Daniel P. Corts

455 total citations
10 papers, 237 citations indexed

About

Daniel P. Corts is a scholar working on Experimental and Cognitive Psychology, Education and Language and Linguistics. According to data from OpenAlex, Daniel P. Corts has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 4 papers in Education and 3 papers in Language and Linguistics. Recurrent topics in Daniel P. Corts's work include Language, Discourse, Communication Strategies (3 papers), Language, Metaphor, and Cognition (3 papers) and Higher Education Research Studies (2 papers). Daniel P. Corts is often cited by papers focused on Language, Discourse, Communication Strategies (3 papers), Language, Metaphor, and Cognition (3 papers) and Higher Education Research Studies (2 papers). Daniel P. Corts collaborates with scholars based in United States. Daniel P. Corts's co-authors include Howard R. Pollio, Holly E. Tatum, John W. Lounsbury, Richard A. Saudargas, Diana Irwin, Yu-Hsiang Wu, Ann Perreau and Alessandra Gaia and has published in prestigious journals such as Journal of the American Academy of Audiology, Journal of Psycholinguistic Research and Discourse Studies.

In The Last Decade

Daniel P. Corts

10 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel P. Corts United States	8	90	85	53	37	37	10	237
Éva Vass Australia	9	133 1.5×	49 0.6×	30 0.6×	32 0.9×	84 2.3×	16	266
Daniel Lawless Canada	7	163 1.8×	83 1.0×	56 1.1×	18 0.5×	142 3.8×	9	304
Nicola Daly New Zealand	8	41 0.5×	64 0.8×	152 2.9×	14 0.4×	27 0.7×	57	348
Dorothy Heathcote United Kingdom	8	259 2.9×	36 0.4×	43 0.8×	14 0.4×	43 1.2×	12	494
Ana Marjanović-Shane United States	13	343 3.8×	40 0.5×	37 0.7×	15 0.4×	59 1.6×	37	445
Andrew Lambirth United Kingdom	12	233 2.6×	40 0.5×	39 0.7×	10 0.3×	84 2.3×	33	320
Rebecca Kantor United States	14	228 2.5×	41 0.5×	101 1.9×	30 0.8×	177 4.8×	20	432
Rebecca Hun Ping Cheung Hong Kong	11	236 2.6×	160 1.9×	13 0.2×	45 1.2×	62 1.7×	17	418
Sônia Zyngier Brazil	11	48 0.5×	170 2.0×	118 2.2×	26 0.7×	69 1.9×	34	370
M. Kay Alderman United States	8	261 2.9×	61 0.7×	39 0.7×	12 0.3×	126 3.4×	12	409

Countries citing papers authored by Daniel P. Corts

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Corts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Corts. 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 Daniel P. Corts. The network helps show where Daniel P. Corts may publish in the future.

Co-authorship network of co-authors of Daniel P. Corts

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

All Works

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10 of 10 papers shown

1.

Corts, Daniel P., et al.. (2019). Ethics in Psychological Research: A Practical Guide for the Student Scientist. 1 indexed citations

2.

Perreau, Ann, et al.. (2017). Listening Effort Measured in Adults with Normal Hearing and Cochlear Implants. Journal of the American Academy of Audiology. 28(8). 685–697. 38 indexed citations

3.

Corts, Daniel P., et al.. (2012). Parental Involvement and the Theory of Planned Behavior. 133(1). 188–201. 19 indexed citations

4.

Corts, Daniel P., et al.. (2011). The College Motives Scale: Classifying Motives for Entering College. 131(4). 775. 9 indexed citations

5.

Corts, Daniel P., et al.. (2008). Measuring Attitudes towards Sorority and Fraternity Members: Indication of Implicit, Ingroup Favoritism.. College student journal. 42(3). 842–846. 3 indexed citations

6.

Corts, Daniel P.. (2006). Factors characterizing bursts of figurative language and gesture in college lectures. Discourse Studies. 8(2). 211–233. 17 indexed citations

7.

Gaia, Alessandra, et al.. (2003). The GTA Mentoring Program: An Interdisciplinary Approach to Developing Future Faculty as Teacher-Scholars. College Teaching. 51(2). 61–65. 28 indexed citations

8.

Corts, Daniel P., et al.. (2002). Conceptual Clusters in Figurative Language Production. Journal of Psycholinguistic Research. 31(4). 391–408. 31 indexed citations

9.

Corts, Daniel P., John W. Lounsbury, Richard A. Saudargas, & Holly E. Tatum. (2000). Assessing Undergraduate Satisfaction with an Academic Department: A Method and Case Study. College student journal. 34(3). 399–399. 47 indexed citations

10.

Corts, Daniel P. & Howard R. Pollio. (1999). Spontaneous Production of Figurative Language and Gesture in College Lectures. Metaphor and Symbol. 14(2). 81–100. 44 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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