Danny Weathers
- Marketing top 2%
- Sociology and Political Science top 5%
- Information Systems and Management top 2%
- Organizational Behavior and Human Resource Management top 5%
- Artificial Intelligence
- Co-authors
- Subhash SharmaStacy WoodScott D. SwainVarun GroverRonald W. NiedrichJay P. CarlsonJennifer Christie SiemensR. Carter Hill
- Topics
- Consumer Behavior in Brand Consumption and Identification (10 papers)Digital Marketing and Social Media (6 papers)Customer Service Quality and Loyalty (6 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Journals
- Journal of Marketing ResearchJournal of Business ResearchJournal of the Academy of Marketing Science
- Partner nations
- United States
In The Last Decade
Danny Weathers
20 papers receiving 806 citations
Peers
Comparison fields: 5 of 90
- Marketing 467
- Sociology and Political Science 452
- Information Systems and Management 220
- Organizational Behavior and Human Resource Management 184
- Artificial Intelligence 79
Countries citing papers authored by Danny Weathers
This map shows the geographic impact of Danny Weathers'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 Danny Weathers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Weathers more than expected).
Fields of papers citing papers by Danny Weathers
This network shows the impact of papers produced by Danny Weathers. 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 Danny Weathers. The network helps show where Danny Weathers may publish in the future.
Co-authorship network of co-authors of Danny Weathers
This figure shows the co-authorship network connecting the top 25 collaborators of Danny Weathers. A scholar is included among the top collaborators of Danny Weathers 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 Danny Weathers. Danny Weathers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 19 | |
| 7 | 5 | |
| 8 | The Effect of Herding Behavior on Online Review Voting Participation | 3 |
| 9 | 8 | |
| 10 | 39 | |
| 11 | 16 | |
| 12 | 137 | |
| 13 | 0 | |
| 14 | 43 | |
| 15 | 17 | |
| 16 | 57 | |
| 17 | 328 | |
| 18 | 34 | |
| 19 | 54 | |
| 20 | 53 |
About Danny Weathers
Danny Weathers is a scholar working on General Decision Sciences, Marketing and Applied Psychology, having authored 22 papers that have together received 866 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (10 papers), Digital Marketing and Social Media (6 papers) and Customer Service Quality and Loyalty (6 papers). The work is most often cited by research in Marketing (467 citations), Information Systems and Management (220 citations) and Organizational Behavior and Human Resource Management (184 citations). Danny Weathers has collaborated with scholars based in United States. Frequent co-authors include Subhash Sharma, Stacy Wood, Scott D. Swain, Varun Grover, Ronald W. Niedrich, Jay P. Carlson, Jennifer Christie Siemens, R. Carter Hill, David R. Bell and Oriana R. Aragón. Their work appears in journals such as Journal of Marketing Research, Journal of Business Research and Journal of the Academy of Marketing Science.
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.