Daniel Sheehan

1.1k total citations
34 papers, 755 citations indexed

About

Daniel Sheehan is a scholar working on Education, General Agricultural and Biological Sciences and Sociology and Political Science. According to data from OpenAlex, Daniel Sheehan has authored 34 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Education, 11 papers in General Agricultural and Biological Sciences and 5 papers in Sociology and Political Science. Recurrent topics in Daniel Sheehan's work include Diverse Educational Innovations Studies (11 papers), School Choice and Performance (8 papers) and Child Development and Digital Technology (4 papers). Daniel Sheehan is often cited by papers focused on Diverse Educational Innovations Studies (11 papers), School Choice and Performance (8 papers) and Child Development and Digital Technology (4 papers). Daniel Sheehan collaborates with scholars based in United States, Slovakia and Germany. Daniel Sheehan's co-authors include George Farkas, Robert P. Grobe, Kelly Shapley, Fanny Caranikas-Walker, Catherine Maloney, Ronald K. Hambleton, Walter G. Stephan, Keith Sturges, David Rosenfield and Alastair Roy and has published in prestigious journals such as American Sociological Review, Journal of Educational Psychology and Journal of the Academy of Marketing Science.

In The Last Decade

Daniel Sheehan

31 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sheehan United States 10 556 246 113 72 61 34 755
Sousan Arafeh United States 8 416 0.7× 197 0.8× 115 1.0× 74 1.0× 119 2.0× 16 692
Aimée Dorr United States 10 395 0.7× 271 1.1× 163 1.4× 182 2.5× 123 2.0× 20 825
Eva Van de gaer Belgium 12 343 0.6× 94 0.4× 121 1.1× 114 1.6× 42 0.7× 18 528
Fathi Ihmeideh Jordan 16 551 1.0× 130 0.5× 197 1.7× 104 1.4× 105 1.7× 39 702
Ilene R. Berson United States 14 383 0.7× 294 1.2× 142 1.3× 84 1.2× 56 0.9× 77 767
Matteo Bittanti 3 281 0.5× 310 1.3× 83 0.7× 50 0.7× 62 1.0× 6 551
Süleyman Nihat Şad Türkiye 16 482 0.9× 129 0.5× 216 1.9× 48 0.7× 58 1.0× 65 664
Dean Cristol United States 11 319 0.6× 237 1.0× 180 1.6× 46 0.6× 52 0.9× 23 656
Becky Herr Stephenson 3 279 0.5× 309 1.3× 83 0.7× 52 0.7× 60 1.0× 3 546
Der-Thanq Chen Singapore 11 350 0.6× 257 1.0× 108 1.0× 230 3.2× 97 1.6× 32 679

Countries citing papers authored by Daniel Sheehan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sheehan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sheehan. A scholar is included among the top collaborators of Daniel Sheehan 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 Sheehan. Daniel Sheehan 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.
Moffett, Jordan W., et al.. (2024). The Taguchi approach to large-scale experimental designs: A powerful and efficient tool for advancing marketing theory and practice. Journal of the Academy of Marketing Science. 53(3). 949–954. 2 indexed citations
2.
Larkins, Cath, et al.. (2024). Deepening collaborative research with children and young people: A co-edited and co-written special issue. Childhood. 31(3). 267–277. 1 indexed citations
3.
Shapley, Kelly, Daniel Sheehan, Catherine Maloney, & Fanny Caranikas-Walker. (2011). Effects of Technology Immersion on Middle School Students’ Learning Opportunities and Achievement. The Journal of Educational Research. 104(5). 299–315. 88 indexed citations
4.
Shapley, Kelly, Daniel Sheehan, Catherine Maloney, & Fanny Caranikas-Walker. (2010). Effects of Technology Immersion on Teachers' Growth in Technology Competency, Ideology, and Practices. Journal of Educational Computing Research. 42(1). 1–33. 11 indexed citations
5.
Shapley, Kelly, Daniel Sheehan, Catherine Maloney, & Fanny Caranikas-Walker. (2010). Evaluating the Implementation Fidelity of Technology Immersion and Its Relationship with Student Achievement. Open Access Journals at BC (Boston College). 9(4). 89 indexed citations
6.
Shapley, Kelly, Daniel Sheehan, Catherine Maloney, & Fanny Caranikas-Walker. (2009). Evaluation of the Texas Technology Immersion Pilot: Final Outcomes for a Four-Year Study (2004-05 to 2007-08).. PeerJ Computer Science. 8. e974–e974. 30 indexed citations
7.
Shapley, Kelly, Catherine Maloney, Fanny Caranikas-Walker, & Daniel Sheehan. (2008). Evaluation of the Texas Technology Immersion Pilot: Third-Year (2006-07) Traits of Higher Technology Immersion Schools and Teachers.. 4 indexed citations
8.
Shapley, Kelly, et al.. (2007). Evaluation of the Texas Technology Immersion Pilot: An Analysis of Second-Year (2005-06) Implementation.. 1 indexed citations
9.
Shapley, Kelly, et al.. (2007). Evaluation of the Texas Technology Immersion Pilot: Findings from the Second Year.. 9 indexed citations
10.
Shapley, Kelly, et al.. (2006). Evaluation of the Texas Technology Immersion Pilot: An Analysis of the Baseline Conditions and First-Year Implementation of Technology Immersion in Middle School.. 4 indexed citations
11.
Farkas, George, Daniel Sheehan, & Robert P. Grobe. (1990). Coursework Mastery and School Success: Gender, Ethnicity, and Poverty Groups within an Urban School District. American Educational Research Journal. 27(4). 807–807. 1 indexed citations
12.
Sheehan, Daniel, et al.. (1984). A Comparison of the Selected- Response Strategy and the Constructed-Response Strategy for Assessment of a Third-Grade Writing Task. The Journal of Educational Research. 77(3). 172–177. 2 indexed citations
13.
Rosenfield, David, et al.. (1981). Classroom structure and prejudice in desegregated schools.. Journal of Educational Psychology. 73(1). 17–26. 8 indexed citations
14.
Sheehan, Daniel. (1979). Black Achievement in a Desegregated School District. The Journal of Social Psychology. 107(2). 185–192. 2 indexed citations
15.
Sheehan, Daniel. (1978). Classroom Climate in Integrated Language Arts Classrooms. The Journal of Educational Research. 71(6). 349–354. 3 indexed citations
16.
Sheehan, Daniel, et al.. (1978). Busing Status and Student Ethnicity. Urban Education. 13(1). 83–94. 1 indexed citations
17.
Sheehan, Daniel & Ronald K. Hambleton. (1977). A Predictive Study of Success in an Individualized Science Program. School Science and Mathematics. 77(1). 13–20. 2 indexed citations
18.
Sheehan, Daniel, et al.. (1976). Clinical Supervision Elements: The Clinic to Improve University Teaching.. Journal of research and development in education. 7 indexed citations
19.
Sheehan, Daniel, et al.. (1976). An Evaluation of a Teaching Improvement Process for University Faculty.. 9 indexed citations
20.
Sheehan, Daniel, et al.. (1974). A Diagnostic Model of Teaching Improvement. Journal of Educational Technology Systems. 3(2). 159–171. 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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