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 Heilman
Since
Specialization
Citations
This map shows the geographic impact of Michael Heilman'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 Heilman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Heilman more than expected).
This network shows the impact of papers produced by Michael Heilman. 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 Heilman. The network helps show where Michael Heilman may publish in the future.
Co-authorship network of co-authors of Michael Heilman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Heilman.
A scholar is included among the top collaborators of Michael Heilman 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 Heilman. Michael Heilman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Ou Lydia, Joseph A. Rios, Michael Heilman, Libby Gerard, & Marcia C. Linn. (2016). Validation of automated scoring of science assessments. Journal of Research in Science Teaching. 53(2). 215–233.96 indexed citations
Evanini, Keelan, Michael Heilman, Xinhao Wang, & Daniel Blanchard. (2015). Automated Scoring for the "TOEFL Junior"® Comprehensive Writing and Speaking Test. Research Report. ETS RR-15-09.. ETS Research Report Series.1 indexed citations
9.
Heilman, Michael & Nitin Madnani. (2013). ETS: Domain Adaptation and Stacking for Short Answer Scoring. Joint Conference on Lexical and Computational Semantics. 275–279.53 indexed citations
10.
Heilman, Michael & Nitin Madnani. (2013). HENRY-CORE: Domain Adaptation and Stacking for Text Similarity. Joint Conference on Lexical and Computational Semantics. 1. 96–102.5 indexed citations
11.
Madnani, Nitin, Michael Heilman, Joel Tetreault, & Martin Chodorow. (2012). Identifying High-Level Organizational Elements in Argumentative Discourse. North American Chapter of the Association for Computational Linguistics. 20–28.38 indexed citations
12.
Heilman, Michael, Aoife Cahill, & Joel Tetreault. (2012). Precision Isn't Everything: A Hybrid Approach to Grammatical Error Detection. North American Chapter of the Association for Computational Linguistics. 233–241.6 indexed citations
13.
Heilman, Michael & Nitin Madnani. (2012). ETS: Discriminative Edit Models for Paraphrase Scoring. Joint Conference on Lexical and Computational Semantics. 529–535.13 indexed citations
Yogatama, Dani, Michael Heilman, Brendan O’Connor, et al.. (2011). Predicting a Scientific Community’s Response to an Article. Empirical Methods in Natural Language Processing. 29. 594–604.29 indexed citations
16.
Smith, Noah A. & Michael Heilman. (2011). Automatic factual question generation from text.102 indexed citations
17.
Heilman, Michael, Kevyn Collins‐Thompson, Jamie Callan, & Maxine Eskénazi. (2007). Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts. North American Chapter of the Association for Computational Linguistics. 460–467.133 indexed citations
Scheutz, Matthias, et al.. (2005). Toward affective cognitive robots for human-robot interaction. National Conference on Artificial Intelligence. 1737–1738.19 indexed citations
20.
Eberhard, Kathleen M., Michael Heilman, & Matthias Scheutz. (2005). An Empirical and Computational Test of Linguistic Relativity. eScholarship (California Digital Library). 27(27).4 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.