Daniel R. Toy

565 total citations
11 papers, 402 citations indexed

About

Daniel R. Toy is a scholar working on Social Psychology, Information Systems and Management and Marketing. According to data from OpenAlex, Daniel R. Toy has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Information Systems and Management and 2 papers in Marketing. Recurrent topics in Daniel R. Toy's work include Technology Adoption and User Behaviour (2 papers), Customer Service Quality and Loyalty (2 papers) and Management and Marketing Education (2 papers). Daniel R. Toy is often cited by papers focused on Technology Adoption and User Behaviour (2 papers), Customer Service Quality and Loyalty (2 papers) and Management and Marketing Education (2 papers). Daniel R. Toy collaborates with scholars based in United States, Australia and Kazakhstan. Daniel R. Toy's co-authors include Kenneth J. Chapman, Lauren Wright, Richard Davis, Jerry C. Olson, Philip A. Dover, Lauren K. Wright, Matthew L. Meuter, Nitish Singh and Deborah Kerstetter and has published in prestigious journals such as Journal of Consumer Research, Psychology and Marketing and Journal of Leisure Research.

In The Last Decade

Daniel R. Toy

11 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel R. Toy United States	8	125	116	112	95	75	11	402
Kevin Eastman United States	10	36 0.3×	97 0.8×	135 1.2×	198 2.1×	54 0.7×	30	435
M. Jill Austin United States	10	78 0.6×	61 0.5×	82 0.7×	27 0.3×	36 0.5×	14	465
Jennifer Wiggins Johnson United States	10	48 0.4×	63 0.5×	267 2.4×	287 3.0×	112 1.5×	16	533
Andrea North‐Samardzic Australia	9	32 0.3×	93 0.8×	102 0.9×	13 0.1×	61 0.8×	22	355
Keith E. Niedermeier United States	9	15 0.1×	50 0.4×	158 1.4×	78 0.8×	55 0.7×	14	363
Glen H. Brodowsky United States	11	12 0.1×	27 0.2×	227 2.0×	237 2.5×	62 0.8×	25	438
John E. Cicala United States	7	8 0.1×	59 0.5×	133 1.2×	53 0.6×	82 1.1×	9	287
George E. Stevens United States	8	111 0.9×	152 1.3×	67 0.6×	7 0.1×	66 0.9×	53	399
Richard T. Marcy Canada	7	38 0.3×	87 0.8×	38 0.3×	21 0.2×	48 0.6×	11	295
Yuhosua Ryoo United States	14	36 0.3×	85 0.7×	237 2.1×	217 2.3×	82 1.1×	29	548

Countries citing papers authored by Daniel R. Toy

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Toy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Toy

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

All Works

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11 of 11 papers shown

Singh, Nitish, Daniel R. Toy, & Lauren K. Wright. (2009). A diagnostic framework for measuring Web‐site localization. Thunderbird International Business Review. 51(3). 281–295. 24 indexed citations

Meuter, Matthew L., et al.. (2009). Reducing Content Variance and Improving Student Learning Outcomes. Journal of Marketing Education. 31(2). 109–119. 7 indexed citations

Chapman, Kenneth J., Matthew L. Meuter, Daniel R. Toy, & Lauren K. Wright. (2009). Are Student Groups Dysfunctional?. Journal of Marketing Education. 32(1). 39–49. 55 indexed citations

Chapman, Kenneth J., Richard Davis, Daniel R. Toy, & Lauren Wright. (2004). Academic Integrity in the Business School Environment: I’ll Get by with a Little Help from My Friends. Journal of Marketing Education. 26(3). 236–249. 153 indexed citations

Toy, Daniel R., et al.. (2001). Evaluating Customer Satisfaction: A Contingency Model Approach. Tourism Analysis. 6(2). 99–108. 4 indexed citations

Toy, Daniel R., et al.. (1989). Strategic Marketing for Recreational Facilities: A Hybrid Conjoint Analysis Approach. Journal of Leisure Research. 21(4). 276–296. 14 indexed citations

Toy, Daniel R., et al.. (1989). Effects of debriefing in marketing research involving “Mild” deceptions. Psychology and Marketing. 6(1). 69–85. 21 indexed citations

Toy, Daniel R.. (1982). Monitoring Communication Effects: A Cognitive Structure/Cognitive Response Approach. Journal of Consumer Research. 9(1). 66–66. 24 indexed citations

Olson, Jerry C., Daniel R. Toy, & Philip A. Dover. (1982). Do Cognitive Responses Mediate the Effects of Advertising Content on Cognitive Structure?. Journal of Consumer Research. 9(3). 245–245. 80 indexed citations

10.

Toy, Daniel R.. (1979). The cognitive structure/cognitive response model of communication impact : an experimental validation. Medical Entomology and Zoology. 1 indexed citations

11.

Olson, Jerry C., Daniel R. Toy, & Philip A. Dover. (1978). Mediating Effects of Cognitive Responses to Advertising on Cognitive Structure. ACR North American Advances. 19 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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