Joel Nothman

14 papers and 547 indexed citations i.

About

Joel Nothman is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Joel Nothman has authored 14 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 3 papers in Molecular Biology. Recurrent topics in Joel Nothman’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Data Quality and Management (6 papers). Joel Nothman is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Data Quality and Management (6 papers). Joel Nothman collaborates with scholars based in Australia and United States. Joel Nothman's co-authors include James Curran, Will Radford, Heng Ji, Ben Hachey, Tara Murphy, Boliang Zhang, Xiaoman Pan, Kevin Knight, Jonathan May and Nicky Ringland and has published in prestigious journals such as Artificial Intelligence, JMIR mhealth and uhealth and Theory and applications of categories.

In The Last Decade

Co-authorship network of co-authors of Joel Nothman i

Fields of papers citing papers by Joel Nothman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joel Nothman

Since Specialization
Citations

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