Marcia Haag

25 total papers · 480 total citations
11 papers, 202 citations indexed

About

Marcia Haag is a scholar working on Language and Linguistics, Linguistics and Language and Experimental and Cognitive Psychology. According to data from OpenAlex, Marcia Haag has authored 11 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Language and Linguistics, 3 papers in Linguistics and Language and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Marcia Haag's work include Latin American history and culture (2 papers), Linguistic Variation and Morphology (2 papers) and Phonetics and Phonology Research (2 papers). Marcia Haag is often cited by papers focused on Latin American history and culture (2 papers), Linguistic Variation and Morphology (2 papers) and Phonetics and Phonology Research (2 papers). Marcia Haag collaborates with scholars based in United States. Marcia Haag's co-authors include Richard A. Demers, Adrian Akmajian, Robert M. Harnish, Ann Farmer, Brian Swann, H. Parker Willis and Keith Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Language.

In The Last Decade

Marcia Haag

9 papers receiving 168 citations

Author Peers

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

Author						Papers	Cites
Marcia Haag	92	40	33	32	31	11	202
Geoffrey Finch	142 1.5×	53 1.3×	31 0.9×	29 0.9×	34 1.1×	12	253
Nick Wilson	145 1.6×	30 0.8×	33 1.0×	86 2.7×	42 1.4×	8	258
Nick Riemer	118 1.3×	81 2.0×	30 0.9×	14 0.4×	16 0.5×	17	196
Stephen Wattam	77 0.8×	50 1.3×	76 2.3×	18 0.6×	26 0.8×	11	235
Gunilla Anderman	197 2.1×	41 1.0×	44 1.3×	15 0.5×	22 0.7×	17	260
Brian Clancy	185 2.0×	63 1.6×	27 0.8×	48 1.5×	24 0.8×	12	233
Patrick Griffiths	140 1.5×	36 0.9×	23 0.7×	16 0.5×	27 0.9×	6	205
Holger Limberg	150 1.6×	38 0.9×	13 0.4×	15 0.5×	29 0.9×	10	195
Claudia Claridge	144 1.6×	76 1.9×	31 0.9×	69 2.2×	23 0.7×	21	211
H. W. Fowler	101 1.1×	32 0.8×	18 0.5×	53 1.7×	17 0.5×	12	224

Countries citing papers authored by Marcia Haag

Since Specialization

Citations

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

Fields of papers citing papers by Marcia Haag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia Haag

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