Philip Miller

88 total papers · 1.1k total citations
25 papers, 342 citations indexed

About

Philip Miller is a scholar working on Language and Linguistics, Artificial Intelligence and Philosophy. According to data from OpenAlex, Philip Miller has authored 25 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Language and Linguistics, 9 papers in Artificial Intelligence and 6 papers in Philosophy. Recurrent topics in Philip Miller's work include Syntax, Semantics, Linguistic Variation (12 papers), Natural Language Processing Techniques (7 papers) and Linguistics and Discourse Analysis (6 papers). Philip Miller is often cited by papers focused on Syntax, Semantics, Linguistic Variation (12 papers), Natural Language Processing Techniques (7 papers) and Linguistics and Discourse Analysis (6 papers). Philip Miller collaborates with scholars based in France, United States and Belgium. Philip Miller's co-authors include Geoffrey K. Pullum, Arnold M. Zwicky, Ronnie Cann, Claire Grover, Anne Abeillé, Danièle Godard, Barbara Hemforth, Anne Zribi-Hertz, Jonathan Ginzburg and Alan Sheridan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Linguistics and Philosophy and Journal of Linguistics.

In The Last Decade

Philip Miller

19 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Philip Miller	239	193	90	67	63	25	342
Lucas Champollion	229 1.0×	219 1.1×	67 0.7×	81 1.2×	25 0.4×	34	354
Christopher Culy	250 1.0×	182 0.9×	49 0.5×	89 1.3×	70 1.1×	17	367
Hisatsugu Kitahara	274 1.1×	160 0.8×	48 0.5×	55 0.8×	36 0.6×	20	316
Michael Brody	268 1.1×	158 0.8×	60 0.7×	81 1.2×	61 1.0×	17	332
Anikó Lipták	306 1.3×	177 0.9×	44 0.5×	92 1.4×	72 1.1×	39	334
Werner Frey	278 1.2×	145 0.8×	42 0.5×	84 1.3×	62 1.0×	20	331
Elizabeth Coppock	276 1.2×	124 0.6×	77 0.9×	79 1.2×	86 1.4×	36	348
Yasutada Sudo	240 1.0×	110 0.6×	64 0.7×	85 1.3×	33 0.5×	45	334
Cornelia Endriss	259 1.1×	123 0.6×	68 0.8×	120 1.8×	40 0.6×	12	313
Carol Georgopoulos	269 1.1×	138 0.7×	36 0.4×	84 1.3×	110 1.7×	11	302

Countries citing papers authored by Philip Miller

Since Specialization

Citations

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

Fields of papers citing papers by Philip Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Miller

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