Michael Heilman

About

Michael Heilman is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Michael Heilman has authored 24 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Michael Heilman’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (5 papers). Michael Heilman is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (5 papers). Michael Heilman collaborates with scholars based in United States. Michael Heilman's co-authors include Noah A. Smith, Dani Yogatama, Dipanjan Das, Nathan Schneider, Brendan O’Connor, Jacob Eisenstein, Kevin Gimpel, Jeffrey Flanigan, Nitin Madnani and Kevyn Collins‐Thompson 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

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.

Michael Heilman

23 papers receiving 777 citations

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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