Daniel D. Goering

712 citations
7 papers · 559 · 1 hit paper · h-index 5

Impact in

Papers in

Daniel D. Goering

7 papers receiving 544 citations

Daniel D. Goering's Hit Papers

A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge? 2018 · 429 citations
4290+2+5Years since publication100200300400

Peers

Daniel D. Goering
Comparison fields: 5 of 90
  • Organizational Behavior and Human Resource Management 209
  • Applied Psychology 41
  • Social Psychology 130
  • Management of Technology and Innovation 41
  • Clinical Psychology 106
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Xiongying Niu China
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Countries citing papers authored by Daniel D. Goering

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Goering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel D. Goering, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel D. Goering Line = papers co-authored together Daniel D. Goering links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge?
Hit paper breakdown →
2018429
2 201746
3 202141
4 201726
5 201614
6 20162
7 20241

About Daniel D. Goering

Daniel D. Goering is a scholar working on Gender Studies, General Health Professions, Sociology and Political Science, Applied Psychology and Education, having authored 7 papers that have together received 559 indexed citations. Recurring topics across this work include Gender Diversity and Inequality (3 papers), Behavioral Health and Interventions (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Social and Intergroup Psychology (2 papers), Social Capital and Networks (1 paper), Supply Chain Resilience and Risk Management (1 paper), Employment and Welfare Studies (1 paper) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (209 citations), Applied Psychology (41 citations), Social Psychology (130 citations), Management of Technology and Innovation (41 citations) and Clinical Psychology (106 citations). Daniel D. Goering has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Ernest H. O’Boyle, Scott E. Seibert, Sheryl L. Walter, Rong Su, Akihito Shimazu, Matthew W. Rutherford, Chao Miao, Joseph E. Coombs, Eean Crawford and Amy E. Colbert. Their work appears in journals such as Journal of Business and Psychology, Journal of Business Venturing Insights, Journal of Organizational Behavior, Journal of Management and Academy of Management Proceedings.

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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