Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Michael Elhadad
Since
Specialization
Citations
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).
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.
Elhadad, Michael, et al.. (2016). The Hebrew FrameNet Project.. Language Resources and Evaluation. 4341–4347.6 indexed citations
3.
Cohen, Raphael & Michael Elhadad. (2013). Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR. Meeting of the Association for Computational Linguistics. 116–119.1 indexed citations
Elhadad, Michael, Sabino Miranda‐Jiménez, Josef Steinberger, & George Giannakopoulos. (2013). Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish. 13–19.8 indexed citations
6.
Cohen, Raphael, Yoav Goldberg, & Michael Elhadad. (2012). Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model. Meeting of the Association for Computational Linguistics. 43–48.5 indexed citations
7.
Goldberg, Yoav & Michael Elhadad. (2011). Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser. Meeting of the Association for Computational Linguistics. 704–709.18 indexed citations
Goldberg, Yoav & Michael Elhadad. (2010). Inspecting the Structural Biases of Dependency Parsing Algorithms. 234–242.8 indexed citations
11.
Goldberg, Yoav & Michael Elhadad. (2010). An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing. North American Chapter of the Association for Computational Linguistics. 742–750.134 indexed citations
12.
Goldberg, Yoav & Michael Elhadad. (2010). Easy-First Dependency Parsing of Modern Hebrew. North American Chapter of the Association for Computational Linguistics. 103–107.17 indexed citations
13.
Goldberg, Yoav, Meni Adler, & Michael Elhadad. (2008). EM Can Find Pretty Good HMM POS-Taggers (When Given a Good Start). Meeting of the Association for Computational Linguistics. 746–754.44 indexed citations
14.
Adler, Meni, et al.. (2008). Unsupervised Lexicon-Based Resolution of Unknown Words for Full Morphological Analysis. Meeting of the Association for Computational Linguistics. 728–736.18 indexed citations
15.
Goldberg, Yoav & Michael Elhadad. (2007). SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking. Meeting of the Association for Computational Linguistics. 224–231.7 indexed citations
McKeown, Kathleen, et al.. (1990). Natural language generation in COMET. 103–139.23 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.