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 Hahsler
Since
Specialization
Citations
This map shows the geographic impact of Michael Hahsler'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 Hahsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hahsler more than expected).
This network shows the impact of papers produced by Michael Hahsler. 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 Hahsler. The network helps show where Michael Hahsler may publish in the future.
Co-authorship network of co-authors of Michael Hahsler
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hahsler.
A scholar is included among the top collaborators of Michael Hahsler 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 Hahsler. Michael Hahsler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hahsler, Michael, et al.. (2011). The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. Journal of Machine Learning Research. 12(57). 2021–2025.99 indexed citations
11.
Yu, Shuanghe, et al.. (2011). Learning a Prediction Interval Model for Hurricane Intensities.1 indexed citations
Dunham, Margaret H., Michael Hahsler, & Myra Spiliopoulou. (2010). Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques. Knowledge Discovery and Data Mining.1 indexed citations
14.
Hahsler, Michael, et al.. (2008). A REVIEW OF METHODS FOR MEASURING WILLINGNESS-TO-PAY. SHILAP Revista de lepidopterología.345 indexed citations
Hahsler, Michael. (2003). Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges. Journal of Digital Information Management. 1(4). 162–171.1 indexed citations
17.
Geyer-Schulz, Andreas & Michael Hahsler. (2003). Comparing two recommender algorithms with the help of recommendations by peers. Lecture notes in computer science. 137–158.7 indexed citations
18.
Geyer-Schulz, Andreas, et al.. (2001). Educational and scientific recommender systems: Designing the information channels of the virtual university. International journal of engineering education. 17(2). 153–163.18 indexed citations
19.
Geyer-Schulz, Andreas, et al.. (2001). A Customer Purchase Incidence Model Applied to Recommender Services.1 indexed citations
20.
Hahsler, Michael & Bernd Simon. (2000). User-Centered Navigation Re-Design for Web- Based Information Systems. Journal of the Association for Information Systems.3 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.