Chris Montgomery

474 total citations
11 papers, 142 citations indexed

About

Chris Montgomery is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Chris Montgomery has authored 11 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Linguistics and Language, 5 papers in Language and Linguistics and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Chris Montgomery's work include Linguistic Variation and Morphology (8 papers), Spanish Linguistics and Language Studies (3 papers) and Linguistics, Language Diversity, and Identity (3 papers). Chris Montgomery is often cited by papers focused on Linguistic Variation and Morphology (8 papers), Spanish Linguistics and Language Studies (3 papers) and Linguistics, Language Diversity, and Identity (3 papers). Chris Montgomery collaborates with scholars based in United Kingdom, United States and Switzerland. Chris Montgomery's co-authors include Emma Moore, Andrea Nini, Jack Grieve, Diansheng Guo, Akira Murakami, Jennifer Cramer, Matthew D. Jackson, Flavio V. Souza, Nannan Song and Gareth Walker and has published in prestigious journals such as Language, Journal of Sociolinguistics and American Speech.

In The Last Decade

Chris Montgomery

9 papers receiving 129 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chris Montgomery United Kingdom	6	114	91	38	17	8	11	142
Renata Enghels Belgium	7	42 0.4×	130 1.4×	72 1.9×	22 1.3×	6 0.8×	55	159
Stefan Dollinger Canada	8	134 1.2×	124 1.4×	31 0.8×	9 0.5×	3 0.4×	28	161
Renata Szczepaniak Germany	8	46 0.4×	143 1.6×	52 1.4×	25 1.5×	3 0.4×	27	164
Lukas Pietsch Germany	5	82 0.7×	109 1.2×	23 0.6×	9 0.5×	3 0.4×	6	118
Jan Wohlgemuth Germany	4	61 0.5×	87 1.0×	25 0.7×	19 1.1×	2 0.3×	5	116
D. Victoria Rau Taiwan	6	57 0.5×	66 0.7×	51 1.3×	20 1.2×	7 0.9×	21	113
Kathryn Allan United Kingdom	5	31 0.3×	52 0.6×	30 0.8×	21 1.2×	6 0.8×	7	91
Anna Margetts Australia	8	77 0.7×	117 1.3×	55 1.4×	30 1.8×	2 0.3×	19	152
Minna Palander‐Collin Finland	6	64 0.6×	89 1.0×	20 0.5×	21 1.2×	3 0.4×	10	118
Jonathan Morris United Kingdom	7	99 0.9×	53 0.6×	82 2.2×	10 0.6×	3 0.4×	18	114

Countries citing papers authored by Chris Montgomery

Since Specialization

Citations

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

Fields of papers citing papers by Chris Montgomery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Montgomery

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Montgomery. A scholar is included among the top collaborators of Chris Montgomery 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 Chris Montgomery. Chris Montgomery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Montgomery, Chris, Gareth Walker, & Helen Buckley Woods. (2025). Salient Language in Context (SLIC): a web app for collecting real-time attention data in response to audio samples. Linguistics Vanguard. 11(1). 397–406.

Montgomery, Chris, et al.. (2024). Broad, strong, and soft: Using geospatial analysis to understand folk-linguistic terminology. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12(1). 44–56. 1 indexed citations

Song, Nannan, et al.. (2021). USING MULTISCALE MODELING TO ADVANCE INDUSTRIAL AND RESEARCH APPLICATIONS OF ADVANCED MATERIALS. International Journal for Multiscale Computational Engineering. 19(4). 57–75. 7 indexed citations

Montgomery, Chris. (2020). Brains, Ears, and Eyes on Language. American Speech. 95(3). 356–363.

Montgomery, Chris, et al.. (2020). A Comparison of Armington Elasticity Estimates in the Trade Literature. AgEcon Search (University of Minnesota, USA). 1 indexed citations

Grieve, Jack, Chris Montgomery, Andrea Nini, Akira Murakami, & Diansheng Guo. (2019). Mapping Lexical Dialect Variation in British English Using Twitter. Frontiers in Artificial Intelligence. 2. 11–11. 40 indexed citations

Montgomery, Chris & Emma Moore. (2018). Evaluating S(C)Illy Voices: The Effects of Salience, Stereotypes, and Co-Present Language Variables on Real-Time Reactions to Regional Speech. Language. 94(3). 629–661. 20 indexed citations

Cramer, Jennifer & Chris Montgomery. (2016). Cityscapes and Perceptual Dialectology. 8 indexed citations

Montgomery, Chris, et al.. (2013). Geographic information systems and perceptual dialectology: a method for processing draw-a-map data. Zurich Open Repository and Archive (University of Zurich). 1(1). 52–85. 26 indexed citations

10.

Montgomery, Chris. (2012). The effect of proximity in perceptual dialectology. Journal of Sociolinguistics. 16(5). 638–668. 37 indexed citations

11.

Montgomery, Chris, et al.. (2009). Teachers of Students With Deafblindness: Professionalizing the Field. 2 indexed citations

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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