Tim McNamara

8.0k total citations · 1 hit paper
101 papers, 4.2k citations indexed

About

Tim McNamara is a scholar working on Language and Linguistics, Linguistics and Language and Literature and Literary Theory. According to data from OpenAlex, Tim McNamara has authored 101 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Language and Linguistics, 35 papers in Linguistics and Language and 30 papers in Literature and Literary Theory. Recurrent topics in Tim McNamara's work include Multilingual Education and Policy (35 papers), EFL/ESL Teaching and Learning (33 papers) and Second Language Learning and Teaching (23 papers). Tim McNamara is often cited by papers focused on Multilingual Education and Policy (35 papers), EFL/ESL Teaching and Learning (33 papers) and Second Language Learning and Teaching (23 papers). Tim McNamara collaborates with scholars based in Australia, New Zealand and Lebanon. Tim McNamara's co-authors include Robert C. Kleinsasser, Noriko Iwashita, Carsten Roever, Tom Lumley, Annie Brown, Catherine Elder, Brian K. Lynch, S. O’Hagan, Kathryn Hill and Elana Shohamy and has published in prestigious journals such as Modern Language Journal, Journal of Advanced Nursing and TESOL Quarterly.

In The Last Decade

Tim McNamara

98 papers receiving 3.5k citations

Hit Papers

Measuring Second Language Performance 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim McNamara Australia 33 2.5k 1.7k 1.4k 994 906 101 4.2k
David Carless Hong Kong 43 1.5k 0.6× 1.5k 0.9× 6.4k 4.6× 1.6k 1.6× 324 0.4× 88 8.2k
Liying Cheng Canada 29 1.2k 0.5× 952 0.6× 1.7k 1.2× 564 0.6× 369 0.4× 91 2.7k
Jamal Abedi United States 25 460 0.2× 390 0.2× 1.9k 1.4× 962 1.0× 540 0.6× 88 3.0k
Hossein Nassaji Canada 36 2.9k 1.2× 1.7k 1.0× 1.5k 1.1× 2.6k 2.6× 327 0.4× 95 4.9k
Steven L. Thorne United States 26 2.4k 1.0× 1.9k 1.1× 1.1k 0.8× 1.4k 1.5× 573 0.6× 58 4.2k
Rhonda Oliver Australia 24 1.6k 0.7× 1.3k 0.8× 879 0.6× 1.1k 1.1× 468 0.5× 130 2.7k
Peter Elbow United States 26 602 0.2× 1.0k 0.6× 1.6k 1.2× 519 0.5× 110 0.1× 95 2.8k
Donald Freeman United States 29 2.0k 0.8× 1.6k 1.0× 2.8k 2.0× 589 0.6× 740 0.8× 83 4.3k
Donald E. Powers United States 25 455 0.2× 354 0.2× 999 0.7× 555 0.6× 73 0.1× 165 2.2k
Paul ten Have Netherlands 12 1.2k 0.5× 519 0.3× 235 0.2× 209 0.2× 234 0.3× 25 2.0k

Countries citing papers authored by Tim McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Tim McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim McNamara

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

All Works

20 of 20 papers shown
1.
McNamara, Tim. (2021). Three Rothkos. Journal of Sociolinguistics. 26(5). 545–552.
2.
McNamara, Tim. (2020). The Anti-Shibboleth: The Traumatic Character of the Shibboleth as Silence. Applied Linguistics. 41(3). 334–351. 7 indexed citations
3.
Knoch, Ute, Catherine Elder, Eleanor Flynn, et al.. (2020). ‘I will go to my grave fighting for grammar’: Exploring the ability of language-trained raters to implement a professionally-relevant rating scale for writing. Assessing Writing. 46. 100488–100488. 5 indexed citations
4.
Busch, Brigitta & Tim McNamara. (2020). Language and Trauma: An Introduction. Applied Linguistics. 41(3). 323–333. 37 indexed citations
5.
Macqueen, Susy, Ute Knoch, Gillian Wigglesworth, et al.. (2018). The impact of national standardized literacy and numeracy testing on children and teaching staff in remote Australian Indigenous communities. Language Testing. 36(2). 265–287. 35 indexed citations
6.
Knoch, Ute, Tim McNamara, Robyn Woodward‐Kron, et al.. (2015). Towards improved language assessment of written health professional communication: the case of the Occupational English Test. 60–66. 3 indexed citations
7.
8.
Elder, Catherine, Tim McNamara, Robyn Woodward‐Kron, et al.. (2013). Developing and validating language proficiency standards for non-native English speaking health professionals. 66–70. 5 indexed citations
9.
Brown, Annie, Noriko Iwashita, & Tim McNamara. (2005). An Examination of Rater Orientations and Test-Taker Performance on English-for-Academic-Purposes Speaking Tasks. TOEFL® Monograph Series. MS-29. ETS RR-05-05.. ETS Research Report Series. 19 indexed citations
10.
Elder, Catherine, Tim McNamara, & Peter Congdon. (2003). Rasch techniques for detecting bias in performance assessments: an example comparing the performance of native and non-native speakers on a test of academic English.. PubMed. 4(2). 181–97. 27 indexed citations
11.
Elder, Catherine, Tim McNamara, & Peter Congdon. (2003). Understanding Rasch Measurement: Rasch Techniques for Detecting Bias in Performance Assessments: An Example Comparing the Performance of Native and Non-native Speakers on a Test of Academic English.. 4(2). 7 indexed citations
12.
McNamara, Tim, Kathryn Hill, & Lyn May. (2002). 12. DISCOURSE AND ASSESSMENT. Annual Review of Applied Linguistics. 22. 221–242. 39 indexed citations
13.
McNamara, Tim & Kieran O’Loughlin. (2001). Experimenting with Uncertainty: Essays in Honour of Alan Davies. Cambridge University Press eBooks. 11. 77 indexed citations
14.
McNamara, Tim. (2001). Language assessment as social practice: challenges for research. Language Testing. 18(4). 333–349. 130 indexed citations
15.
Iwashita, Noriko, Tim McNamara, & Catherine Elder. (2001). Can We Predict Task Difficulty in an Oral Proficiency Test? Exploring the Potential of an Information‐Processing Approach to Task Design. Language Learning. 51(3). 401–436. 131 indexed citations
16.
Lynch, Brian K. & Tim McNamara. (1998). Using G-theory and Many-facet Rasch measurement in the development of performance assessments of the ESL speaking skills of immigrants. Language Testing. 15(2). 158–180. 133 indexed citations
17.
McNamara, Tim. (1997). What Do We Mean by Social Identity? Competing Frameworks, Competing Discourses. TESOL Quarterly. 31(3). 16 indexed citations
18.
McNamara, Tim, et al.. (1997). Ascites ‐ an Unusual Association with Pelvic Inflammatory Disease. Australian and New Zealand Journal of Obstetrics and Gynaecology. 37(4). 477–479. 1 indexed citations
19.
Saville, Nick, Caroline Clapham, Alan Davies, et al.. (1996). Performance testing, cognition and assessment : selected papers from the 15th Language Testing Research Colloquium (LTRC), Cambridge and Arnhem. Cambridge University Press eBooks. 19 indexed citations
20.
McNamara, Tim, et al.. (1976). Intravenous use of fructose in the detoxification of alcoholics. A ten-month study.. PubMed. 72(1). 27–31. 1 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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