Beth G. Greene

90 total papers · 632 total citations
22 papers, 476 citations indexed

About

Beth G. Greene is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Beth G. Greene has authored 22 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Beth G. Greene's work include Speech and dialogue systems (5 papers), Speech and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Beth G. Greene is often cited by papers focused on Speech and dialogue systems (5 papers), Speech and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Beth G. Greene collaborates with scholars based in United States and Russia. Beth G. Greene's co-authors include David B. Pisoni, John S. Logan, Stephen D. Goldinger, Howard C. Nusbaum, Thomas D. Carrell, Scott E. Lively, John W. Mullennix, James Ralston, Roger Farr and Chris M. Anson and has published in prestigious journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America and Journal of Experimental Psychology General.

In The Last Decade

Beth G. Greene

15 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Beth G. Greene 223 189 188 166 116 22 476
Lian Nijland 249 1.1× 340 1.8× 205 1.1× 117 0.7× 52 0.4× 14 526
H. S. Venkatagiri 157 0.7× 131 0.7× 165 0.9× 62 0.4× 33 0.3× 29 406
Kim A. Wilcox 158 0.7× 155 0.8× 205 1.1× 94 0.6× 30 0.3× 28 483
Geoff Plant 193 0.9× 98 0.5× 284 1.5× 76 0.5× 68 0.6× 17 423
Melissa A. Redford 156 0.7× 257 1.4× 389 2.1× 147 0.9× 68 0.6× 55 546
Madalena Cruz‐Ferreira 63 0.3× 138 0.7× 204 1.1× 149 0.9× 49 0.4× 16 456
Jennell Vick 345 1.5× 197 1.0× 351 1.9× 63 0.4× 122 1.1× 26 533
F. Sayako Earle 267 1.2× 273 1.4× 145 0.8× 28 0.2× 27 0.2× 23 425
John Bowden 57 0.3× 93 0.5× 188 1.0× 140 0.8× 49 0.4× 11 411
Avraham Parush 131 0.6× 97 0.5× 291 1.5× 134 0.8× 67 0.6× 12 435

Countries citing papers authored by Beth G. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Beth G. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth G. Greene. 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 Beth G. Greene. The network helps show where Beth G. Greene may publish in the future.

Co-authorship network of co-authors of Beth G. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Beth G. Greene. A scholar is included among the top collaborators of Beth G. Greene 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 Beth G. Greene. Beth G. Greene 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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