Eran Malach

659 citations
3 papers · 97 · h-index 2

Impact in

    • Machine Learning and Data Classification
    • Domain Adaptation and Few-Shot Learning
    • Machine Learning and Algorithms
    • Adversarial Robustness in Machine Learning
    • Topic Modeling
    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques

Papers in

Journals
Neural Information Processing Systems (2 papers)International Conference on Machine Learning (1 paper)
Partner nations
Israel

In The Last Decade

Eran Malach

3 papers receiving 87 citations

Peers

Eran Malach
Comparison fields: 5 of 21
  • Artificial Intelligence 84
  • Computer Vision and Pattern Recognition 52
  • Computational Mathematics 1
  • Industrial and Manufacturing Engineering 8
  • Signal Processing 5
Replace Sukmin Yun with:
Sukmin Yun South Korea
Shang‐Yu Su Taiwan
Shagun Sodhani Canada
Anwen Hu China
Jiri Hron United Kingdom
Chinnadhurai Sankar United States
Davide Testuggine United States
Yinpei Dai China
Antoine Yang France
Carlos Lassance France
Eran Malach relative to Sukmin Yun South Korea Sukmin Yun's profile →
Citations per field
00.5×6.1×
Sukmin Yun · 1×
Citations per year

Countries citing papers authored by Eran Malach

Since Specialization
Citations

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

Fields of papers citing papers by Eran Malach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Eran Malach, 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 Eran Malach Line = papers co-authored together Eran Malach links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Decoupling "when to update" from "how to update"
201788
2
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
20208
3
The Implications of Local Correlation on Learning Some Deep Functions
20201

About Eran Malach

Eran Malach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Economics and Econometrics, Developmental and Educational Psychology and Infectious Diseases, having authored 3 papers that have together received 97 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (1 paper), Face and Expression Recognition (1 paper), Machine Learning and Algorithms (1 paper), Educational Games and Gamification (1 paper), Artificial Intelligence in Games (1 paper), Stochastic Gradient Optimization Techniques (1 paper), Neural Networks and Applications (1 paper) and Sports Analytics and Performance (1 paper). The work is most often cited by research in Artificial Intelligence (84 citations), Computer Vision and Pattern Recognition (52 citations), Computational Mathematics (1 citation), Industrial and Manufacturing Engineering (8 citations) and Signal Processing (5 citations). Eran Malach has collaborated with scholars based in Israel. Frequent co-authors include Shai Shalev‐Shwartz and Ohad Shamir. Their work appears in journals such as Neural Information Processing Systems and International Conference on Machine Learning.

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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