Andrew L. Maas

12 papers and 2.7k indexed citations i.

About

Andrew L. Maas is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Andrew L. Maas has authored 12 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Management Science and Operations Research. Recurrent topics in Andrew L. Maas’s work include Speech Recognition and Synthesis (4 papers), Music and Audio Processing (4 papers) and Speech and Audio Processing (3 papers). Andrew L. Maas is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Music and Audio Processing (4 papers) and Speech and Audio Processing (3 papers). Andrew L. Maas collaborates with scholars based in United States. Andrew L. Maas's co-authors include Andrew Y. Ng, Christopher Potts, Dan Huang, J. Andrew Bagnell, Anind K. Dey, Brian D. Ziebart, Oriol Vinyals, Quoc V. Le, Patrick Nguyen and Ziang Xie and has published in prestigious journals such as Computer Speech & Language, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Andrew L. Maas i

Fields of papers citing papers by Andrew L. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew L. Maas. 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 Andrew L. Maas. The network helps show where Andrew L. Maas may publish in the future.

Countries citing papers authored by Andrew L. Maas

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025