Michael Heilman

28 papers and 1.1k indexed citations i.

About

Michael Heilman is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Heilman has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Heilman’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (7 papers). Michael Heilman is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (7 papers). Michael Heilman collaborates with scholars based in United States and Germany. Michael Heilman's co-authors include Noah A. Smith, Nitin Madnani, Dani Yogatama, Jacob Eisenstein, Brendan O’Connor, Dipanjan Das, Nathan Schneider, Jeffrey Flanigan, Kevin Gimpel and Maxine Eskénazi and has published in prestigious journals such as Journal of Research in Science Teaching, Bioinspiration & Biomimetics and Educational Measurement Issues and Practice.

In The Last Decade

Co-authorship network of co-authors of Michael Heilman i

Fields of papers citing papers by Michael Heilman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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.

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2025