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.
Countries citing papers authored by Michael D. Ekstrand
Since
Specialization
Citations
This map shows the geographic impact of Michael D. Ekstrand'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 Michael D. Ekstrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Ekstrand more than expected).
Fields of papers citing papers by Michael D. Ekstrand
This network shows the impact of papers produced by Michael D. Ekstrand. 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 Michael D. Ekstrand. The network helps show where Michael D. Ekstrand may publish in the future.
Co-authorship network of co-authors of Michael D. Ekstrand
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Ekstrand.
A scholar is included among the top collaborators of Michael D. Ekstrand 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 Michael D. Ekstrand. Michael D. Ekstrand is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Green, Michael, et al.. (2019). StoryTime. 544–545.9 indexed citations
10.
Ekstrand, Michael D., et al.. (2018). Retrieving and Recommending for the Classroom: Stakeholders, Objectives, Resources, and Users. Scholar Works (Boise State University).4 indexed citations
11.
Ekstrand, Michael D., et al.. (2017). Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation. Scholar Works (Boise State University). 639–644.1 indexed citations
12.
Ekstrand, Michael D. & Maria Soledad Pera. (2017). The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users.. Conference on Recommender Systems.1 indexed citations
13.
Ekstrand, Michael D., et al.. (2017). Recommender Response to Diversity and Popularity Bias in User Profiles. Scholar Works (Boise State University). 657–660.5 indexed citations
Ekstrand, Michael D., et al.. (2016). First Do No Harm: Considering and Minimizing Harm in Recommender Systems Designed for Engendering Health.7 indexed citations
16.
Ekstrand, Michael D. & Martijn C. Willemsen. (2016). Behaviorism is Not Enough. TU/e Research Portal. 221–224.65 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.