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.
From sequences to shapes and back: a case study in RNA secondary structures
Countries citing papers authored by Peter Schuster
Since
Specialization
Citations
This map shows the geographic impact of Peter Schuster'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 Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schuster more than expected).
This network shows the impact of papers produced by Peter Schuster. 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 Schuster. The network helps show where Peter Schuster may publish in the future.
Co-authorship network of co-authors of Peter Schuster
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schuster.
A scholar is included among the top collaborators of Peter Schuster 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 Schuster. Peter Schuster is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Domingo, Esteban, Peter Schuster, Santiago F. Elena, & Celia Perales. (2023). Viral Fitness and Evolution. Current topics in microbiology and immunology.4 indexed citations
Schuster, Peter & Peter Clarke. (2010). Transfer Prices: Functions, Types, and Behavioral Implications. Management accounting quarterly. 11(2). 22.5 indexed citations
Schuster, Peter & Vincent O’Connell. (2006). The Trend toward Voluntary Corporate Disclosures. Management accounting quarterly. 7(2). 1.42 indexed citations
9.
Schuster, Peter & Vincent O’Connell. (2006). The Trend toward Voluntary Corporate Disclosures: Voluntary Disclosures Are of Growing Importance in Today's Capital Markets. but What Information Is Reported? How Is This Information Reported? and What Are the Benefits and Problems Associated with These Voluntary Disclosures?. Management accounting quarterly. 7(2). 1.6 indexed citations
10.
Bridges, Douglas, et al.. (2005). Products in the category of apartness spaces. French digital mathematics library (Numdam). 46(2). 139–153.1 indexed citations
Palmgren, Erik & Peter Schuster. (2004). Apartness and formal topology. 1–8.4 indexed citations
14.
Schuster, Peter, et al.. (2001). Reuniting the antipodes-constructive and nonstandard views of the continuum : symposium proceedings, San Servolo, Venice, Italy, May 16-22, 1999. Kluwer Academic eBooks.1 indexed citations
15.
Vos, Ad, Thomas Müller, Peter Schuster, Hartmut Schlüter, & Andreas Neubert. (2000). Oral vaccination of foxes against rabies with SAD B19 in Europe, 1983-1988: a review.. 70(1). 1–6.24 indexed citations
16.
Bridges, Douglas, Hajime Ishihara, & Peter Schuster. (1999). Sequential compactness in constructive analysis.2 indexed citations
17.
Schuster, Peter. (1999). How do RNA molecules and viruses explore their worlds. Complexity. 383–418.7 indexed citations
18.
Bridges, Douglas, Fred Richman, & Peter Schuster. (1997). Adjoints, Absolute Values and Polar Decompositions.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.