Ran El‐Yaniv

10.5k citations
81 papers · 4.1k · 1 hit paper · h-index 27

Impact in

Papers in

Ran El‐Yaniv

77 papers receiving 3.9k citations

Ran El‐Yaniv's Hit Papers

Online Computation and Competitive Analysis 1998 · 1.7k citations
1.7k0+9+18Years since publication50010001.5k

Peers

Ran El‐Yaniv
Comparison fields: 5 of 145
  • Computer Networks and Communications 2.0k
  • Management Science and Operations Research 924
  • Artificial Intelligence 1.5k
  • Industrial and Manufacturing Engineering 456
  • Computer Graphics and Computer-Aided Design 159
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Citations per year

Countries citing papers authored by Ran El‐Yaniv

Since Specialization
Citations

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

Fields of papers citing papers by Ran El‐Yaniv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran El‐Yaniv. 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 Ran El‐Yaniv. The network helps show where Ran El‐Yaniv may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran El‐Yaniv, 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 Ran El‐Yaniv Line = papers co-authored together Ran El‐Yaniv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Online Computation and Competitive Analysis
Hit paper breakdown →
19981737
2
Distributional word clusters vs. words for text categorization
2003216
3 2001174
4
Online Choice of Active Learning Algorithms
2003152
5 2001148
6
On the Foundations of Noise-free Selective Classification
2010111
7 2001100
8 201699
9 200576
10 199271
11
Deep Anomaly Detection Using Geometric Transformations
201867
12 200765
13
Concept Drift Detection Through Resampling
201460
14 200356
15 200156
16 199952
17 200251
18 199848
19 200747
20 200340

About Ran El‐Yaniv

Ran El‐Yaniv is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing, having authored 81 papers that have together received 4.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (23 papers), Optimization and Search Problems (16 papers), Machine Learning and Data Classification (13 papers), Algorithms and Data Compression (12 papers), Face and Expression Recognition (10 papers), Auction Theory and Applications (10 papers), Neural Networks and Applications (9 papers) and Advanced Bandit Algorithms Research (9 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Management Science and Operations Research (924 citations), Artificial Intelligence (1.5k citations), Industrial and Manufacturing Engineering (456 citations) and Computer Graphics and Computer-Aided Design (159 citations). Ran El‐Yaniv has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Allan Borodin, Ron Bekkerman, Naftali Tishby, Yoad Winter, Richard M. Karp, Dmitry Pechyony, Michael Werman, Ziv Bar‐Joseph, Dani Lischinski and Amos Fiat. Their work appears in journals such as Journal of Machine Learning Research, Journal of Artificial Intelligence Research, Pattern Recognition Letters, Machine Learning and Algorithmica.

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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