Yoav Katz

837 total citations
21 papers, 319 citations indexed

About

Yoav Katz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Yoav Katz has authored 21 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Software. Recurrent topics in Yoav Katz's work include Formal Methods in Verification (8 papers), Topic Modeling (7 papers) and Model-Driven Software Engineering Techniques (6 papers). Yoav Katz is often cited by papers focused on Formal Methods in Verification (8 papers), Topic Modeling (7 papers) and Model-Driven Software Engineering Techniques (6 papers). Yoav Katz collaborates with scholars based in Israel and United States. Yoav Katz's co-authors include Michal Rimon, Noam Slonim, Y. Naveh, Avi Ziv, Gil Shurek, Alon Halfon, Michael Vinov, Liat Ein‐Dor, Leshem Choshen and Ranit Aharonov and has published in prestigious journals such as AI Magazine, ACM Transactions on Algorithms and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Yoav Katz

21 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoav Katz Israel 10 145 108 83 74 46 21 319
Wanwei Liu China 8 65 0.4× 45 0.4× 48 0.6× 71 1.0× 29 0.6× 37 190
Anne Parrain France 2 155 1.1× 29 0.3× 76 0.9× 79 1.1× 13 0.3× 4 237
Perry Alexander United States 10 152 1.0× 62 0.6× 80 1.0× 42 0.6× 8 0.2× 57 262
Vijay Anand Korthikanti United States 7 69 0.5× 94 0.9× 73 0.9× 43 0.6× 19 0.4× 12 227
Piotr Dembiński Poland 7 140 1.0× 79 0.7× 93 1.1× 166 2.2× 10 0.2× 20 305
Arjun Radhakrishna United States 9 87 0.6× 36 0.3× 66 0.8× 63 0.9× 8 0.2× 33 213
Padmanabhan Krishnan Australia 9 92 0.6× 60 0.6× 127 1.5× 39 0.5× 12 0.3× 68 311
Jacques Malenfant France 7 132 0.9× 45 0.4× 32 0.4× 35 0.5× 15 0.3× 26 248
Ruggero Lanotte Italy 9 144 1.0× 31 0.3× 49 0.6× 154 2.1× 12 0.3× 49 278
W.D. Obal United States 7 25 0.2× 69 0.6× 77 0.9× 152 2.1× 34 0.7× 15 289

Countries citing papers authored by Yoav Katz

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Yoav Katz. A scholar is included among the top collaborators of Yoav Katz 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 Yoav Katz. Yoav Katz 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.
Choshen, Leshem, et al.. (2023). Where to start? Analyzing the potential value of intermediate models. 1446–1470. 4 indexed citations
2.
Gretz, Shai, Assaf Toledo, Dan Lahav, et al.. (2023). Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. 1358–1370. 1 indexed citations
3.
Raffel, Colin, et al.. (2023). Knowledge is a Region in Weight Space for Fine-tuned Language Models. 1350–1370. 5 indexed citations
4.
Gretz, Shai, Alon Halfon, Ilya Shnayderman, et al.. (2023). Zero-shot Topical Text Classification with LLMs - an Experimental Study. 9647–9676. 10 indexed citations
5.
Toledo‐Ronen, Orith, et al.. (2022). Multi-Domain Targeted Sentiment Analysis. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2751–2762. 4 indexed citations
6.
Toledo‐Ronen, Orith, et al.. (2021). YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9154–9173. 7 indexed citations
7.
Ein‐Dor, Liat, Alon Halfon, Ariel Gera, et al.. (2020). Active Learning for BERT: An Empirical Study. 7949–7962. 79 indexed citations
8.
Ein‐Dor, Liat, Ariel Gera, Orith Toledo‐Ronen, et al.. (2019). Financial Event Extraction Using Wikipedia-Based Weak Supervision. 10–15. 12 indexed citations
9.
Bar-Haim, Roy, Orith Toledo‐Ronen, Yonatan Bilu, et al.. (2019). From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. 977–990. 5 indexed citations
10.
Gutfreund, Dan, Yoav Katz, & Noam Slonim. (2016). Automatic Arguments Construction - From Search Engine to Research Engine.. National Conference on Artificial Intelligence. 3 indexed citations
11.
Katz, Yoav, Michal Rimon, & Avi Ziv. (2012). Generating instruction streams using abstract CSP. Design, Automation, and Test in Europe. 15–20. 6 indexed citations
12.
Katz, Yoav, Michal Rimon, & Avi Ziv. (2012). Generating instruction streams using abstract CSP. 15–20. 14 indexed citations
13.
Katz, Yoav, et al.. (2011). Learning microarchitectural behaviors to improve stimuli generation quality. 848–853. 24 indexed citations
14.
Bar-Noy, Amotz, Sudipto Guha, Yoav Katz, et al.. (2009). Throughput maximization of real-time scheduling with batching. ACM Transactions on Algorithms. 5(2). 1–17. 10 indexed citations
15.
Naveh, Y., et al.. (2007). Constraint-Based Random Stimuli Generation for Hardware Verification. AI Magazine. 28(3). 13–30. 45 indexed citations
16.
Katz, Yoav, et al.. (2007). Intelligent interleaving of scenarios. Proceedings - ACM IEEE Design Automation Conference. 891–891. 1 indexed citations
17.
18.
Naveh, Y., et al.. (2006). Constraint-based random stimuli generation for hardware verification. 1720–1727. 32 indexed citations
19.
Katz, Yoav, et al.. (2004). Quality improvement methods for system-level stimuli generation. 204–206. 3 indexed citations
20.
Naveh, Y., et al.. (2003). X-Gen: a random test-case generator for systems and SoCs. 145–150. 38 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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