Jan Stark

887 total citations
2 papers, 13 citations indexed

About

Jan Stark is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Infectious Diseases. According to data from OpenAlex, Jan Stark has authored 2 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Astronomy and Astrophysics and 0 papers in Infectious Diseases. Recurrent topics in Jan Stark's work include Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and High-Energy Particle Collisions Research (1 paper). Jan Stark is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and High-Energy Particle Collisions Research (1 paper). Jan Stark collaborates with scholars based in France and United States. Jan Stark's co-authors include A. Kotwal, C. Biscarat, Jad Zahreddine and C. Rougier and has published in prestigious journals such as Annual Review of Nuclear and Particle Science and Springer Link (Chiba Institute of Technology).

In The Last Decade

Jan Stark

2 papers receiving 13 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Stark France	2	9	7	1	1	1	2	13
Georgia Karapostoli Norway	2	9 1.0×	6 0.9×	1 1.0×			3	12
Louis Vaslin France	2	10 1.1×	6 0.9×		1 1.0×		2	10
W. Ketchum United States	2	6 0.7×	5 0.7×	1 1.0×			4	10
Natascha Krammer Austria	2	8 0.9×	4 0.6×				6	9
Ho Fung Tsoi United States	3	7 0.8×	9 1.3×	1 1.0×			3	17
M. Nguyen United States	2	13 1.4×	4 0.6×		1 1.0×		2	15
Janik Walter Andrejkovic Armenia	2	12 1.3×	4 0.6×	1 1.0×			4	12
S. Brochet Belgium	2	17 1.9×	5 0.7×	1 1.0×			2	17
S. Wertz Belgium	2	17 1.9×	5 0.7×	1 1.0×			2	17
A. Saggio Belgium	2	17 1.9×	5 0.7×	1 1.0×			3	17

Countries citing papers authored by Jan Stark

Since Specialization

Citations

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

Fields of papers citing papers by Jan Stark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Stark

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

Biscarat, C., et al.. (2021). Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC. Springer Link (Chiba Institute of Technology). 8 indexed citations

2.

Kotwal, A. & Jan Stark. (2008). Measurement of the W Boson Mass at the Tevatron. Annual Review of Nuclear and Particle Science. 58(1). 147–175. 5 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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