S. Farry

2.7k total citations
2 papers, 4 citations indexed

About

S. Farry is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, S. Farry has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in S. Farry's work include Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and Medical Imaging Techniques and Applications (1 paper). S. Farry is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and Medical Imaging Techniques and Applications (1 paper). S. Farry collaborates with scholars based in United Kingdom. S. Farry's co-authors include S. Stahl, R. Gauld, M. De Cian and P. Seyfert and has published in prestigious journals such as Physical review. D and CERN Bulletin.

In The Last Decade

S. Farry

2 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name	h					Papers	Cites
S. Farry United Kingdom	2	4	1	1	1	2	4
Mareike Meyer Germany	2	4 1.0×				2	5
R. Salvatico United States	2	4 1.0×				2	4
M. Leuermann Germany	2	4 1.0×				4	4
N. Maragos Greece	2	4 1.0×				3	5
C. Terrevoli Italy	2	4 1.0×				3	4
M. Khader United States	2	4 1.0×				3	4
S. Czekierda Poland	2	4 1.0×				4	5
Ester Anna Rita Casula Italy	2	4 1.0×	1 1.0×			5	4
Camilla Galloni Switzerland	2	4 1.0×		1 1.0×		3	4
Deepika Grover India	3	4 1.0×				3	6

Countries citing papers authored by S. Farry

Since Specialization

Citations

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

Fields of papers citing papers by S. Farry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

Cian, M. De, S. Stahl, P. Seyfert, & S. Farry. (2017). Fast neural-net based fake track rejection in the LHCb reconstruction. CERN Bulletin. 3 indexed citations

2.

Farry, S. & R. Gauld. (2016). LeptonicW±boson asymmetry in association with jets at LHCb and parton distribution function constraints at largex. Physical review. D. 93(1). 1 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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