Terri Kamm

About

Terri Kamm is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Terri Kamm has authored 3 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Experimental and Cognitive Psychology and 1 paper in Signal Processing. Recurrent topics in Terri Kamm’s work include Speech Recognition and Synthesis (2 papers), Neural Networks and Applications (1 paper) and Speech and Audio Processing (1 paper). Terri Kamm is often cited by papers focused on Speech Recognition and Synthesis (2 papers), Neural Networks and Applications (1 paper) and Speech and Audio Processing (1 paper). Terri Kamm collaborates with scholars based in United States. Terri Kamm's co-authors include Alvin F. Martín, George R. Doddington, Mark A. Przybocki, Andreas G. Andreou, Jordan Cohen, Pascale Fung, Zhanjiang Song, Fang Zheng, Aijun Li and Bill Byrne and has published in prestigious journals such as The Journal of the Acoustical Society of America, CiteSeer X (The Pennsylvania State University) and 4th International Conference on Spoken Language Processing (ICSLP 1996).

In The Last Decade

Co-authorship network of co-authors of Terri Kamm i

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Fields of papers citing papers by Terri Kamm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Terri Kamm

Since Specialization

Citations

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