Stephan Linn

1.1k total citations
2 papers, 11 citations indexed

About

Stephan Linn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics. According to data from OpenAlex, Stephan Linn has authored 2 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Nuclear and High Energy Physics. Recurrent topics in Stephan Linn's work include Computational Physics and Python Applications (2 papers), Image and Signal Denoising Methods (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). Stephan Linn is often cited by papers focused on Computational Physics and Python Applications (2 papers), Image and Signal Denoising Methods (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). Stephan Linn collaborates with scholars based in United States. Stephan Linn's co-authors include B. Denby and has published in prestigious journals such as Computer Physics Communications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Stephan Linn

2 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan Linn United States	2	6	3	2	2	2	2	11
Roberto Dell’Orso Italy	1	3 0.5×	3 1.0×				3	5
B. Brandl France	2	5 0.8×	6 2.0×		1 0.5×		4	13
ÖZTÜREL Adnan United States	2	4 0.7×		2 1.0×			5	6
P. Ribarics Germany	2	3 0.5×	4 1.3×		1 0.5×		6	8
U. Behrens Germany	2	5 0.8×	1 0.3×				2	9
S. Francescato Switzerland	1	5 0.8×	2 0.7×		2 1.0×		2	7
L. Teodorescu Italy	2	3 0.5×	4 1.3×		1 0.5×		5	7
N. Gollub Sweden	2	3 0.5×	4 1.3×				2	7
Gilles Berger-Sabbatel	2	4 0.7×					2	4
V. Rusu United States	2	4 0.7×	5 1.7×				2	7

Countries citing papers authored by Stephan Linn

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Linn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Linn

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

Linn, Stephan. (1990). A method for fast electromagnetic shower simulation in the Geant Monte Carlo program. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 288(2-3). 598–602. 1 indexed citations

2.

Denby, B. & Stephan Linn. (1990). Spatial pattern recognition in a high energy particle detector using a neural network algorithm. Computer Physics Communications. 56(3). 293–297. 10 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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