Hana Chockler
- Software top 5%
- Software Testing and Debugging Techniques 18
- Software Reliability and Analysis Research 16
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- Formal Methods in Verification 21
- semigroups and automata theory 4
- Complexity and Algorithms in Graphs 3
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference 3
- Machine Learning and Algorithms 3
- Information Systems top 5%
- Software Engineering Research 4
- Co-authors
- Joseph Y. HalpernAlexander IvriiGadi AleksandrowiczOrna KupfermanOfer StrichmanMoshe Y. VardiDan GutfreundArie Matsliah
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)Theoretical Computer Science (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Hana Chockler
42 papers receiving 775 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Software 153
- Computational Theory and Mathematics 227
- Artificial Intelligence 429
- General Decision Sciences 18
- Information Systems 151
Countries citing papers authored by Hana Chockler
This map shows the geographic impact of Hana Chockler'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 Hana Chockler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hana Chockler more than expected).
Fields of papers citing papers by Hana Chockler
This network shows the impact of papers produced by Hana Chockler. 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 Hana Chockler. The network helps show where Hana Chockler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hana Chockler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 0 | |
| 6 | Explaining Deep Neural Networks Using Spectrum-Based Fault Localization | 2019 | 2 |
| 7 | 2018 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 9 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 2 | |
| 13 | 2011 | 31 | |
| 14 | 2011 | 41 | |
| 15 | 2008 | 5 | |
| 16 | 2007 | 17 | |
| 17 | 2007 | 7 | |
| 18 | 2006 | 19 | |
| 19 | 2004 | 6 | |
| 20 | 2001 | 1 |
About Hana Chockler
Hana Chockler is a scholar working on Software, Computational Theory and Mathematics and General Decision Sciences, having authored 45 papers that have together received 810 indexed citations. Recurring topics across this work include Formal Methods in Verification (21 papers), Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (16 papers), semigroups and automata theory (4 papers), Software Engineering Research (4 papers), Bayesian Modeling and Causal Inference (3 papers), Machine Learning and Algorithms (3 papers) and Complexity and Algorithms in Graphs (3 papers). The work is most often cited by research in Software (153 citations), Computational Theory and Mathematics (227 citations) and Artificial Intelligence (429 citations). Hana Chockler has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Joseph Y. Halpern, Alexander Ivrii, Gadi Aleksandrowicz, Orna Kupferman, Ofer Strichman, Moshe Y. Vardi, Dan Gutfreund, Arie Matsliah, Gregory Chockler and Ilan Beer. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Theoretical Computer Science and Lecture notes in computer science.
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.