Hadas Kress‐Gazit

About

Hadas Kress‐Gazit is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hadas Kress‐Gazit has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Theory and Mathematics, 40 papers in Artificial Intelligence and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hadas Kress‐Gazit’s work include Formal Methods in Verification (49 papers), Robotic Path Planning Algorithms (24 papers) and Model-Driven Software Engineering Techniques (19 papers). Hadas Kress‐Gazit is often cited by papers focused on Formal Methods in Verification (49 papers), Robotic Path Planning Algorithms (24 papers) and Model-Driven Software Engineering Techniques (19 papers). Hadas Kress‐Gazit collaborates with scholars based in United States, Germany and United Kingdom. Hadas Kress‐Gazit's co-authors include George J. Pappas, Georgios Fainekos, Antoine Girard, Vasumathi Raman, Gangyuan Jing, Ciara Finucane, Jonathan DeCastro, Ufuk Topcu, Tichakorn Wongpiromsarn and Morteza Lahijanian and has published in prestigious journals such as Nature Materials, Automatica and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Hadas Kress‐Gazit i

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Fields of papers citing papers by Hadas Kress‐Gazit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hadas Kress‐Gazit. 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 Hadas Kress‐Gazit. The network helps show where Hadas Kress‐Gazit may publish in the future.

Countries citing papers authored by Hadas Kress‐Gazit

Since Specialization

Citations

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

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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