This map shows the geographic impact of Peter Juslin'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 Juslin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Juslin more than expected).
This network shows the impact of papers produced by Peter Juslin. 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 Juslin. The network helps show where Peter Juslin may publish in the future.
Co-authorship network of co-authors of Peter Juslin
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Juslin.
A scholar is included among the top collaborators of Peter Juslin 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 Juslin. Peter Juslin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lindskog, Marcus, Anders Winman, & Peter Juslin. (2013). Effects of Response and Presentation Format on Measures of Approximate Number System Acuity. Cognitive Science. 35(35). 2908–2913.1 indexed citations
9.
Lindskog, Marcus, Anders Winman, & Peter Juslin. (2013). Is it Time Bayes went Fishing? : Bayesian Probabilistic Reasoning in a Category Learning Task. Cognitive Science. 35(35). 906–911.1 indexed citations
10.
Guath, Mona, et al.. (2013). Is feedforward learning more efficient than feedback learning in smart meters of electricity consumption. eScholarship (California Digital Library). 35(35).1 indexed citations
11.
Juslin, Peter. (2008). Comments: The role of random error in confidence judgment: Reply to Merkle, Sieck, and Van Zandt.. Journal of Behavioral Decision Making. 449–452.2 indexed citations
12.
Karlsson, Linnéa, Lars Nyberg, Peter Juslin, & Henrik Olsson. (2007). Different neural systems underlie multiple-cue judgment depending on the cue-combination rule. Psychological Science.1 indexed citations
13.
Juslin, Peter, et al.. (2005). Non-linear Multiple Cue Judgment tasks. Proceedings of the Annual Meeting of the Cognitive Science Society. 27(27).1 indexed citations
14.
Karlsson, Linnéa, Peter Juslin, & Henrik Olsson. (2004). Representational Shifts in a Multiple-Cue Judgment Task with Continuous Cues. eScholarship (California Digital Library). 26(26).2 indexed citations
15.
Nilsson, Håkan, Peter Juslin, & Henrik Olsson. (2003). From prototypes to exemplars: Representational shifts in a probability judgment task. eScholarship (California Digital Library). 25(25). 868–873.1 indexed citations
16.
Juslin, Peter. (2003). Multiple-cue judgment in individual and dyadic learning. Conference Cognitive Science. 42(25). 40–56.4 indexed citations
17.
Juslin, Peter, Håkan Nilsson, & Henrik Olsson. (2001). Where do probability judgments come from? Evidence for similarity–graded probability. Proceedings of the Annual Meeting of the Cognitive Science Society. 23(23). 471–476.3 indexed citations
18.
Jones, Sari, Peter Juslin, Henrik Olsson, & Anders Winman. (2000). Algorithm, heuristic or exemplar: Processes and representation in multiple-cue judgment. Proceedings of the Annual Meeting of the Cognitive Science Society. 22(22). 244–249.9 indexed citations
19.
Persson, Magnus & Peter Juslin. (2000). Fast and frugal use of cue direction in states of limited knowledge. eScholarship (California Digital Library). 22(22). 841–846.1 indexed citations
20.
Gredebäck, Gustaf, Anders Winman, & Peter Juslin. (2000). Rational Assessments of Covariation and Causality. eScholarship (California Digital Library). 22(22).9 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.