Yehuda Koren

65 papers receiving 17.3k citations

Hit Papers

Collaborative filtering with temporal dynamics 2010 · 546 citations
54620072026201320192.0k4.0k6.0k

Peers

Yehuda Koren
Comparison fields: 5 of 167
  • Computational Mathematics 387
  • Information Systems 13.7k
  • Artificial Intelligence 8.6k
  • Computer Vision and Pattern Recognition 5.3k
  • Management Science and Operations Research 3.2k
Replace Michael R. Lyu with:
Michael R. Lyu Hong Kong
Gediminas Adomavičius United States
John Riedl United States
Irwin King Hong Kong
Alexander Tuzhilin United States
Yong Yu China
Prabhakar Raghavan United States
Zibin Zheng China
Xiangnan He China
Tat‐Seng Chua Singapore
Yehuda Koren relative to Michael R. Lyu Hong Kong Michael R. Lyu's profile →
Citations per field
00.5×2.9×
Michael R. Lyu · 1×
Citations per year

Countries citing papers authored by Yehuda Koren

Since Specialization
Citations

This map shows the geographic impact of Yehuda Koren'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 Yehuda Koren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yehuda Koren more than expected).

Fields of papers citing papers by Yehuda Koren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yehuda Koren. 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 Yehuda Koren. The network helps show where Yehuda Koren may publish in the future.

Co-authors

The 25 scholars most cited alongside Yehuda Koren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yehuda Koren Line = papers co-authored together Yehuda Koren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The Yahoo! Music Dataset and KDD-Cup'11
2011152
2 201125
3 201197
4
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
201011
5
1 The BellKor Solution to the Netflix Grand Prize
2009197
6
Matrix Factorization Techniques for Recommender Systems
Hit paper breakdown →
20097025
7
Collaborative Filtering for Implicit Feedback Datasets
Hit paper breakdown →
20081945
8
Factorization meets the neighborhood
20089
9 200812
10 2007306
11 200662
12 200620
13 200683
14
MENGELE AND THE FAMILY OF DWARFS
20051
15 200593
16 200571
17 20055
18 200416
19 200423
20 2004106

About Yehuda Koren

Yehuda Koren is a scholar working on Computer Graphics and Computer-Aided Design, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Marketing, having authored 69 papers that have together received 18.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (30 papers), Data Visualization and Analytics (21 papers), Topological and Geometric Data Analysis (13 papers), Data Management and Algorithms (11 papers), Advanced Bandit Algorithms Research (9 papers), Consumer Market Behavior and Pricing (8 papers), Computer Graphics and Visualization Techniques (8 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computational Mathematics (387 citations), Information Systems (13.7k citations), Artificial Intelligence (8.6k citations), Computer Vision and Pattern Recognition (5.3k citations) and Management Science and Operations Research (3.2k citations). Yehuda Koren has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Chris Volinsky, Robert Bell, Yifan Hu, Robert M. Bell, Roberto Turrin, Paolo Cremonesi, David Harel, Gideon Dror, Liran Carmel and Noam Koenigstein. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Graph Algorithms and Applications, ACM Transactions on Knowledge Discovery from Data, Israel Affairs and Multiscale Modeling and Simulation.

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.

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