S. A. MacLennan

52 total papers · 501 total citations
22 papers, 315 citations indexed

About

S. A. MacLennan is a scholar working on Geophysics, Paleontology and Artificial Intelligence. According to data from OpenAlex, S. A. MacLennan has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 10 papers in Paleontology and 9 papers in Artificial Intelligence. Recurrent topics in S. A. MacLennan's work include Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (9 papers) and Paleontology and Stratigraphy of Fossils (8 papers). S. A. MacLennan is often cited by papers focused on Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (9 papers) and Paleontology and Stratigraphy of Fossils (8 papers). S. A. MacLennan collaborates with scholars based in United States, South Africa and China. S. A. MacLennan's co-authors include Blair Schoene, Mauricio Ibáñez-Mejía, Adam C. Maloof, François Tissot, Lin Wang, Feng Cheng, Mulugeta Alene, Nicholas L. Swanson‐Hysell, Bereket Haileab and Marc‐Alban Millet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Geochimica et Cosmochimica Acta and Earth and Planetary Science Letters.

In The Last Decade

S. A. MacLennan

20 papers receiving 308 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. A. MacLennan 259 110 88 81 50 22 315
Sirle Liivamägi 205 0.8× 139 1.3× 72 0.8× 72 0.9× 123 2.5× 13 295
Neil Williams 213 0.8× 119 1.1× 51 0.6× 160 2.0× 91 1.8× 13 341
Masamichi Takebe 197 0.8× 144 1.3× 82 0.9× 46 0.6× 131 2.6× 23 341
H.S. Van Niekerk 253 1.0× 181 1.6× 71 0.8× 101 1.2× 164 3.3× 13 356
Camille Rossignol 201 0.8× 171 1.6× 49 0.6× 96 1.2× 55 1.1× 25 327
Г. В. Константинова 267 1.0× 150 1.4× 54 0.6× 85 1.0× 89 1.8× 39 343
Jonas Tusch 252 1.0× 48 0.4× 57 0.6× 74 0.9× 62 1.2× 22 319
Barry Shaulis 221 0.9× 39 0.4× 50 0.6× 79 1.0× 29 0.6× 30 321
James R. Ebert 220 0.8× 174 1.6× 75 0.9× 89 1.1× 38 0.8× 16 336
Mark A. Jirsa 171 0.7× 72 0.7× 85 1.0× 65 0.8× 53 1.1× 19 268

Countries citing papers authored by S. A. MacLennan

Since Specialization
Citations

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

Fields of papers citing papers by S. A. MacLennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. A. MacLennan

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

All Works

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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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