Avia Efrat

860 citations
6 papers · 64 · h-index 4

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • Text Readability and Simplification
    • Advanced Text Analysis Techniques
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques

Papers in

    • Topic Modeling 5
    • Natural Language Processing Techniques 5
    • Text Readability and Simplification 3
    • Advanced Text Analysis Techniques 1
    • Algorithms and Data Compression 1
Journals
arXiv (Cornell University) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
Partner nations
IsraelUnited States

In The Last Decade

Avia Efrat

6 papers receiving 60 citations

Peers

Avia Efrat
Comparison fields: 5 of 19
  • Artificial Intelligence 45
  • Computer Vision and Pattern Recognition 14
  • Software 2
  • Management Science and Operations Research 2
  • Information Systems 3
Replace Jaehong Yoon with:
Jaehong Yoon United States
Abhinav Ramesh Kashyap Singapore
Shima Asaadi Germany
Tri Dao United States
Vaishnavh Nagarajan United States
William H. Guss United States
Yin Fang China
Mukund Sridhar United States
Behrooz Ghorbani United States
Luoxin Chen United States
Avia Efrat relative to Jaehong Yoon United States Jaehong Yoon's profile →
Citations per field
00.5×1.5×2×
Jaehong Yoon · 1×
Citations per year

Countries citing papers authored by Avia Efrat

Since Specialization
Citations

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

Fields of papers citing papers by Avia Efrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Avia Efrat, 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 Avia Efrat Line = papers co-authored together Avia Efrat links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202230
2 20239
3 20239
4 20239
5 20214
6 20203

About Avia Efrat

Avia Efrat is a scholar working on Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment, Obstetrics and Gynecology and Anesthesiology and Pain Medicine, having authored 6 papers that have together received 64 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers), Text Readability and Simplification (3 papers), Advanced Text Analysis Techniques (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Artificial Intelligence (45 citations), Computer Vision and Pattern Recognition (14 citations), Software (2 citations), Management Science and Operations Research (2 citations) and Information Systems (3 citations). Avia Efrat has collaborated with scholars based in Israel and United States. Frequent co-authors include Omer Levy, Uri Shaham, Jonathan Berant, Wenhan Xiong, Ankit Gupta, Elad Segal, Mor Geva, Or Honovich, Yuning Mao and Amir Globerson. Their work appears in journals such as arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

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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