S.C. Douglas

93 papers and 2.4k indexed citations i.

About

S.C. Douglas is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, S.C. Douglas has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Signal Processing, 52 papers in Computational Mechanics and 18 papers in Artificial Intelligence. Recurrent topics in S.C. Douglas’s work include Advanced Adaptive Filtering Techniques (52 papers), Blind Source Separation Techniques (46 papers) and Speech and Audio Processing (40 papers). S.C. Douglas is often cited by papers focused on Advanced Adaptive Filtering Techniques (52 papers), Blind Source Separation Techniques (46 papers) and Speech and Audio Processing (40 papers). S.C. Douglas collaborates with scholars based in United States, Japan and United Kingdom. S.C. Douglas's co-authors include Marc Bodson, Mark J. Martinko, Danilo P. Mandic, T.H. Meng, Yili Xia, Andrzej Cichocki, S. Amari, Weimin Pan, Hiroshi Sawada and Shoji Makino and has published in prestigious journals such as Journal of Applied Psychology, Proceedings of the IEEE and Automatica.

In The Last Decade

Co-authorship network of co-authors of S.C. Douglas i

Fields of papers citing papers by S.C. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.C. Douglas. 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 S.C. Douglas. The network helps show where S.C. Douglas may publish in the future.

Countries citing papers authored by S.C. Douglas

Since Specialization
Citations

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