Melissa G. Keith
- Sociology and Political Science top 5%
- Social Psychology top 10%
- Organizational Behavior and Human Resource Management top 5%
- Experimental and Cognitive Psychology top 10%
- Marketing top 10%
- Co-authors
- Louis TayPeter D. HarmsSang Eun WooMichael J. ZickarJames O. PawelskiMeghan A. ThorntonCaitlin M. PorterP. D. Harms
- Topics
- Job Satisfaction and Organizational Behavior (5 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)Creativity in Education and Neuroscience (4 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Melissa G. Keith
24 papers receiving 688 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Sociology and Political Science 274
- Social Psychology 161
- Organizational Behavior and Human Resource Management 147
- Experimental and Cognitive Psychology 86
- Marketing 83
Countries citing papers authored by Melissa G. Keith
This map shows the geographic impact of Melissa G. Keith'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 Melissa G. Keith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa G. Keith more than expected).
Fields of papers citing papers by Melissa G. Keith
This network shows the impact of papers produced by Melissa G. Keith. 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 Melissa G. Keith. The network helps show where Melissa G. Keith may publish in the future.
Co-authorship network of co-authors of Melissa G. Keith
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa G. Keith. A scholar is included among the top collaborators of Melissa G. Keith 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 Melissa G. Keith. Melissa G. Keith 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 | 3 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 65 | |
| 9 | 36 | |
| 10 | 79 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 8 | |
| 16 | Systems Perspective of Amazon Mechanical Turk for Organizational Research: Review and Recommendationsbreakdown → | 235 |
| 17 | 58 | |
| 18 | 25 | |
| 19 | Promoting Teacher Presence: Strategies for Effective and Efficient Feedback to Student Writing Online | 13 |
| 20 | 6 |
About Melissa G. Keith
Melissa G. Keith is a scholar working on Applied Psychology, Computer Science Applications and Neuropsychology and Physiological Psychology, having authored 25 papers that have together received 708 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Creativity in Education and Neuroscience (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (147 citations), Applied Psychology (57 citations) and Marketing (83 citations). Melissa G. Keith has collaborated with scholars based in United States and Russia. Frequent co-authors include Louis Tay, Peter D. Harms, Sang Eun Woo, Michael J. Zickar, James O. Pawelski, Meghan A. Thornton, Caitlin M. Porter, P. D. Harms, David G. Allen and James M. LeBreton. Their work appears in journals such as Journal of Applied Psychology, Computers in Human Behavior and Frontiers in Psychology.
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.