David F. Dufty

432 total citations
11 papers, 230 citations indexed

About

David F. Dufty is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, David F. Dufty has authored 11 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 1 paper in Social Psychology. Recurrent topics in David F. Dufty's work include Topic Modeling (6 papers), Text Readability and Simplification (5 papers) and Reading and Literacy Development (4 papers). David F. Dufty is often cited by papers focused on Topic Modeling (6 papers), Text Readability and Simplification (5 papers) and Reading and Literacy Development (4 papers). David F. Dufty collaborates with scholars based in United States. David F. Dufty's co-authors include Danielle S. McNamara, Philip M. McCarthy, Arthur C. Graesser, Moongee Jeon, Gwyneth A. Lewis, Scott A. Crossley, Zhiqiang Cai, Christian F. Hempelmann, Max M. Louwerse and Grant Harman and has published in prestigious journals such as Discourse Processes, Labour History and eScholarship (California Digital Library).

In The Last Decade

David F. Dufty

10 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David F. Dufty United States	7	176	92	33	22	20	11	230
Matthieu Quignard France	7	47 0.3×	131 1.4×	73 2.2×	12 0.5×	12 0.6×	31	195
Philippe Dessus France	7	74 0.4×	61 0.7×	43 1.3×	38 1.7×	8 0.4×	35	180
Barbara Dragsted Denmark	13	288 1.6×	62 0.7×	27 0.8×	17 0.8×	6 0.3×	21	489
Douglas C. Merrill United States	3	173 1.0×	167 1.8×	76 2.3×	18 0.8×	13 0.7×	4	293
Yanfang Su Hong Kong	4	185 1.1×	87 0.9×	78 2.4×	33 1.5×	7 0.3×	7	342
Yugo Hayashi Japan	7	80 0.5×	55 0.6×	25 0.8×	16 0.7×	44 2.2×	39	174
Yosuke Sasao Japan	5	180 1.0×	305 3.3×	25 0.8×	18 0.8×	15 0.8×	7	362
Wenhua Hsu Taiwan	9	119 0.7×	198 2.2×	77 2.3×	34 1.5×	4 0.2×	26	341
Kanglong Liu Hong Kong	11	162 0.9×	43 0.5×	15 0.5×	11 0.5×	6 0.3×	47	311
Tengku Sepora Tengku Mahadi Malaysia	8	65 0.4×	47 0.5×	65 2.0×	51 2.3×	4 0.2×	43	258

Countries citing papers authored by David F. Dufty

Since Specialization

Citations

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

Fields of papers citing papers by David F. Dufty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Dufty. 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 David F. Dufty. The network helps show where David F. Dufty may publish in the future.

Co-authorship network of co-authors of David F. Dufty

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Dufty. A scholar is included among the top collaborators of David F. Dufty 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 David F. Dufty. David F. Dufty 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:

11 of 11 papers shown

1.

Graesser, Arthur C., Moongee Jeon, & David F. Dufty. (2008). Agent Technologies Designed to Facilitate Interactive Knowledge Construction. Discourse Processes. 45(4-5). 298–322. 71 indexed citations

2.

Crossley, Scott A., David F. Dufty, Philip M. McCarthy, & Danielle S. McNamara. (2007). Toward a New Readability: A Mixed Model Approach. eScholarship (California Digital Library). 29(29). 35 indexed citations

3.

McCarthy, Philip M., et al.. (2007). Using Computational Text Analysis Tools to Compare the Lyrics of Suicidal and Non-Suicidal Songwriters. eScholarship (California Digital Library). 29(29). 15 indexed citations

4.

McCarthy, Philip M., et al.. (2007). Cohesion and Structural Organization in High School Texts.. The Florida AI Research Society. 235–240. 6 indexed citations

5.

McCarthy, Philip M., Gwyneth A. Lewis, David F. Dufty, & Danielle S. McNamara. (2006). Analyzing Writing Styles with Coh-Metrix.. The Florida AI Research Society. 764–769. 63 indexed citations

6.

Dufty, David F., et al.. (2006). Using Coh-Metrix to Access Cohesion and Difficulty in High-School Textbooks. eScholarship (California Digital Library). 28(28).

7.

Dufty, David F., Arthur C. Graesser, Max M. Louwerse, & Danielle S. McNamara. (2006). Assigning Grade Levels to Textbooks: Is It Just Readability?. eScholarship (California Digital Library). 28(28). 9 indexed citations

8.

Cai, Zhiqiang, David F. Dufty, Arthur C. Graesser, et al.. (2005). Using LSA to Automatically Identify Givenness and Newness of Noun Phrases in Written Discourse. eScholarship (California Digital Library). 27(27). 23 indexed citations

9.

Dufty, David F., Danielle S. McNamara, Max M. Louwerse, Ziqiang Cai, & Arthur C. Graesser. (2004). Automatic evaluation of aspects of document quality. 14–16. 5 indexed citations

10.

Dufty, David F., et al.. (1989). Greenhouse alert! : a learner's handbook. Medical Entomology and Zoology. 1 indexed citations

11.

White, R. L., et al.. (1974). Historians at Work: Investigating and Recreating the Past. Labour History. 88–88. 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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