James Dean Brown

11.7k total citations · 1 hit paper
155 papers, 6.6k citations indexed

About

James Dean Brown is a scholar working on Language and Linguistics, Literature and Literary Theory and Education. According to data from OpenAlex, James Dean Brown has authored 155 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Language and Linguistics, 31 papers in Literature and Literary Theory and 28 papers in Education. Recurrent topics in James Dean Brown's work include EFL/ESL Teaching and Learning (48 papers), Second Language Learning and Teaching (22 papers) and Hydrology and Watershed Management Studies (22 papers). James Dean Brown is often cited by papers focused on EFL/ESL Teaching and Learning (48 papers), Second Language Learning and Teaching (22 papers) and Hydrology and Watershed Management Studies (22 papers). James Dean Brown collaborates with scholars based in United States, Netherlands and United Kingdom. James Dean Brown's co-authors include Thom Hudson, Dale L. Lange, Theodore S. Rodgers, Jens Christian Refsgaard, Julie Demargne, Dong-Jun Seo, Peter van der Keur, J.P. van der Sluijs, Kathleen M. Bailey and Dong‐Jun Seo and has published in prestigious journals such as Analytical Chemistry, Water Resources Research and IEEE Transactions on Image Processing.

In The Last Decade

James Dean Brown

146 papers receiving 5.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Elements of Language Curriculum: A Systematic Approach to Program Development

1996 389 citations James Dean Brown et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Dean Brown United States	41	2.2k	1.6k	1.5k	1.4k	1.3k	155	6.6k
Piet Desmet Belgium	29	847 0.4×	148 0.1×	228 0.2×	341 0.2×	379 0.3×	132	3.0k
Sally Brown United Kingdom	39	48 0.0×	1.9k 1.2×	66 0.0×	1.7k 1.2×	241 0.2×	177	6.6k
Daniel B. Wright United States	46	52 0.0×	1.5k 0.9×	71 0.0×	157 0.1×	794 0.6×	214	6.3k
Liu Li China	36	63 0.0×	382 0.2×	96 0.1×	130 0.1×	162 0.1×	500	5.4k
Peter K. Dunn Australia	27	82 0.0×	614 0.4×	19 0.0×	295 0.2×	135 0.1×	91	3.0k
David Levinson United States	48	165 0.1×	703 0.4×	32 0.0×	156 0.1×	17 0.0×	489	9.5k
Carl J. Huberty United States	27	68 0.0×	168 0.1×	67 0.0×	767 0.5×	45 0.0×	79	5.4k
Stephen G. Jurs United States	14	96 0.0×	63 0.0×	79 0.1×	1.0k 0.7×	47 0.0×	30	5.2k
J. Richard Eiser United Kingdom	42	56 0.0×	520 0.3×	189 0.1×	213 0.1×	32 0.0×	218	7.3k
William Wiersma United States	9	94 0.0×	61 0.0×	79 0.1×	1.1k 0.8×	47 0.0×	37	4.9k

Countries citing papers authored by James Dean Brown

Since Specialization

Citations

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

Fields of papers citing papers by James Dean Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Dean Brown. 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 James Dean Brown. The network helps show where James Dean Brown may publish in the future.

Co-authorship network of co-authors of James Dean Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hartman, Robert, J. Mendoza, Michael D. Dettinger, et al.. (2020). Forecast Informed Reservoir Operations Using Ensemble Streamflow Predictions for a Multipurpose Reservoir in Northern California. Water Resources Research. 56(9). 84 indexed citations

2.

Brown, James Dean. (2019). Assessment Feedback. The Journal of AsiaTEFL. 16(1). 334–344. 4 indexed citations

3.

Purpura, James E., James Dean Brown, & Rob Schoonen. (2015). Improving the Validity of Quantitative Measures in Applied Linguistics Research1. Language Learning. 65(S1). 37–75. 37 indexed citations

4.

Brown, James Dean, Maria‐Helena Ramos, & Nathalie Voisin. (2013). Intercomparison of streamflow postprocessing techniques: first results of a HEPEX community experiment. EGU General Assembly Conference Abstracts. 2 indexed citations

5.

Liu, Yuqiong, James Dean Brown, Julie Demargne, & Dong‐Jun Seo. (2010). Using Wavelet Analysis to Assess Timing Errors in Streamflow Predictions. EGU General Assembly Conference Abstracts. 5456. 1 indexed citations

6.

Brown, James Dean & Dong-Jun Seo. (2010). A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts. Journal of Hydrometeorology. 11(3). 642–665. 68 indexed citations

7.

Brown, James Dean. (2010). How are PCA and EFA used in language research. 2 indexed citations

8.

Seo, D., et al.. (2008). Ensemble Data Assimilation for Channel Flow Routing to Improve Operational Hydrologic Forecasting. AGUFM. 2008. 1 indexed citations

9.

Brown, James Dean & Kathleen M. Bailey. (2008). Language testing courses: What are they in 2007?. Language Testing. 25(3). 349–383. 65 indexed citations

10.

Bruin, Sytze de, G.B.M. Heuvelink, & James Dean Brown. (2008). Propagation of positional measurement errors to agricultural field boundaries and associated costs. Computers and Electronics in Agriculture. 63(2). 245–256. 18 indexed citations

11.

Brown, James Dean & Kimi Kondo‐Brown. (2006). Perspectives on teaching connected speech to second language speakers. 37 indexed citations

12.

Klauer, Bernd & James Dean Brown. (2004). Conceptualising imperfect knowledge in public decision-making: ignorance, uncertainty, error and risk situations. UvA-DARE (University of Amsterdam). 22 indexed citations

13.

Brown, James Dean, G.B.M. Heuvelink, & Jens Christian Refsgaard. (2004). An integrated framework for assessing uncertainties in environmental data. Water Science & Technology. 52(6). 152–160. 2 indexed citations

14.

Brown, James Dean. (2002). DO CLOZE TESTS WORK? OR, IS IT JUST AN ILLUSION?. ScholarSpace (University of Hawaii at Manoa). 31(4). 782–7. 25 indexed citations

15.

Thomalla, Frank, James Dean Brown, Ilan Kelman, et al.. (2002). Towards an Integrated Approach for Coastal Flood Impact Assessment. 142–158. 5 indexed citations

16.

Brown, James Dean. (2000). Statistics Corner Questions and answers about language testing statistics. 6 indexed citations

17.

Brown, James Dean. (1998). New ways of classroom assessment. 32 indexed citations

18.

Brown, James Dean. (1997). Computers in language testing: Present research and some future directions. Language learning & technology. 1(1). 44–59. 76 indexed citations

19.

Brown, James Dean. (1997). Designing Surveys for Language Programs.. 2 indexed citations

20.

Brown, James Dean. (1992). TECHNOLOGY AND LANGUAGE EDUCATION IN THE TWENTY-FIRST CENTURY : MEDIA, MESSAGE, AND METHOD. 1–22. 4 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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