S. Palmer

1.1k total citations
2 papers, 9 citations indexed

About

S. Palmer is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, S. Palmer has authored 2 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in S. Palmer's work include Particle physics theoretical and experimental studies (2 papers), Dark Matter and Cosmic Phenomena (2 papers) and High-Energy Particle Collisions Research (1 paper). S. Palmer is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Dark Matter and Cosmic Phenomena (2 papers) and High-Energy Particle Collisions Research (1 paper). S. Palmer collaborates with scholars based in India, Italy and Germany. S. Palmer's co-authors include Martin Wiebusch, Karina Williams, Tathagata Ghosh, Pearl Sandick, Bhaskar Dutta, Patrick Stengel, Joel W. Walker and Jason Kumar and has published in prestigious journals such as Physical review. D and The European Physical Journal C.

In The Last Decade

S. Palmer

2 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h				Papers	Cites
S. Palmer India	2	9	1	1	2	9
Z. Ajaltouni United Kingdom	2	9 1.0×			2	9
D. Cianci United Kingdom	1	9 1.0×			2	9
I. Vorobyev Germany	2	10 1.1×	1 1.0×		4	11
F. Harms Germany	3	9 1.0×		1 1.0×	3	11
I. Polyakov Italy	2	9 1.0×			4	12
J. R. Hoskins United States	2	10 1.1×			2	12
S. Akar Netherlands	2	10 1.1×			2	10
D. Navas-Nicolás Japan	2	10 1.1×			2	10
S. Puławski Poland	3	10 1.1×		1 1.0×	7	11
J. W. Seo South Korea	2	8 0.9×			6	9

Countries citing papers authored by S. Palmer

Since Specialization

Citations

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

Fields of papers citing papers by S. Palmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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2 of 2 papers shown

1.

Dutta, Bhaskar, Tathagata Ghosh, Jason Kumar, et al.. (2024). Machine learning techniques for intermediate mass gap lepton partner searches at the large hadron collider. Physical review. D. 109(7). 1 indexed citations

2.

Palmer, S., et al.. (2013). Heavy MSSM Higgs production at the LHC and decays to WW , ZZ at higher orders. The European Physical Journal C. 73(3). 8 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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