S. S. Passmoor

984 total citations
9 papers, 97 citations indexed

About

S. S. Passmoor is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, S. S. Passmoor has authored 9 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in S. S. Passmoor's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). S. S. Passmoor is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Astrophysics and Cosmic Phenomena (4 papers). S. S. Passmoor collaborates with scholars based in South Africa, Burkina Faso and Netherlands. S. S. Passmoor's co-authors include C. Carignan, Kelley M. Hess, S. Goedhart, D. M. Lucero, B. S. Frank, T. H. Jarrett, W. J. G. de Blok, M. E. Cluver, C. M. Cress and A. Faltenbacher and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, The Astronomical Journal and Monthly Notices of the Royal Astronomical Society Letters.

In The Last Decade

S. S. Passmoor

9 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. S. Passmoor South Africa	7	94	33	24	4	2	9	97
J Hjorth United Kingdom	3	94 1.0×	27 0.8×	16 0.7×	2 0.5×	1 0.5×	4	94
Daniel Cunnama South Africa	5	79 0.8×	33 1.0×	16 0.7×	7 1.8×		6	79
S. G. Zonak United States	4	152 1.6×	22 0.7×	28 1.2×	9 2.3×	3 1.5×	6	155
Molly E. C. Swanson United States	3	80 0.9×	26 0.8×	49 2.0×	4 1.0×	4 2.0×	4	85
Manuel Solimano Chile	6	78 0.8×	17 0.5×	24 1.0×	3 0.8×	1 0.5×	11	82
B. E. Warren Australia	5	102 1.1×	47 1.4×	13 0.5×	2 0.5×		7	103
X. Q. Dong China	3	81 0.9×	13 0.4×	20 0.8×	3 0.8×		6	87
Holly Trowland New Zealand	2	67 0.7×	35 1.1×	16 0.7×	4 1.0×	7 3.5×	4	75
Sofía Rojas-Ruiz United States	6	92 1.0×	32 1.0×	34 1.4×	1 0.3×	2 1.0×	13	95
K. Flatland United States	2	71 0.8×	16 0.5×	20 0.8×	2 0.5×		3	72

Countries citing papers authored by S. S. Passmoor

Since Specialization

Citations

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

Fields of papers citing papers by S. S. Passmoor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Passmoor

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

9 of 9 papers shown

1.

Tremou, Evangelia, Ian Heywood, S. D. Vergani, et al.. (2019). GRB 190114C: MeerKAT radio observation.. GCN. 23760. 1. 1 indexed citations

2.

Carignan, C., D. J. Pisano, Tom Oosterloo, et al.. (2018). Early observations of the MHONGOOSE galaxies: getting ready for MeerKAT. Monthly Notices of the Royal Astronomical Society. 482(1). 1248–1269. 11 indexed citations

3.

Carignan, C., et al.. (2018). H i observations of Sextans A and B with the SKA pathfinder KAT-7. Monthly Notices of the Royal Astronomical Society. 478(1). 487–500. 6 indexed citations

4.

Carignan, C., et al.. (2017). H i kinematics, mass distribution and star formation threshold in NGC 6822, using the SKA pathfinder KAT-7. Monthly Notices of the Royal Astronomical Society. 472(3). 3761–3773. 7 indexed citations

5.

Hess, Kelley M., M. E. Cluver, Lukas Leisman, et al.. (2016). H i in group interactions: HCG 44. Monthly Notices of the Royal Astronomical Society. 464(1). 957–967. 14 indexed citations

6.

Hess, Kelley M., T. H. Jarrett, C. Carignan, S. S. Passmoor, & S. Goedhart. (2015). KAT-7 science verification: cold gas, star formation, and substructure in the nearby Antlia Cluster. Monthly Notices of the Royal Astronomical Society. 452(2). 1617–1636. 21 indexed citations

7.

Carignan, C., B. S. Frank, Kelley M. Hess, et al.. (2013). KAT-7 SCIENCE VERIFICATION: USING H I OBSERVATIONS OF NGC 3109 TO UNDERSTAND ITS KINEMATICS AND MASS DISTRIBUTION. The Astronomical Journal. 146(3). 48–48. 29 indexed citations

8.

Passmoor, S. S., et al.. (2013). Probing the bias of radio sources at high redshift. Monthly Notices of the Royal Astronomical Society. 429(3). 2183–2190. 2 indexed citations

9.

Passmoor, S. S., C. M. Cress, & A. Faltenbacher. (2011). Clustering of Hi galaxies in the Hi Parkes All Sky Survey and Arecibo Legacy Fast ALFA Survey. Monthly Notices of the Royal Astronomical Society Letters. 412(1). L50–L54. 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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