Ofir Press

1.0k total citations · 1 hit paper
6 papers, 321 citations indexed

About

Ofir Press is a scholar working on Artificial Intelligence, Organic Chemistry and Computer Networks and Communications. According to data from OpenAlex, Ofir Press has authored 6 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Organic Chemistry and 1 paper in Computer Networks and Communications. Recurrent topics in Ofir Press's work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Additive Manufacturing and 3D Printing Technologies (1 paper). Ofir Press is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Additive Manufacturing and 3D Printing Technologies (1 paper). Ofir Press collaborates with scholars based in United States, Israel and Italy. Ofir Press's co-authors include Shlomo Magdassi, Ido Cooperstein, Alexander Kamyshny, Sewon Min, Michael Lewis, Ludwig Schmidt, Noah A. Smith, Doron Shabat, Nir Hananya and Ori Ram and has published in prestigious journals such as ACS Applied Materials & Interfaces and Chemistry - A European Journal.

In The Last Decade

Ofir Press

5 papers receiving 314 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.

Measuring and Narrowing the Compositionality Gap in Language Models

2023 113 citations Ofir Press, Sewon Min et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ofir Press United States	5	120	93	64	45	37	6	321
Xinjie Zhou China	12	259 2.2×	31 0.3×	39 0.6×	36 0.8×	22 0.6×	33	619
Lingjun Zhu United States	12	41 0.3×	161 1.7×	22 0.3×	221 4.9×	21 0.6×	40	687
Yong Wu China	13	41 0.3×	48 0.5×	26 0.4×	100 2.2×	58 1.6×	43	428
Hung-Wei Chen Taiwan	12	34 0.3×	53 0.6×	23 0.4×	8 0.2×	67 1.8×	39	401
Xinye Li China	14	48 0.4×	21 0.2×	46 0.7×	194 4.3×	38 1.0×	47	642
Guojia Wan China	8	134 1.1×	44 0.5×	92 1.4×	42 0.9×	23 0.6×	17	369
Yifang Wu China	15	139 1.2×	18 0.2×	147 2.3×	87 1.9×	10 0.3×	47	886

Countries citing papers authored by Ofir Press

Since Specialization

Citations

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

Fields of papers citing papers by Ofir Press

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ofir Press

This figure shows the co-authorship network connecting the top 25 collaborators of Ofir Press. A scholar is included among the top collaborators of Ofir Press 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 Ofir Press. Ofir Press 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:

6 of 6 papers shown

1.

Malaviya, Chaitanya, et al.. (2024). AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?. 8938–8968.

2.

Press, Ofir, et al.. (2023). Measuring and Narrowing the Compositionality Gap in Language Models. 5687–5711. 113 indexed citations breakdown →

3.

Scao, Teven Le, Thomas J. Wang, Daniel Hesslow, et al.. (2022). What Language Model to Train if You Have One Million GPU Hours?. 765–782. 18 indexed citations

4.

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

5.

Hananya, Nir, Ofir Press, Alakesh Das, et al.. (2019). Persistent Chemiluminescent Glow of Phenoxy‐dioxetane Luminophore Enables Unique CRET‐Based Detection of Proteases. Chemistry - A European Journal. 25(64). 14679–14687. 41 indexed citations

6.

Cooperstein, Ido, et al.. (2018). Additive Manufacturing of Transparent Silica Glass from Solutions. ACS Applied Materials & Interfaces. 10(22). 18879–18885. 121 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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