Jonathan Herzig

1.9k citations
26 papers · 821 · 1 hit paper · h-index 13

Impact in

    • 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)

Papers in

    • Topic Modeling 10
    • Natural Language Processing Techniques 8
    • Sentiment Analysis and Opinion Mining 6
    • Advanced Text Analysis Techniques 4
    • Software Engineering Research 2

Jonathan Herzig

24 papers receiving 774 citations

Jonathan Herzig's Hit Papers

Learning To Retrieve Prompts for In-Context Learning 2022 · 216 citations
2160+1+2Years since publication50100150200

Peers

Jonathan Herzig
Comparison fields: 5 of 70
  • Artificial Intelligence 664
  • Health Informatics 12
  • Computer Vision and Pattern Recognition 167
  • Information Systems 84
  • General Social Sciences 11
Replace Tejaswini Deoskar with:
Tejaswini Deoskar Netherlands
Bharat Ram Ambati India
Shuohuan Wang China
Yun-Hsuan Sung United States
Mandy Guo United States
Ian Tenney United States
Gustavo Hernández Ábrego United States
Shashi Narayan United Kingdom
Anastasia Shimorina France
Shoaib Jameel United Kingdom
Jonathan Herzig relative to Tejaswini Deoskar Netherlands Tejaswini Deoskar's profile →
Citations per field
00.5×12×
Tejaswini Deoskar · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2019263
2
Learning To Retrieve Prompts for In-Context Learning
Hit paper breakdown →
2022216
3 202237
4 201435
5 201731
6 201429
7 202428
8 201628
9 202227
10 201723
11 201620
12 202316
13 202215
14 201911
15 20239
16 20137
17 20137
18 20244
19 20174
20 20233

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 26 papers that have together received 821 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), Digital Communication and Language (2 papers), Software Engineering Research (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (664 citations), Health Informatics (12 citations), Computer Vision and Pattern Recognition (167 citations), Information Systems (84 citations) and General Social Sciences (11 citations). Jonathan Herzig has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jonathan Berant, Ohad Rubin, Nicholas Lourie, Alon Talmor, David Konopnicki, Michal Shmueli-Scheuer, Roee Aharoni, Yosi Mass, Idan Szpektor and Haggai Roitman. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IBM Journal of Research and Development, CEAS Aeronautical Journal, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Edinburgh Research Explorer (University of Edinburgh).

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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