James Mullenbach

2 papers and 250 indexed citations i.

About

James Mullenbach is a scholar working on Molecular Biology, Artificial Intelligence and Industrial relations. According to data from OpenAlex, James Mullenbach has authored 2 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in James Mullenbach’s work include Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Machine Learning in Healthcare (2 papers). James Mullenbach is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Machine Learning in Healthcare (2 papers). James Mullenbach collaborates with scholars based in United States. James Mullenbach's co-authors include Jimeng Sun, Jacob Eisenstein, Sarah Wiegreffe, Jon Duke, David Sontag, Yada Pruksachatkun, Yi Yang, Hui Dai and Jordan Swartz and has published in prestigious journals such as DSpace@MIT (Massachusetts Institute of Technology) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of James Mullenbach i

Fields of papers citing papers by James Mullenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Mullenbach. 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 James Mullenbach. The network helps show where James Mullenbach may publish in the future.

Countries citing papers authored by James Mullenbach

Since Specialization
Citations

This map shows the geographic impact of James Mullenbach'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 James Mullenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Mullenbach 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