Dennis E. Keefe

1.6k total citations
9 papers, 1.0k citations indexed

About

Dennis E. Keefe is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Dennis E. Keefe has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Developmental and Educational Psychology, 4 papers in Cognitive Neuroscience and 1 paper in Social Psychology. Recurrent topics in Dennis E. Keefe's work include Reading and Literacy Development (5 papers), Neurobiology of Language and Bilingualism (4 papers) and Advanced Text Analysis Techniques (1 paper). Dennis E. Keefe is often cited by papers focused on Reading and Literacy Development (5 papers), Neurobiology of Language and Bilingualism (4 papers) and Advanced Text Analysis Techniques (1 paper). Dennis E. Keefe collaborates with scholars based in United States and Germany. Dennis E. Keefe's co-authors include James H. Neely, Mark A. McDaniel, Barbara R. Sarason, Bob E. Hayes, Edward N. Shearin, Irwin G. Sarason, Franz Schmalhofer, Torleif Ericson, Jan Nilsson and H. Rollnik and has published in prestigious journals such as Journal of Personality and Social Psychology, Physics Today and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Dennis E. Keefe

9 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis E. Keefe United States	7	714	528	334	155	92	9	1.0k
Robert E. Guttentag United States	21	885 1.2×	855 1.6×	340 1.0×	250 1.6×	118 1.3×	45	1.4k
Randi C. Martin United States	12	991 1.4×	790 1.5×	346 1.0×	105 0.7×	127 1.4×	18	1.3k
Maria Augustinova France	17	721 1.0×	340 0.6×	342 1.0×	193 1.2×	101 1.1×	45	999
Margrit Glaser Germany	4	1.0k 1.5×	513 1.0×	535 1.6×	159 1.0×	52 0.6×	5	1.3k
Carlos J. Gómez‐Ariza Spain	19	936 1.3×	335 0.6×	366 1.1×	105 0.7×	140 1.5×	63	1.2k
Heather Bailey United States	18	766 1.1×	334 0.6×	396 1.2×	129 0.8×	108 1.2×	34	1.1k
Ewald Neumann New Zealand	15	654 0.9×	288 0.5×	246 0.7×	89 0.6×	31 0.3×	49	878
Lise Abrams United States	16	677 0.9×	452 0.9×	283 0.8×	116 0.7×	73 0.8×	46	952
Trevor A. Harley United Kingdom	19	874 1.2×	656 1.2×	427 1.3×	105 0.7×	210 2.3×	43	1.3k
Dana Basnight-Brown United States	14	523 0.7×	439 0.8×	291 0.9×	135 0.9×	55 0.6×	25	842

Countries citing papers authored by Dennis E. Keefe

Since Specialization

Citations

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

Fields of papers citing papers by Dennis E. Keefe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis E. Keefe. 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 Dennis E. Keefe. The network helps show where Dennis E. Keefe may publish in the future.

Co-authorship network of co-authors of Dennis E. Keefe

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis E. Keefe. A scholar is included among the top collaborators of Dennis E. Keefe 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 Dennis E. Keefe. Dennis E. Keefe 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:

9 of 9 papers shown

1.

Keefe, Dennis E.. (2015). Andragogy in the Appalachians. RePEc: Research Papers in Economics. 6(3). 16–30. 4 indexed citations

2.

Schmalhofer, Franz, Mark A. McDaniel, & Dennis E. Keefe. (2002). A Unified Model for Predictive and Bridging Inferences. Discourse Processes. 33(2). 105–132. 77 indexed citations

3.

McDaniel, Mark A., Franz Schmalhofer, & Dennis E. Keefe. (2001). What is minimal about predictive inferences?. Psychonomic Bulletin & Review. 8(4). 840–846. 24 indexed citations

4.

Keefe, Dennis E. & Mark A. McDaniel. (1993). The Time Course and Durability of Predictive Inferences. Journal of Memory and Language. 32(4). 446–463. 110 indexed citations

5.

Keefe, Dennis E. & James H. Neely. (1990). Semantic priming in the pronunciation task: The role of prospective prime-generated expectancies. Memory & Cognition. 18(3). 289–298. 93 indexed citations

6.

Neely, James H., et al.. (1989). Semantic priming in the lexical decision task: Roles of prospective prime-generated expectancies and retrospective semantic matching.. Journal of Experimental Psychology Learning Memory and Cognition. 15(6). 1003–1019. 335 indexed citations

7.

Neely, James H., et al.. (1989). Semantic priming in the lexical decision task: Roles of prospective prime-generated expectancies and retrospective semantic matching.. Journal of Experimental Psychology Learning Memory and Cognition. 15(6). 1003–1019. 208 indexed citations

8.

Sarason, Irwin G., Barbara R. Sarason, Dennis E. Keefe, Bob E. Hayes, & Edward N. Shearin. (1986). Cognitive interference: Situational determinants and traitlike characteristics.. Journal of Personality and Social Psychology. 51(1). 215–226. 181 indexed citations

9.

Ericson, Torleif, et al.. (1962). Theoretical Aspects of Very High-Energy Phenomena. Physics Today. 15(5). 60–62. 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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