Jonathan Herzig

1.8k citations

25 papers · 726 indexed · 1 hit paper · h-index 13

Impact in

Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Advanced Graph Neural Networks
- Explainable Artificial Intelligence (XAI)
Health Informatics top 10%

Papers in ⓘ

Artificial Intelligence 19
- Topic Modeling 10
- Natural Language Processing Techniques 8
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 4
Information Systems 7
- Spam and Phishing Detection 2
- Software Engineering Research 2

Co-authors: Jonathan Berant (2 shared papers)Ohad Rubin (1 shared paper)Alon Talmor (1 shared paper)Nicholas Lourie (1 shared paper)Michal Shmueli-Scheuer (8 shared papers)David Konopnicki (8 shared papers)Roee Aharoni (9 shared papers)Yosi Mass (3 shared papers)
Journals: IBM Journal of Research and Development (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)CEAS Aeronautical Journal (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2 papers)Materials research proceedings (1 paper)
Partner nations: Israel United States Germany

In The Last Decade

Jonathan Herzig

23 papers receiving 692 citations

Hit Papers

align trajectories log scale

Learning To Retrieve Prompts for In-Context Learning 2022 · 197 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Peers

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-authors

The 25 scholars most cited alongside Jonathan Herzig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Herzig Line = papers co-authored together Jonathan Herzig links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant	2019	237
2	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 ·Ohad Rubin, Jonathan Herzig, Jonathan Berant Hit paper breakdown →	2022	197
3	TRUE: Re-evaluating Factual Consistency Evaluation Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias	2022	32
4	Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds IEEE Transactions on Biomedical Engineering ·Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator	2014	31
5	Emotion Detection from Text via Ensemble Classification Using Word Embeddings Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki	2017	28
6	Classifying Emotions in Customer Support Dialogues in Social Media Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David I. Spivak	2016	26
7	An author-reader influence model for detecting topic-based influencers in social media Jonathan Herzig, Yosi Mass, Haggai Roitman	2014	25
8	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 ·Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias	2022	23
9	Neural Response Generation for Customer Service based on Personality Traits Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki	2017	21
10	Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli	2016	20
11	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig	2024	18
12	Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova	2022	15
13	TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor	2023	12
14	Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank	2019	11
15	Multilingual Summarization with Factual Consistency Evaluation Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth A. Clark, Mirella Lapata	2023	8
16	A statistical approach to mining customers' conversational data from social media IBM Journal of Research and Development ·David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass	2013	5
17	EventSense Emmanouil Schinas, Symeon Papadopoulos, Sotiris Diplaris, Ioannis Kompatsiaris, Yosi Mass, Jonathan Herzig, Lazaros Boudakidis	2013	4
18	EHCTool Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul	2017	4
19	Multilingual Instruction Tuning With Just a Pinch of Multilinguality Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal	2024	3
20	A Comprehensive Evaluation of Tool-Assisted Generation Strategies Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva	2023	2

About Jonathan Herzig

Jonathan Herzig is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Social Psychology and Experimental and Cognitive Psychology, having authored 25 papers that have together received 726 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (4 papers), Emotion and Mood Recognition (3 papers), Spam and Phishing Detection (2 papers), Multimodal Machine Learning Applications (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (601 citations), Health Informatics (13 citations), Computer Vision and Pattern Recognition (151 citations), General Social Sciences (11 citations) and Information Systems (67 citations). Jonathan Herzig has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jonathan Berant, Ohad Rubin, Alon Talmor, Nicholas Lourie, Michal Shmueli-Scheuer, David Konopnicki, Roee Aharoni, Yosi Mass, Haggai Roitman and Amitai Bickel. Their work appears in journals such as IBM Journal of Research and Development, IEEE Transactions on Biomedical Engineering, CEAS Aeronautical Journal, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Materials research proceedings.

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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