Jonathan Herzig

1.8k total citations · 1 hit paper
25 papers, 726 citations indexed

About

Jonathan Herzig is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Herzig has authored 25 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Herzig's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Jonathan Herzig is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). Jonathan Herzig collaborates with scholars based in Israel, United States and Germany. Jonathan Herzig's co-authors include Jonathan Berant, Ohad Rubin, Nicholas Lourie, Alon Talmor, Michal Shmueli-Scheuer, David Konopnicki, Roee Aharoni, Yosi Mass, Haggai Roitman and Nathan Intrator and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IBM Journal of Research and Development and CEAS Aeronautical Journal.

In The Last Decade

Jonathan Herzig

23 papers receiving 692 citations

Hit Papers

Learning To Retrieve Prompts for In-Context Learning 2022 2026 2023 2024 2022 50 100 150
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.

  1. Learning To Retrieve Prompts for In-Context Learning
    2022 197 citations Ohad Rubin, Jonathan Herzig et al. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Herzig Israel 13 601 151 67 32 29 25 726
Leonardo Neves United States 9 511 0.9× 171 1.1× 86 1.3× 26 0.8× 8 0.3× 26 642
Manuel Carlos Díaz–Galiano Spain 10 278 0.5× 55 0.4× 66 1.0× 31 1.0× 7 0.2× 48 393
Ian Tenney United States 11 791 1.3× 186 1.2× 102 1.5× 29 0.9× 2 0.1× 13 951
Tejaswini Deoskar United Kingdom 7 579 1.0× 105 0.7× 93 1.4× 45 1.4× 2 0.1× 17 716
Shuohuan Wang China 7 527 0.9× 131 0.9× 75 1.1× 26 0.8× 2 0.1× 15 605
Bharat Ram Ambati India 9 675 1.1× 110 0.7× 100 1.5× 45 1.4× 2 0.1× 22 808
Yun-Hsuan Sung United States 10 596 1.0× 116 0.8× 64 1.0× 32 1.0× 2 0.1× 20 695
Weiwei Yang China 11 223 0.4× 34 0.2× 37 0.6× 15 0.5× 9 0.3× 35 516
Xiaoqing Zheng China 12 477 0.8× 90 0.6× 78 1.2× 24 0.8× 3 0.1× 50 567
Wenxuan Zhang Hong Kong 14 747 1.2× 56 0.4× 138 2.1× 49 1.5× 2 0.1× 52 867

Countries citing papers authored by Jonathan Herzig

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Herzig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Herzig

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Herzig. A scholar is included among the top collaborators of Jonathan Herzig 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 Herzig. Jonathan Herzig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Herzig, Jonathan, et al.. (2025). Applied Design Thinking in urban air mobility: creating the airtaxi cabin design of the future from a user perspective. CEAS Aeronautical Journal. 16(3). 957–972.
2.
Shaham, Uri, et al.. (2024). Multilingual Instruction Tuning With Just a Pinch of Multilinguality. 2304–2317. 3 indexed citations
3.
Yona, Gal, Roee Aharoni, Matan Eyal, et al.. (2024). Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?. 7765–7784. 18 indexed citations
4.
Jacovi, Alon, Bernd Bohnet, Jonathan Herzig, et al.. (2024). A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. 4615–4634.
5.
Herzig, Jonathan. (2023). Applying an interior VR co-design approach for the medical deployment vehicle of the future. Materials research proceedings. 37. 758–762. 1 indexed citations
6.
Jacovi, Alon, Avi Caciularu, Jonathan Herzig, et al.. (2023). A Comprehensive Evaluation of Tool-Assisted Generation Strategies. 13856–13878. 2 indexed citations
7.
Müller, Benjamin, John Wieting, Jonathan H. Clark, et al.. (2023). Evaluating and Modeling Attribution for Cross-Lingual Question Answering. 144–157. 1 indexed citations
8.
Herzig, Jonathan, et al.. (2023). TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. 2053–2070. 12 indexed citations
9.
Aharoni, Roee, Shashi Narayan, Joshua Maynez, et al.. (2023). Multilingual Summarization with Factual Consistency Evaluation. 3562–3591. 8 indexed citations
10.
Qiu, Linlu, Peter Shaw, Panupong Pasupat, et al.. (2022). Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. 9157–9179. 15 indexed citations
11.
Rubin, Ohad, Jonathan Herzig, & Jonathan Berant. (2022). Learning To Retrieve Prompts for In-Context Learning. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2655–2671. 197 indexed citations breakdown →
12.
Honovich, Or, Roee Aharoni, Jonathan Herzig, et al.. (2022). TRUE: Re-evaluating Factual Consistency Evaluation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3905–3920. 23 indexed citations
13.
Honovich, Or, Roee Aharoni, Jonathan Herzig, et al.. (2022). TRUE: Re-evaluating Factual Consistency Evaluation. 161–175. 32 indexed citations
14.
Talmor, Alon, Jonathan Herzig, Nicholas Lourie, & Jonathan Berant. (2019). . 4149–4158. 237 indexed citations
15.
Shmueli-Scheuer, Michal, et al.. (2019). Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. 211–215. 11 indexed citations
16.
Herzig, Jonathan, Michal Shmueli-Scheuer, & David Konopnicki. (2017). Emotion Detection from Text via Ensemble Classification Using Word Embeddings. 269–272. 28 indexed citations
17.
Herzig, Jonathan, Yosi Mass, & Haggai Roitman. (2014). An author-reader influence model for detecting topic-based influencers in social media. 46–55. 25 indexed citations
18.
Herzig, Jonathan, Amitai Bickel, Arie Eitan, & Nathan Intrator. (2014). Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds. IEEE Transactions on Biomedical Engineering. 62(4). 1169–1178. 31 indexed citations
19.
Papadopoulos, Symeon, et al.. (2013). EventSense. 17–24. 4 indexed citations
20.
Konopnicki, David, Michal Shmueli-Scheuer, Doron Cohen, et al.. (2013). A statistical approach to mining customers' conversational data from social media. IBM Journal of Research and Development. 57(3/4). 14:1–14:13. 5 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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