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
- Explainable Artificial Intelligence (XAI) 1
- Machine Learning in Healthcare 1
- Text Readability and Simplification 1
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- VLSI and Analog Circuit Testing 1
- Co-authors
- Yoav Levine (3 shared papers)Kevin Leyton‐Brown (3 shared papers)Yoav Shoham (3 shared papers)Amnon Shashua (3 shared papers)Amir Globerson (2 shared papers)Tal Schuster (1 shared paper)Regina Barzilay (1 shared paper)Dor Muhlgay (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)
- Partner nations
- IsraelIndiaUnited States
In The Last Decade
Ori Ram
7 papers receiving 299 citations
Ori Ram's Hit Papers
Peers
Comparison fields: 5 of 66
- Health Informatics 10
- Artificial Intelligence 235
- Computer Vision and Pattern Recognition 73
- Hardware and Architecture 10
- Information Systems 31
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 | 151 |
| 2 | 2019 | 91 | |
| 3 | 2022 | 28 | |
| 4 | 2023 | 24 | |
| 5 | 2020 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 3 |
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 319 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Low-power high-performance VLSI design (1 paper), Semiconductor materials and devices (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Machine Learning in Healthcare (1 paper), VLSI and Analog Circuit Testing (1 paper) and Text Readability and Simplification (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (235 citations), Computer Vision and Pattern Recognition (73 citations), Hardware and Architecture (10 citations) and Information Systems (31 citations). Ori Ram has collaborated with scholars based in Israel, India and United States. Frequent co-authors include Yoav Levine, Kevin Leyton‐Brown, Yoav Shoham, Amnon Shashua, Amir Globerson, Tal Schuster, Regina Barzilay, Dor Muhlgay, Itay Dalmedigos and Omer Levy. Their work appears in journals such as Transactions of the Association for Computational Linguistics and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.