Ori Ram

743 total citations · 1 hit paper
7 papers, 319 citations indexed

About

Ori Ram is a scholar working on Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Ori Ram has authored 7 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Hardware and Architecture and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Ori Ram's work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Low-power high-performance VLSI design (1 paper). Ori Ram is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Low-power high-performance VLSI design (1 paper). Ori Ram collaborates with scholars based in Israel, India and United States. Ori Ram's co-authors include Amnon Shashua, Yoav Shoham, Amir Globerson, Yoav Levine, Kevin Leyton‐Brown, Regina Barzilay, Tal Schuster, Dor Muhlgay, Itay Dalmedigos and Sneh Saurabh and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Transactions of the Association for Computational Linguistics.

In The Last Decade

Ori Ram

7 papers receiving 299 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In-Context Retrieval-Augmented Language Models

2023 151 citations Ori Ram, Yoav Levine et al. Transactions of the Association for Computational Linguistics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ori Ram Israel	6	235	73	31	13	11	7	319
Shreya Shankar United States	8	104 0.4×	61 0.8×	23 0.7×	13 1.0×	13 1.2×	16	212
Niklas Muennighoff United States	6	302 1.3×	55 0.8×	37 1.2×	5 0.4×	10 0.9×	8	379
Shitao Xiao China	9	184 0.8×	89 1.2×	68 2.2×	12 0.9×	17 1.5×	24	299
Samuel Weinbach United States	2	176 0.7×	31 0.4×	42 1.4×	5 0.4×	14 1.3×	2	236
Yeganeh Kordi United States	1	191 0.8×	43 0.6×	39 1.3×	8 0.6×	13 1.2×	2	269
Leo Gao Canada	4	359 1.5×	68 0.9×	94 3.0×	9 0.7×	27 2.5×	4	469
Yutai Hou China	10	465 2.0×	106 1.5×	69 2.2×	10 0.8×	14 1.3×	16	570
Ximing Lu United States	10	470 2.0×	131 1.8×	42 1.4×	5 0.4×	5 0.5×	28	555
Christopher Akiki Germany	4	133 0.6×	21 0.3×	14 0.5×	6 0.5×	7 0.6×	10	201
Weiqiang Jin China	9	221 0.9×	50 0.7×	44 1.4×	11 0.8×	10 0.9×	25	336

Countries citing papers authored by Ori Ram

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ori Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Ori Ram. A scholar is included among the top collaborators of Ori Ram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ori Ram. Ori Ram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Muhlgay, Dor, Ori Ram, Yoav Levine, et al.. (2024). Generating Benchmarks for Factuality Evaluation of Language Models. 49–66. 3 indexed citations

2.

Ram, Ori, Yoav Levine, Itay Dalmedigos, et al.. (2023). In-Context Retrieval-Augmented Language Models. Transactions of the Association for Computational Linguistics. 11. 1316–1331. 151 indexed citations breakdown →

3.

Levine, Yoav, Yonatan Belinkov, Ori Ram, et al.. (2023). Parallel Context Windows for Large Language Models. 6383–6402. 24 indexed citations

4.

Ram, Ori, et al.. (2023). What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. 10 indexed citations

5.

Ram, Ori, et al.. (2022). Transformer Language Models without Positional Encodings Still Learn Positional Information. 1382–1390. 28 indexed citations

6.

Ram, Ori & Sneh Saurabh. (2020). Modeling Multiple-Input Switching in Timing Analysis Using Machine Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(4). 723–734. 12 indexed citations

7.

Schuster, Tal, Ori Ram, Regina Barzilay, & Amir Globerson. (2019). Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. 1599–1613. 91 indexed citations

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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