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.
Context‐Aware Recommender Systems
2011850 citationsGediminas Adomavičius, Bamshad Mobasher et al.AI Magazineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Alex Tuzhilin'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 Alex Tuzhilin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Tuzhilin more than expected).
This network shows the impact of papers produced by Alex Tuzhilin. 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 Alex Tuzhilin. The network helps show where Alex Tuzhilin may publish in the future.
Co-authorship network of co-authors of Alex Tuzhilin
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Tuzhilin.
A scholar is included among the top collaborators of Alex Tuzhilin 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 Alex Tuzhilin. Alex Tuzhilin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
9 of 9 papers shown
1.
Dzyabura, Daria & Alex Tuzhilin. (2013). Not by search alone. 371–374.3 indexed citations
2.
Adomavičius, Gediminas, Bamshad Mobasher, Francesco Ricci⋆, & Alex Tuzhilin. (2011). Context‐Aware Recommender Systems. AI Magazine. 32(3). 67–80.850 indexed citations breakdown →
3.
Bergman, Lawrence D., Alex Tuzhilin, Robin Burke, Alexander Felfernig, & Lars Schmidt-Thieme. (2008). Proceedings of the third ACM conference on Recommender systems. Conference on Recommender Systems.6 indexed citations
4.
Tuzhilin, Alex & Yehuda Koren. (2008). Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition.4 indexed citations
5.
Wu, Xindong, Alex Tuzhilin, & Jude Shavlik. (2003). Proceedings, Third IEEE International Conference on Data Mining, ICDM 2003, 19-22 November 2003, Melbourne, Florida.1 indexed citations
6.
Tuzhilin, Alex. (1998). The E-Butler Service, or Has the Age of Electronic Personal Decision Making Assistants Arrived?. SSRN Electronic Journal.3 indexed citations
Clifford, James, Vasant Dhar, & Alex Tuzhilin. (1995). KNOWLEDGE DISCOVERY FROM DATABASES: THE NYU PROJECT. The Faculty Digital Archive (New York University).1 indexed citations
9.
Tuzhilin, Alex. (1991). TEMPORALLY ACTIVE DATABASES := ACTIVE DATABASES + TIME. The Faculty Digital Archive (New York University).1 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.