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.
Dendritic growth-A test of theory
1976341 citationsM. E. Glicksman, Robert Schaefer et al.Metallurgical Transactions Aprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Robert Schaefer
Since
Specialization
Citations
This map shows the geographic impact of Robert Schaefer'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 Robert Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Schaefer more than expected).
This network shows the impact of papers produced by Robert Schaefer. 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 Robert Schaefer. The network helps show where Robert Schaefer may publish in the future.
Co-authorship network of co-authors of Robert Schaefer
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Schaefer.
A scholar is included among the top collaborators of Robert Schaefer 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 Robert Schaefer. Robert Schaefer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schaefer, Robert, et al.. (2012). Global Impact Balancing in the Hierarchic Genetic Search. Computing and Informatics / Computers and Artificial Intelligence. 28(2). 181–193.7 indexed citations
4.
Schaefer, Robert, Aleksander Byrski, & Maciej Smółka. (2012). The island model as a Markov dynamic system. International Journal of Applied Mathematics and Computer Science. 22(4). 971–984.13 indexed citations
5.
Schaefer, Robert, Aleksander Byrski, Joanna Kołodziej, & Maciej Smółka. (2012). An agent-based model of hierarchic genetic search. Computers & Mathematics with Applications. 64(12). 3763–3776.13 indexed citations
Schaefer, Robert, et al.. (2008). Asymptotic guarantee of success of the hp-HGS strategy. 189–196.2 indexed citations
8.
Schaefer, Robert, et al.. (2007). Twin adaptive scheme for solving inverse problems. 241–249.3 indexed citations
9.
Schaefer, Robert, et al.. (2006). Architectural principles and scheduling strategies for computing agent systems. 71(1). 15–26.6 indexed citations
10.
Kołodziej, Joanna, Robert Schaefer, & Anna Paszyńska. (2004). Hierarchical genetic computation in optimal design. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 42(3). 519–538.3 indexed citations
Bendersky, Leonid A. & Robert Schaefer. (1986). Formation of quasicrystals. Physica A Statistical Mechanics and its Applications. 140(1-2). 298–305.7 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.