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.
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
20181.1k citationsEric Schulz, Maarten Speekenbrink et al.profile →
This map shows the geographic impact of Eric Schulz'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 Eric Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Schulz more than expected).
This network shows the impact of papers produced by Eric Schulz. 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 Eric Schulz. The network helps show where Eric Schulz may publish in the future.
Co-authorship network of co-authors of Eric Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Schulz.
A scholar is included among the top collaborators of Eric Schulz 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 Eric Schulz. Eric Schulz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schulz, Eric, Charley M. Wu, Quentin J. M. Huys, Andreas Krause, & Maarten Speekenbrink. (2018). Generalization and Search in Risky Environments. Cognitive Science. 42(8). 2592–2620.16 indexed citations
13.
Bramley, Neil R, Eric Schulz, Fei Xu, & Joshua B. Tenenbaum. (2018). Learning as program induction. PsyArXiv (OSF Preprints).2 indexed citations
Schulz, Eric, et al.. (2015). Active learning as a means to distinguish among prominent decision strategies. Cognitive Science. 1829–1834.3 indexed citations
17.
Schulz, Eric, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, & Samuel J. Gershman. (2015). Assessing the perceived predictability of functions. Cognitive Science. 2116–2121.12 indexed citations
18.
Schulz, Eric, Maarten Speekenbrink, & David R. Shanks. (2014). Predict choice: A comparison of 21 mathematical models. eScholarship (California Digital Library). 36(36). 2889–2894.3 indexed citations
19.
Schulz, Eric, et al.. (2011). Human resource professionals' perceptions of interviewer training. Journal of managerial issues. 23(3). 250.6 indexed citations
20.
Schulz, Eric, et al.. (2008). Incremental effectiveness of two key IT recruitment methods. Journal of managerial issues. 20(2). 195.7 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.