S. K. Leslie

2.5k total citations
30 papers, 462 citations indexed

About

S. K. Leslie is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, S. K. Leslie has authored 30 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Astronomy and Astrophysics, 13 papers in Instrumentation and 8 papers in Nuclear and High Energy Physics. Recurrent topics in S. K. Leslie's work include Galaxies: Formation, Evolution, Phenomena (29 papers), Astronomy and Astrophysical Research (13 papers) and Astrophysics and Star Formation Studies (12 papers). S. K. Leslie is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (29 papers), Astronomy and Astrophysical Research (13 papers) and Astrophysics and Star Formation Studies (12 papers). S. K. Leslie collaborates with scholars based in Germany, United Kingdom and Netherlands. S. K. Leslie's co-authors include Lisa J. Kewley, D. B. Sanders, Nicholas Lee, Eva Schinnerer, M. Sargent, B. Magnelli, G. Zamorani, E. Vardoulaki, V. Smolčić and Brent Groves and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

S. K. Leslie

29 papers receiving 426 citations

Peers

S. K. Leslie

INSTR

NHEP

ECOLO

L. Marchetti South Africa

Baitian Tang China

Deborah Padgett Italy

Tonima Tasnim Ananna United States

A. Zenteno United States

E. Bernhard United Kingdom

Meredith C. Powell United States

Duncan Austin United Kingdom

P.‐A. Duc France

Cristina Furlanetto Brazil

L. Marchetti South Africa

S. K. Leslie

452 ×1.0

185 ×1.1

INSTR

114 ×0.9

NHEP

13 ×0.9

9 ×0.8

ECOLO

Citations per year, relative to S. K. Leslie S. K. Leslie (= 1×) peers L. Marchetti

Countries citing papers authored by S. K. Leslie

Since Specialization

Citations

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

Fields of papers citing papers by S. K. Leslie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. Leslie. 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 S. K. Leslie. The network helps show where S. K. Leslie may publish in the future.

Co-authorship network of co-authors of S. K. Leslie

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Leslie. A scholar is included among the top collaborators of S. K. Leslie 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 S. K. Leslie. S. K. Leslie 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:

20 of 20 papers shown

An, Fangxia, M. Vaccari, P. N. Best, et al.. (2024). Radio spectral properties of star-forming galaxies between 150 and 5000 MHz in the ELAIS-N1 field. Monthly Notices of the Royal Astronomical Society. 528(3). 5346–5363. 3 indexed citations

Parkinson, David, R. P. Norris, Andrew Hopkins, et al.. (2023). Identifying anomalous radio sources in the Evolutionary Map of the Universe Pilot Survey using a complexity-based approach. Monthly Notices of the Royal Astronomical Society. 521(1). 1429–1447. 7 indexed citations

Hodge, Jacqueline, Shuowen Jin, Hiddo Algera, et al.. (2023). An Ultradeep Multiband Very Large Array Survey of the Faint Radio Sky (COSMOS-XS): New Constraints on the Optically Dark Population. The Astrophysical Journal. 951(2). 131–131. 4 indexed citations

Hodge, Jacqueline, Hiddo Algera, Ian Smail, et al.. (2022). An Ultra-deep Multiband Very Large Array (VLA) Survey of the Faint Radio Sky (COSMOS-XS): New Constraints on the Cosmic Star Formation History. The Astrophysical Journal. 941(1). 10–10. 7 indexed citations

Leslie, S. K., Jason Young, I. Prandoni, et al.. (2022). Star formation and AGN feedback in the local Universe: Combining LOFAR and MaNGA. Astronomy and Astrophysics. 665. A144–A144. 13 indexed citations

Davidzon, I., O. Ilbert, S. de la Torre, et al.. (2022). COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys. Astronomy and Astrophysics. 665. A34–A34. 16 indexed citations

Algera, Hiddo, Jacqueline Hodge, Dominik A. Riechers, et al.. (2022). COLDz: Probing Cosmic Star Formation With Radio Free–Free Emission. The Astrophysical Journal. 924(2). 76–76. 6 indexed citations

Leslie, S. K., Brent Groves, Jacqueline Hodge, et al.. (2022). Probing star formation and ISM properties using galaxy disk inclination. Astronomy and Astrophysics. 662. A26–A26. 6 indexed citations

Delvecchio, I., E. Daddi, Mike Jarvis, et al.. (2021). The infrared-radio correlation of star-forming galaxies is strongly M?-dependent but nearly redshift-invariant since z ~ 4. Figshare. 7 indexed citations

10.

Vardoulaki, E., I. Delvecchio, V. Smolčić, et al.. (2021). FR-type radio sources at 3 GHz VLA-COSMOS: Relation to physical properties and large-scale environment. Springer Link (Chiba Institute of Technology). 15 indexed citations

11.

Bonato, Matteo, I. Prandoni, G. de Zotti, et al.. (2021). The LOFAR Two-metre Sky Survey Deep Fields. Astronomy and Astrophysics. 656. A48–A48. 17 indexed citations

12.

Smith, D. J. B., G. Gürkan, P. N. Best, et al.. (2020). The LOFAR Two-metre Sky Survey Deep Fields. Astronomy and Astrophysics. 648. A6–A6. 57 indexed citations

13.

Röttgering, H. J. A., P. N. Best, Arjen van der Wel, et al.. (2020). Link between radio-loud AGNs and host-galaxy shape. Astronomy and Astrophysics. 644. A12–A12. 6 indexed citations

14.

Leslie, S. K., Eva Schinnerer, Daizhong Liu, et al.. (2020). Sussex Research Online (University of Sussex). 11 indexed citations

15.

Smolčić, V., I. Delvecchio, A. Butler, et al.. (2020). The XXL Survey. Astronomy and Astrophysics. 642. A125–A125. 6 indexed citations

16.

Fudamoto, Yoshinobu, Pascal A. Oesch, B. Magnelli, et al.. (2019). A3COSMOS: the dust attenuation of star-forming galaxies at z = 2.5–4.0 from the COSMOS-ALMA archive. Monthly Notices of the Royal Astronomical Society. 491(4). 4724–4734. 25 indexed citations

17.

Leslie, S. K., Eva Schinnerer, Brent Groves, et al.. (2018). Probing star formation and ISM properties using galaxy disk inclination II: testing typical FUV attenuation corrections out to z~0.7. Figshare.

18.

Leslie, S. K., M. Sargent, Eva Schinnerer, et al.. (2018). Probing star formation and ISM properties using galaxy disk inclination. Springer Link (Chiba Institute of Technology). 4 indexed citations

19.

McPartland, Conor, D. B. Sanders, Lisa J. Kewley, & S. K. Leslie. (2018). Dissecting the main sequence: AGN activity and bulge growth in the local Universe. Monthly Notices of the Royal Astronomical Society Letters. 482(1). L129–L133. 15 indexed citations

20.

Leslie, S. K., Eva Schinnerer, Brent Groves, et al.. (2018). Probing star formation and ISM properties using galaxy disk inclination. Astronomy and Astrophysics. 616. A157–A157. 4 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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