Phil Rose

970 citations
54 papers · 635 · h-index 13

Impact in

Papers in

Phil Rose

38 papers receiving 518 citations

Peers

Phil Rose
Comparison fields: 5 of 80
  • Linguistics and Language 129
  • Signal Processing 276
  • Experimental and Cognitive Psychology 256
  • Artificial Intelligence 380
  • Language and Linguistics 40
Replace Keelan Evanini with:
Keelan Evanini United States
Matteo Gerosa Italy
Nancy Niedzielski United States
Ambra Neri Netherlands
Judith Rosenhouse Israel
Christine H. Nakatani United States
Zion Mengesha United States
Frances Ingemann United States
Jacqueline Kowtko United Kingdom
Charlotte Gooskens Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Phil Rose

Since Specialization
Citations

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

Fields of papers citing papers by Phil Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Phil Rose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phil Rose Line = papers co-authored together Phil Rose links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007119
2 1987101
3 200570
4 201446
5 200933
6 199131
7 199025
8 198925
9 199917
10 201317
11 199317
12 199515
13 201015
14 200511
15 201310
16 20178
17 20007
18 20167
19 19896
20 20156

About Phil Rose

Phil Rose is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Linguistics and Language and Sociology and Political Science, having authored 54 papers that have together received 635 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (18 papers), Phonetics and Phonology Research (14 papers), Music and Audio Processing (14 papers), Linguistic Variation and Morphology (9 papers), Media, Communication, and Education (4 papers), Natural Language Processing Techniques (3 papers) and Chinese history and philosophy (3 papers). The work is most often cited by research in Linguistics and Language (129 citations), Signal Processing (276 citations), Experimental and Cognitive Psychology (256 citations), Artificial Intelligence (380 citations) and Language and Linguistics (40 citations). Phil Rose has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Javier Ortega-García, Joaquín González-Rodríguez, Doroteo T. Toledano, Daniel Ramos, Geoffrey Stewart Morrison, Steve Haake, Lei Tao, Tianle Yang, Yuko Kinoshita and Jesse Gillis. Their work appears in journals such as Journal of Contemporary Religion, Speech Communication, Computer Speech & Language, Oceanic Linguistics and The Journal of the Acoustical Society of America.

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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