Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
PYTHIA 6.4 physics and manual
20063.5k citationsTorbjörn Sjöstrand, S. Mrenna et al.Journal of High Energy Physicsprofile →
An introduction to PYTHIA 8.2
20152.0k citationsTorbjörn Sjöstrand, Nishita Desai et al.Computer Physics Communicationsprofile →
A brief introduction to PYTHIA 8.1
20081.8k citationsTorbjörn Sjöstrand, S. Mrenna et al.Computer Physics Communicationsprofile →
A comprehensive guide to the physics and usage of PYTHIA 8.3
2022403 citationsChristian Bierlich, Smita Chakraborty et al.Jyväskylä University Digital Archive (University of Jyväskylä)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Peter Skands'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 Peter Skands with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Skands more than expected).
This network shows the impact of papers produced by Peter Skands. 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 Peter Skands. The network helps show where Peter Skands may publish in the future.
Co-authorship network of co-authors of Peter Skands
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Skands.
A scholar is included among the top collaborators of Peter Skands 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 Peter Skands. Peter Skands is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bierlich, Christian, Smita Chakraborty, Nishita Desai, et al.. (2022). Codebase release 8.3 for PYTHIA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).13 indexed citations
Bierlich, Christian, Smita Chakraborty, Nishita Desai, et al.. (2022). A comprehensive guide to the physics and usage of PYTHIA 8.3. Jyväskylä University Digital Archive (University of Jyväskylä).403 indexed citations breakdown →
d’Enterria, D. & Peter Skands. (2017). QCD studies at FCC-ee. 1156–1156.1 indexed citations
14.
Fischer, Nadine, Stefan Gieseke, Simon Plätzer, & Peter Skands. (2014). Revisiting radiation patterns in $e^+e^-$ $e^+ e^-$ collisions. DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron).6 indexed citations
15.
Giele, Walter T., et al.. (2013). The Vincia parton shower. CERN Document Server (European Organization for Nuclear Research).1 indexed citations
16.
Skands, Peter. (2009). The Perugia Tunes. Presented at. 284–297.
17.
Sjöstrand, Torbjörn, S. Mrenna, & Peter Skands. (2008). A brief introduction to PYTHIA 8.1. Computer Physics Communications. 178(11). 852–867.1833 indexed citations breakdown →
18.
Carena, Marcela, Dan Hooper, & Peter Skands. (2006). Implications of Direct Dark Matter Searches for MSSM Higgs Searches at the Tevatron. arXiv (Cornell University).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.