Michael Elhadad
- Artificial Intelligence top 0.5%
- Information Systems top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Co-authors
- Regina BarzilayYoav GoldbergKathleen McKeownRaphael CohenJacques RobinMeni AdlerNoémie ElhadadHongyan Jing
- Topics
- Natural Language Processing Techniques (58 papers)Topic Modeling (49 papers)Speech and dialogue systems (16 papers)
- Partner nations
- IsraelUnited StatesCzechia
In The Last Decade
Michael Elhadad
72 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.9k
- Information Systems 249
- Molecular Biology 245
- Computer Vision and Pattern Recognition 172
- Signal Processing 66
Countries citing papers authored by Michael Elhadad
This map shows the geographic impact of Michael Elhadad'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 Michael Elhadad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Elhadad more than expected).
Fields of papers citing papers by Michael Elhadad
This network shows the impact of papers produced by Michael Elhadad. 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 Michael Elhadad. The network helps show where Michael Elhadad may publish in the future.
Co-authorship network of co-authors of Michael Elhadad
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Elhadad. A scholar is included among the top collaborators of Michael Elhadad 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 Michael Elhadad. Michael Elhadad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | The Hebrew FrameNet Project. | 6 |
| 3 | Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR | 1 |
| 4 | 6 | |
| 5 | Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish | 8 |
| 6 | Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model | 5 |
| 7 | Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser | 18 |
| 8 | 68 | |
| 9 | 13 | |
| 10 | Inspecting the Structural Biases of Dependency Parsing Algorithms | 8 |
| 11 | An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing | 134 |
| 12 | Easy-First Dependency Parsing of Modern Hebrew | 17 |
| 13 | EM Can Find Pretty Good HMM POS-Taggers (When Given a Good Start) | 44 |
| 14 | Unsupervised Lexicon-Based Resolution of Unknown Words for Full Morphological Analysis | 18 |
| 15 | SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking | 7 |
| 16 | 9 | |
| 17 | Generation Of Noun Compounds In Hebrew: Can Syntactic Knowledge Be Fully Encapsulated? | 4 |
| 18 | SURGE: a Comprehensive Plug-in Syntactic Realization Component for Text Generation | 2 |
| 19 | 2 | |
| 20 | Natural language generation in COMET | 23 |
About Michael Elhadad
Michael Elhadad is a scholar working on Artificial Intelligence, Software and Human Factors and Ergonomics, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (58 papers), Topic Modeling (49 papers) and Speech and dialogue systems (16 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (249 citations) and Computer Vision and Pattern Recognition (172 citations). Michael Elhadad has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Regina Barzilay, Yoav Goldberg, Kathleen McKeown, Raphael Cohen, Jacques Robin, Meni Adler, Noémie Elhadad, Hongyan Jing, Tal Baumel and Shay Zakov. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Journal of the American Medical Informatics Association.
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.