Gabriel Stanovsky

2.0k total citations
43 papers, 737 citations indexed

About

Gabriel Stanovsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Gabriel Stanovsky has authored 43 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Gabriel Stanovsky's work include Topic Modeling (33 papers), Natural Language Processing Techniques (29 papers) and Multimodal Machine Learning Applications (9 papers). Gabriel Stanovsky is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (29 papers) and Multimodal Machine Learning Applications (9 papers). Gabriel Stanovsky collaborates with scholars based in Israel, United States and France. Gabriel Stanovsky's co-authors include Ido Dagan, Matt Gardner, Sameer Singh, Julian Michael, Luke Zettlemoyer, Yizhong Wang, Dheeru Dua, Pradeep Dasigi, Pablo N. Mendes and Daniel Gruhl and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Gabriel Stanovsky

38 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Stanovsky Israel 12 676 136 89 55 30 43 737
Johannes Welbl United Kingdom 5 516 0.8× 130 1.0× 55 0.6× 24 0.4× 27 0.9× 10 554
Nelson F. Liu United States 5 294 0.4× 61 0.4× 64 0.7× 28 0.5× 32 1.1× 7 445
Mihir Kale United States 7 942 1.4× 220 1.6× 85 1.0× 26 0.5× 34 1.1× 9 1.0k
Changning Huang China 15 847 1.3× 146 1.1× 159 1.8× 60 1.1× 23 0.8× 51 897
Ralf Steinberger Italy 18 1.0k 1.5× 47 0.3× 181 2.0× 35 0.6× 43 1.4× 55 1.1k
Minjoon Seo South Korea 10 468 0.7× 288 2.1× 69 0.8× 18 0.3× 11 0.4× 32 588
Rafael Muñoz Spain 18 729 1.1× 39 0.3× 149 1.7× 78 1.4× 33 1.1× 100 809
Ziqiang Cao China 13 887 1.3× 148 1.1× 85 1.0× 30 0.5× 34 1.1× 38 1.0k
Tsutomu Hirao Japan 17 1.1k 1.6× 150 1.1× 109 1.2× 71 1.3× 16 0.5× 73 1.1k

Countries citing papers authored by Gabriel Stanovsky

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Stanovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Stanovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Stanovsky. A scholar is included among the top collaborators of Gabriel Stanovsky 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 Gabriel Stanovsky. Gabriel Stanovsky 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
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Berger, Uri, Gabriel Stanovsky, Omri Abend, & Lea Frermann. (2025). Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends, and Metrics Analysis. Transactions of the Association for Computational Linguistics. 13. 1597–1644.
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Stanovsky, Gabriel, et al.. (2024). K-QA: A Real-World Medical Q&A Benchmark. 277–294. 2 indexed citations
5.
Bai, Fan, Junmo Kang, Gabriel Stanovsky, et al.. (2024). Schema-Driven Information Extraction from Heterogeneous Tables. 10252–10273. 3 indexed citations
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Berger, Uri, Lea Frermann, Gabriel Stanovsky, & Omri Abend. (2023). A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. 2285–2299. 1 indexed citations
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Stanovsky, Gabriel, et al.. (2023). The Perfect Victim. 111–120. 2 indexed citations
9.
Shahaf, Dafna, et al.. (2023). VASR: Visual Analogies of Situation Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 241–249. 4 indexed citations
10.
Stanovsky, Gabriel, et al.. (2023). You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models. 1–11. 1 indexed citations
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Mamou, Jonathan, et al.. (2020). Controlled Crowdsourcing for High-Quality QA-SRL Annotation. 7008–7013. 27 indexed citations
13.
Mamou, Jonathan, et al.. (2019). Crowdsourcing a High-Quality Gold Standard for QA-SRL.. arXiv (Cornell University). 1 indexed citations
14.
Dua, Dheeru, Yizhong Wang, Pradeep Dasigi, et al.. (2019). . 2368–2378. 170 indexed citations
15.
Chen, Anthony, Gabriel Stanovsky, Sameer Singh, & Matt Gardner. (2019). Evaluating Question Answering Evaluation. 119–124. 45 indexed citations
16.
Stanovsky, Gabriel, Julian Michael, Luke Zettlemoyer, & Ido Dagan. (2018). Supervised Open Information Extraction. 885–895. 135 indexed citations
17.
Stanovsky, Gabriel, Daniel Gruhl, & Pablo N. Mendes. (2017). Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models. 142–151. 37 indexed citations
18.
Stanovsky, Gabriel, et al.. (2017). Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. 352–357. 21 indexed citations
19.
Levy, Omer, Ido Dagan, Gabriel Stanovsky, Judith Eckle‐Kohler, & Iryna Gurevych. (2016). Modeling Extractive Sentence Intersection via Subtree Entailment. TUbilio (Technical University of Darmstadt). 2891–2901. 2 indexed citations
20.
Stanovsky, Gabriel, Ido Dagan, & Meni Adler. (2016). Specifying and Annotating Reduced Argument Span Via QA-SRL. 474–478. 3 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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