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 Micheline Kamber
Since
Specialization
Citations
This map shows the geographic impact of Micheline Kamber'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 Micheline Kamber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micheline Kamber more than expected).
Fields of papers citing papers by Micheline Kamber
This network shows the impact of papers produced by Micheline Kamber. 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 Micheline Kamber. The network helps show where Micheline Kamber may publish in the future.
Co-authorship network of co-authors of Micheline Kamber
This figure shows the co-authorship network connecting the top 25 collaborators of Micheline Kamber.
A scholar is included among the top collaborators of Micheline Kamber 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 Micheline Kamber. Micheline Kamber is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Han, Jiawei, Micheline Kamber, & Ari Visa. (2010). Data Mining: Concepts and Techniques — Slides for Textbook — — Chapter 2 —.3 indexed citations
7.
Chakrabarti, Soumen, Earl Cox, Eibe Frank, et al.. (2008). Data Mining: Know It All. CERN Document Server (European Organization for Nuclear Research).43 indexed citations
Han, Jiawei, Jenny Y. Chiang, Jianping Chen, et al.. (1997). DBMiner: a system for data mining in relational databases and data warehouses. Conference of the Centre for Advanced Studies on Collaborative Research. 8.34 indexed citations
13.
Kamber, Micheline, Jiawei Han, & Jenny Y. Chiang. (1997). Metarule-Guided Mining of Multi-Dimensional Association RulesUsing Data Cubes. Knowledge Discovery and Data Mining. 207–210.138 indexed citations
14.
Kamber, Micheline & Rajjan Shinghal. (1996). Evaluating the interestingness of characteristic rules. Knowledge Discovery and Data Mining. 263–266.54 indexed citations
15.
Kamber, Micheline & Rajjan Shinghal. (1996). Proposed interestingness measure for characteristic rules. National Conference on Artificial Intelligence. 1393–1393.3 indexed citations
Kamber, Micheline, Rajjan Shinghal, D. Louis Collins, Gordon Francis, & Alan C. Evans. (1995). Model-Based 3-D Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Brain.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.