Mike Plumpe

11 total papers · 815 total citations
10 papers, 524 citations indexed

About

Mike Plumpe is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Mike Plumpe has authored 10 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Mike Plumpe's work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). Mike Plumpe is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). Mike Plumpe collaborates with scholars based in United States. Mike Plumpe's co-authors include Thomas F. Quatieri, D.A. Reynolds, Alex Acero, Xuedong Huang, Li Deng, Hsiao-Wuen Hon, Jingsong Liu, John Goldsmith, John Adcock and Lì Jiāng and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing, SSW and 4th International Conference on Spoken Language Processing (ICSLP 1996).

In The Last Decade

Mike Plumpe

10 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Mike Plumpe	470	375	77	51	48	10	524
Hannah Muckenhirn	403 0.9×	414 1.1×	26 0.3×	19 0.4×	36 0.8×	11	483
Ibon Saratxaga	476 1.0×	512 1.4×	83 1.1×	53 1.0×	71 1.5×	34	612
Olivier Deroo	375 0.8×	259 0.7×	110 1.4×	26 0.5×	67 1.4×	19	515
Mohamed Faouzi BenZeghiba	354 0.8×	238 0.6×	76 1.0×	24 0.5×	104 2.2×	20	477
Kåre Sjölander	317 0.7×	226 0.6×	182 2.4×	26 0.5×	44 0.9×	10	467
Da-Rong Liu	435 0.9×	297 0.8×	59 0.8×	14 0.3×	23 0.5×	9	501
Rob Clark	473 1.0×	323 0.9×	26 0.3×	15 0.3×	64 1.3×	11	560
Jithendra Vepa	335 0.7×	339 0.9×	103 1.3×	6 0.1×	47 1.0×	24	474
Javier Latorre	496 1.1×	376 1.0×	71 0.9×	10 0.2×	51 1.1×	35	553
Wei-Cheng Tseng	360 0.8×	244 0.7×	57 0.7×	13 0.3×	18 0.4×	10	487

Countries citing papers authored by Mike Plumpe

Since Specialization

Citations

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

Fields of papers citing papers by Mike Plumpe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Plumpe

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Plumpe. A scholar is included among the top collaborators of Mike Plumpe 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 Mike Plumpe. Mike Plumpe 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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