Jonathan Berant

8.7k total citations · 3 hit papers
63 papers, 3.0k citations indexed

About

Jonathan Berant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jonathan Berant has authored 63 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Jonathan Berant's work include Topic Modeling (50 papers), Natural Language Processing Techniques (49 papers) and Multimodal Machine Learning Applications (17 papers). Jonathan Berant is often cited by papers focused on Topic Modeling (50 papers), Natural Language Processing Techniques (49 papers) and Multimodal Machine Learning Applications (17 papers). Jonathan Berant collaborates with scholars based in Israel, United States and Germany. Jonathan Berant's co-authors include Percy Liang, Andrew Chou, Roy Frostig, Jonathan Herzig, Ido Dagan, Ohad Rubin, Alon Talmor, Nicholas Lourie, Jacob Goldberger and Yushi Wang and has published in prestigious journals such as PLoS ONE, Computational Linguistics and Biomedical Signal Processing and Control.

In The Last Decade

Jonathan Berant

59 papers receiving 2.8k 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.

Semantic Parsing on Freebase from Question-Answer Pairs

2013 804 citations Jonathan Berant, Percy Liang et al. profile →
Semantic Parsing via Paraphrasing

2014 297 citations Jonathan Berant, Percy Liang profile →
Learning To Retrieve Prompts for In-Context Learning

2022 197 citations Ohad Rubin, Jonathan Berant et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Berant Israel	22	2.8k	794	397	116	110	63	3.0k
Gabor Angeli United States	12	2.8k 1.0×	534 0.7×	320 0.8×	138 1.2×	174 1.6×	16	3.0k
Yelong Shen United States	17	1.4k 0.5×	532 0.7×	477 1.2×	96 0.8×	69 0.6×	50	1.8k
Chris Quirk United States	24	2.4k 0.9×	353 0.4×	277 0.7×	65 0.6×	256 2.3×	75	2.7k
Chuanqi Tan China	22	2.0k 0.7×	267 0.3×	250 0.6×	138 1.2×	146 1.3×	43	2.2k
Kenneth Heafield United Kingdom	22	2.5k 0.9×	550 0.7×	311 0.8×	41 0.4×	162 1.5×	56	2.8k
Shujian Huang China	21	1.5k 0.5×	539 0.7×	621 1.6×	111 1.0×	51 0.5×	96	1.8k
Michihiro Yasunaga United States	14	1.3k 0.5×	216 0.3×	259 0.7×	109 0.9×	124 1.1×	21	1.5k
Christof Monz Netherlands	27	3.4k 1.2×	556 0.7×	416 1.0×	35 0.3×	194 1.8×	113	3.6k
Yansong Feng China	25	1.8k 0.6×	564 0.7×	494 1.2×	169 1.5×	65 0.6×	102	2.4k
Sergey Edunov United States	8	2.6k 0.9×	1.0k 1.3×	260 0.7×	36 0.3×	90 0.8×	11	3.0k

Countries citing papers authored by Jonathan Berant

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Berant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Berant

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

20 of 20 papers shown

1.

Rubin, Ohad & Jonathan Berant. (2024). Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval. Transactions of the Association for Computational Linguistics. 12. 1197–1213.

2.

Schuster, Tal, Haitian Sun, Jai Prakash Gupta, et al.. (2024). SEMQA: Semi-Extractive Multi-Source Question Answering. 1363–1381. 1 indexed citations

3.

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

4.

Meltzer‐Asscher, Aya, et al.. (2024). Classification of depression tendency from gaze patterns during sentence reading. Biomedical Signal Processing and Control. 93. 106015–106015. 1 indexed citations

5.

Levy, Omer, et al.. (2023). Translating Akkadian to English with neural machine translation. PNAS Nexus. 2(5). pgad096–pgad096. 14 indexed citations

6.

Katz, U., Mor Geva, & Jonathan Berant. (2022). Inferring Implicit Relations in Complex Questions with Language Models. 2548–2566. 4 indexed citations

7.

Berant, Jonathan, et al.. (2020). Reading Akkadian cuneiform using natural language processing. PLoS ONE. 15(10). e0240511–e0240511. 18 indexed citations

8.

Chen, Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, & Ni Lao. (2018). Memory Augmented Policy Optimization for Program Synthesis with Generalization. arXiv (Cornell University). 4 indexed citations

9.

Herzig, Roei, et al.. (2018). Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. Neural Information Processing Systems. 31. 7211–7221. 18 indexed citations

10.

Chen, Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, & Ni Lao. (2017). Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. 23–33. 187 indexed citations

11.

Berant, Jonathan & Percy Liang. (2015). Imitation Learning of Agenda-based Semantic Parsers. Transactions of the Association for Computational Linguistics. 3. 545–558. 37 indexed citations

12.

Berant, Jonathan, Vivek Srikumar, Pei‐Chun Chen, et al.. (2014). Modeling Biological Processes for Reading Comprehension. 1499–1510. 119 indexed citations

13.

Melamud, Oren, Jonathan Berant, Ido Dagan, Jacob Goldberger, & Idan Szpektor. (2013). A Two Level Model for Context Sensitive Inference Rules. Meeting of the Association for Computational Linguistics. 1331–1340. 15 indexed citations

14.

Adler, Meni, Jonathan Berant, & Ido Dagan. (2012). Entailment-based Text Exploration with Application to the Health-care Domain. Meeting of the Association for Computational Linguistics. 79–84. 10 indexed citations

15.

Berant, Jonathan, Ido Dagan, Meni Adler, & Jacob Goldberger. (2012). Efficient Tree-based Approximation for Entailment Graph Learning. Meeting of the Association for Computational Linguistics. 1. 117–125. 15 indexed citations

16.

Berant, Jonathan, et al.. (2012). Learning Verb Inference Rules from Linguistically-Motivated Evidence. Empirical Methods in Natural Language Processing. 194–204. 14 indexed citations

17.

Berant, Jonathan, Ido Dagan, & Jacob Goldberger. (2011). Global Learning of Typed Entailment Rules. Meeting of the Association for Computational Linguistics. 610–619. 80 indexed citations

18.

Mirkin, Shachar, Jonathan Berant, Ido Dagan, & Eyal Shnarch. (2010). Recognising Entailment within Discourse. International Conference on Computational Linguistics. 770–778. 6 indexed citations

19.

Mirkin, Shachar, Roy Bar-Haim, Ido Dagan, et al.. (2009). Addressing Discourse and Document Structure in the RTE Search Task.. Theory and applications of categories. 11 indexed citations

20.

Bar-Haim, Roy, Ido Dagan, Shachar Mirkin, et al.. (2008). Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests.. Theory and applications of categories. 23 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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