Joan C. Beal

169 total papers · 1.7k total citations
43 papers, 414 citations indexed

About

Joan C. Beal is a scholar working on Language and Linguistics, Linguistics and Language and Experimental and Cognitive Psychology. According to data from OpenAlex, Joan C. Beal has authored 43 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Language and Linguistics, 27 papers in Linguistics and Language and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Joan C. Beal's work include Linguistic Variation and Morphology (26 papers), Lexicography and Language Studies (19 papers) and Historical Linguistics and Language Studies (9 papers). Joan C. Beal is often cited by papers focused on Linguistic Variation and Morphology (26 papers), Lexicography and Language Studies (19 papers) and Historical Linguistics and Language Studies (9 papers). Joan C. Beal collaborates with scholars based in United Kingdom, Spain and Italy. Joan C. Beal's co-authors include Carmen Llamas, Karen P. Corrigan, Hermann Moisl, Anne‐Marie Simon‐Vandenbergen, Charles A. Ferguson, Shirley Brice Heath, Philip Shaw, William A. Kretzschmar, Charles Barber and Susan Fitzmaurice and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language in Society and The Modern Language Review.

In The Last Decade

Joan C. Beal

41 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Joan C. Beal	340	300	80	34	33	43	414
Suzanne Evans Wagner	358 1.1×	215 0.7×	181 2.3×	19 0.6×	24 0.7×	20	431
Laura Wright	207 0.6×	189 0.6×	52 0.7×	62 1.8×	28 0.8×	42	382
Annette D’Onofrio	343 1.0×	198 0.7×	274 3.4×	39 1.1×	27 0.8×	20	472
J. L. Dillard	252 0.7×	181 0.6×	69 0.9×	40 1.2×	19 0.6×	25	379
Nigel Armstrong	267 0.8×	258 0.9×	119 1.5×	31 0.9×	19 0.6×	30	381
Glanville Price	218 0.6×	318 1.1×	94 1.2×	21 0.6×	19 0.6×	42	458
Peter L. Patrick	314 0.9×	266 0.9×	118 1.5×	39 1.1×	10 0.3×	23	449
Ingrid Tieken‐Boon van Ostade	272 0.8×	323 1.1×	39 0.5×	36 1.1×	49 1.5×	52	405
Juan Manuel Hernández Campoy	315 0.9×	312 1.0×	92 1.1×	41 1.2×	54 1.6×	53	401
Claude Hagège	201 0.6×	297 1.0×	60 0.8×	37 1.1×	15 0.5×	57	472

Countries citing papers authored by Joan C. Beal

Since Specialization

Citations

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

Fields of papers citing papers by Joan C. Beal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan C. Beal. 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 Joan C. Beal. The network helps show where Joan C. Beal may publish in the future.

Co-authorship network of co-authors of Joan C. Beal

This figure shows the co-authorship network connecting the top 25 collaborators of Joan C. Beal. A scholar is included among the top collaborators of Joan C. Beal 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 Joan C. Beal. Joan C. Beal 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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