Hadas Kress‐Gazit
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Software top 0.5%
- Control and Systems Engineering top 2%
- Co-authors
- George J. PappasGeorgios FainekosVasumathi RamanGangyuan JingAntoine GirardMorteza LahijanianCiara FinucaneJonathan DeCastro
- Topics
- Formal Methods in Verification (62 papers)Robotic Path Planning Algorithms (30 papers)Model-Driven Software Engineering Techniques (25 papers)
- Journals
- Nature MaterialsSHILAP Revista de lepidopterologíaAutomatica
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Hadas Kress‐Gazit
101 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 1.6k
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 989
- Software 740
- Control and Systems Engineering 598
Countries citing papers authored by Hadas Kress‐Gazit
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).
Fields of papers citing papers by Hadas Kress‐Gazit
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.
Co-authorship network of co-authors of Hadas Kress‐Gazit
This figure shows the co-authorship network connecting the top 25 collaborators of Hadas Kress‐Gazit. A scholar is included among the top collaborators of Hadas Kress‐Gazit 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 Hadas Kress‐Gazit. Hadas Kress‐Gazit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 80 | |
| 10 | 9 | |
| 11 | 47 | |
| 12 | 11 | |
| 13 | Make it So: Continuous, Flexible Natural Language Interaction with an Autonomous Robot | 19 |
| 14 | Designing reactive robot controllers with LTLMoP | 4 |
| 15 | 5 | |
| 16 | Courteous Cars Decentralized Multiagent Traffic Coordination | 17 |
| 17 | 271 | |
| 18 | 141 | |
| 19 | 61 | |
| 20 | 144 |
About Hadas Kress‐Gazit
Hadas Kress‐Gazit is a scholar working on Software, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 2.9k indexed citations. Recurring topics across this work include Formal Methods in Verification (62 papers), Robotic Path Planning Algorithms (30 papers) and Model-Driven Software Engineering Techniques (25 papers). The work is most often cited by research in Software (740 citations), Computational Theory and Mathematics (1.6k citations) and Computer Vision and Pattern Recognition (989 citations). Hadas Kress‐Gazit has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include George J. Pappas, Georgios Fainekos, Vasumathi Raman, Gangyuan Jing, Antoine Girard, Morteza Lahijanian, Ciara Finucane, Jonathan DeCastro, Mark Yim and Tarik Tosun. Their work appears in journals such as Nature Materials, SHILAP Revista de lepidopterología and Automatica.
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.