William M. Campbell

195 total papers · 5.9k total citations
118 papers, 3.8k citations indexed

About

William M. Campbell is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, William M. Campbell has authored 118 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 64 papers in Signal Processing and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in William M. Campbell's work include Speech Recognition and Synthesis (65 papers), Speech and Audio Processing (50 papers) and Music and Audio Processing (36 papers). William M. Campbell is often cited by papers focused on Speech Recognition and Synthesis (65 papers), Speech and Audio Processing (50 papers) and Music and Audio Processing (36 papers). William M. Campbell collaborates with scholars based in United States, United Kingdom and Australia. William M. Campbell's co-authors include D.A. Reynolds, Douglas Sturim, Joseph P. Campbell, Pedro A. Torres‐Carrasquillo, Elliot Singer, Douglas A. Reynolds, Vincent Wan, Khaled Assaleh, Zahi N. Karam and Kari Torkkola and has published in prestigious journals such as Physical Review Letters, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

William M. Campbell

112 papers receiving 3.4k citations

Hit Papers

Support vector machines u... 2006 2026 2012 2019 2006 2006 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William M. Campbell 3.0k 2.7k 521 202 127 118 3.8k
Xuedong Huang 3.3k 1.1× 2.3k 0.9× 711 1.4× 242 1.2× 114 0.9× 95 4.2k
S. Levinson 2.3k 0.8× 1.8k 0.7× 766 1.5× 214 1.1× 58 0.5× 85 3.2k
Bhuvana Ramabhadran 4.4k 1.5× 2.7k 1.0× 940 1.8× 194 1.0× 169 1.3× 220 5.6k
Nelson Morgan 3.5k 1.2× 2.9k 1.1× 606 1.2× 349 1.7× 162 1.3× 119 4.8k
Arnab Ghoshal 2.2k 0.7× 1.7k 0.6× 346 0.7× 313 1.5× 66 0.5× 54 2.9k
B.-H. Juang 3.0k 1.0× 2.5k 0.9× 971 1.9× 129 0.6× 77 0.6× 64 4.2k
Lei Xie 3.2k 1.1× 2.7k 1.0× 841 1.6× 260 1.3× 92 0.7× 333 4.3k
Frank Seide 3.5k 1.2× 2.1k 0.8× 764 1.5× 113 0.6× 149 1.2× 95 4.3k
Ralf Schlüter 4.2k 1.4× 2.4k 0.9× 785 1.5× 152 0.8× 214 1.7× 228 5.5k
Hui Jiang 2.7k 0.9× 1.7k 0.6× 711 1.4× 161 0.8× 132 1.0× 119 4.0k

Countries citing papers authored by William M. Campbell

Since Specialization
Citations

This map shows the geographic impact of William M. Campbell'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 William M. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Campbell more than expected).

Fields of papers citing papers by William M. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Campbell. 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 William M. Campbell. The network helps show where William M. Campbell may publish in the future.

Co-authorship network of co-authors of William M. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Campbell. A scholar is included among the top collaborators of William M. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William M. Campbell. William M. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026