Daniel B. Wackman

2.5k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Daniel B. Wackman is a scholar working on Sociology and Political Science, Communication and Social Psychology. According to data from OpenAlex, Daniel B. Wackman has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 8 papers in Communication and 6 papers in Social Psychology. Recurrent topics in Daniel B. Wackman's work include Social Media and Politics (7 papers), Social and Intergroup Psychology (6 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Daniel B. Wackman is often cited by papers focused on Social Media and Politics (7 papers), Social and Intergroup Psychology (6 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Daniel B. Wackman collaborates with scholars based in United States and Kazakhstan. Daniel B. Wackman's co-authors include Scott Ward, Ellen Wartella, David Domke, Dhavan V. Shah, James U. McNeal, Elam W. Nunnally, Patrick C. Meirick, Charles T. Salmon, Thomas S. Robertson and David Demers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marketing Research and American Journal of Preventive Medicine.

In The Last Decade

Daniel B. Wackman

39 papers receiving 1.4k citations

Hit Papers

Family and Media Influences On Adolescent Consumer Learning 1971 2026 1989 2007 1971 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel B. Wackman United States 21 746 692 341 322 244 40 1.8k
Scott Ward United States 18 660 0.9× 1.0k 1.5× 85 0.2× 368 1.1× 161 0.7× 55 1.7k
W. Phillips Davison United States 10 922 1.2× 133 0.2× 671 2.0× 204 0.6× 199 0.8× 32 1.8k
Susan L. Kline United States 19 715 1.0× 204 0.3× 383 1.1× 95 0.3× 489 2.0× 71 1.7k
Sherri Grasmuck United States 12 1.4k 1.9× 98 0.1× 522 1.5× 216 0.7× 126 0.5× 22 1.9k
Sut Jhally United States 14 587 0.8× 199 0.3× 271 0.8× 459 1.4× 59 0.2× 42 1.3k
Tsukasa Nishida United States 21 1.2k 1.6× 178 0.3× 828 2.4× 206 0.6× 1.5k 6.0× 29 2.6k
Don W. Stacks United States 22 620 0.8× 121 0.2× 592 1.7× 120 0.4× 562 2.3× 67 1.8k
Herbert W. Simons United States 18 538 0.7× 102 0.1× 292 0.9× 53 0.2× 237 1.0× 47 1.5k
Cathy N. Davidson United States 18 771 1.0× 103 0.1× 322 0.9× 457 1.4× 89 0.4× 71 2.4k
Howard Lavine United States 26 1.9k 2.6× 261 0.4× 551 1.6× 304 0.9× 674 2.8× 42 2.9k

Countries citing papers authored by Daniel B. Wackman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Wackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel B. Wackman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Wackman. A scholar is included among the top collaborators of Daniel B. Wackman 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 B. Wackman. Daniel B. Wackman 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.
Wackman, Daniel B., et al.. (2017). Partisan Self-Stereotyping: Testing the Salience Hypothesis in a Prediction of Political Polarization. SHILAP Revista de lepidopterología. 11. 23. 10 indexed citations
2.
Domke, David, Dhavan V. Shah, & Daniel B. Wackman. (2000). Rights and Morals, Issues, and Candidate Integrity: Insights into the Role of the News Media. Political Psychology. 21(4). 641–665. 11 indexed citations
3.
Domke, David, Dhavan V. Shah, & Daniel B. Wackman. (1998). "Moral Referendums": Values, News Media, and the Process of Candidate Choice. Political Communication. 15(3). 301–321. 45 indexed citations
4.
Pavlik, John V., John R. Finnegan, Daniel Strickland, et al.. (1993). Increasing Public Understanding of Heart Disease: An Analysis of Data From the Minnesota Heart Health Program. Health Communication. 5(1). 1–20. 24 indexed citations
5.
Wackman, Daniel B., et al.. (1992). Gestión de empresas informativas. Dialnet (Universidad de la Rioja). 4 indexed citations
6.
Ward, Scott, et al.. (1990). Consumer Socialization Research: Content Analysis of Post-1980 Studies, and Some Implications For Future Work. ACR North American Advances. 14 indexed citations
7.
Wackman, Daniel B., et al.. (1988). Managing Media Organizations: Effective Leadership of the Media. Medical Entomology and Zoology. 21 indexed citations
8.
Pirie, Phyllis L., Daniel B. Wackman, David R. Jacobs, et al.. (1986). Characteristics of Participants and Nonparticipants in a Community Cardiovascular Disease Risk Factor Screening: The Minnesota Heart Health Program. American Journal of Preventive Medicine. 2(1). 20–25. 40 indexed citations
9.
Wartella, Ellen, Daniel B. Wackman, & Scott Ward. (1978). Children's Consumer Information Processing: Representation of Information From Television Advertisements. ACR North American Advances. 5 indexed citations
10.
McNeal, James U., Scott Ward, Daniel B. Wackman, & Ellen Wartella. (1978). How Children Learn to Buy. Journal of Marketing Research. 15(1). 161–161. 174 indexed citations
11.
Ward, Scott, Daniel B. Wackman, & Ellen Wartella. (1977). The Development of Consumer Information-Processing Skills: Integrating Cognitive Development and Family Interaction Theories. ACR North American Advances. 20 indexed citations
12.
Wackman, Daniel B., Scott Ward, & Ellen Wartella. (1977). How Children Learn to Buy: The Development of Consumer Information Processing. 15 indexed citations
13.
Wackman, Daniel B., Ellen Wartella, & Scott Ward. (1977). Learning to be Consumers: The Role of the Family. Journal of Communication. 27(1). 138–151. 28 indexed citations
14.
Nunnally, Elam W., et al.. (1975). The Minnesota Couples Communication Program. Small Group Behavior. 6(1). 57–71. 20 indexed citations
15.
Wackman, Daniel B., et al.. (1975). Education in Basic Interpersonal Communication Skills.. 1 indexed citations
16.
Ward, Scott & Daniel B. Wackman. (1974). Consumer Socialization: Initial Study Results (Abstract). ACR North American Advances. 2 indexed citations
17.
Ward, Scott & Daniel B. Wackman. (1974). Effects of Television Advertising on Consumer Socialization.. Marketing Science Institute eBooks. 39 indexed citations
18.
Tichenor, Phillip J. & Daniel B. Wackman. (1973). Mass Media and Community Public Opinion. American Behavioral Scientist. 16(4). 593–606. 10 indexed citations
19.
Wartella, Ellen & Daniel B. Wackman. (1973). A Review of Cognitive Developmental Theory and Research and Discussion of Implications for Research on Children's Responses to Television Advertising. 1 indexed citations
20.
Ward, Scott, Thomas S. Robertson, & Daniel B. Wackman. (1971). Children's Attention to Television Advertising. 37 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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