbé, Ivo, Pieter van Dokkum, Erica J. Nelson, et al.. (2023). A population of red candidate massive galaxies ~600 Myr after the Big Bang. Nature. 616(7956). 266–269. 281 indexed citations breakdown →

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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