Ori Ram
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 4
- Text Readability and Simplification 1
- Machine Learning in Healthcare 1
- Explainable Artificial Intelligence (XAI) 1
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- VLSI and Analog Circuit Testing 1
- Co-authors
- Amnon Shashua (3 shared papers)Yoav Levine (3 shared papers)Yoav Shoham (3 shared papers)Kevin Leyton‐Brown (3 shared papers)Dor Muhlgay (2 shared papers)Amir Globerson (2 shared papers)Itay Dalmedigos (1 shared paper)Regina Barzilay (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Ori Ram
7 papers receiving 331 citations
Ori Ram's Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 239
- Health Informatics 9
- Computer Vision and Pattern Recognition 77
- Software 6
- Hardware and Architecture 10
Countries citing papers authored by Ori Ram
This map shows the geographic impact of Ori Ram'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 Ori Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ori Ram more than expected).
Fields of papers citing papers by Ori Ram
This network shows the impact of papers produced by Ori Ram. 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 Ori Ram. The network helps show where Ori Ram may publish in the future.
Co-authors
The 15 scholars most cited alongside Ori Ram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | In-Context Retrieval-Augmented Language Models Hit paper breakdown → | 2023 | 169 |
| 2 | 2019 | 93 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 25 | |
| 5 | 2020 | 14 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 7 |
About Ori Ram
Ori Ram is a scholar working on Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 349 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Text Readability and Simplification (1 paper), Low-power high-performance VLSI design (1 paper), VLSI and Analog Circuit Testing (1 paper), Machine Learning in Healthcare (1 paper), Semiconductor materials and devices (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Artificial Intelligence (239 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (77 citations), Software (6 citations) and Hardware and Architecture (10 citations). Ori Ram has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Amnon Shashua, Yoav Levine, Yoav Shoham, Kevin Leyton‐Brown, Dor Muhlgay, Amir Globerson, Itay Dalmedigos, Regina Barzilay, Tal Schuster and Sneh Saurabh. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Transactions of the Association for Computational Linguistics.
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.