Joshua M. Davis
- Cognitive Neuroscience top 5%
- Sociology and Political Science top 5%
- Information Systems and Management top 2%
- Management Information Systems top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Mun Yong YiTaesik LeeRomina PalermoElinor McKoneWilliam J. KettingerJames S. MakiJames K. BahcallBrad Tuttle
- Topics
- Technology Adoption and User Behaviour (9 papers)Digital Marketing and Social Media (7 papers)Monetary Policy and Economic Impact (5 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Joshua M. Davis
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 284
- Sociology and Political Science 282
- Information Systems and Management 233
- Management Information Systems 138
- Experimental and Cognitive Psychology 123
Countries citing papers authored by Joshua M. Davis
This map shows the geographic impact of Joshua M. Davis'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 Joshua M. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua M. Davis more than expected).
Fields of papers citing papers by Joshua M. Davis
This network shows the impact of papers produced by Joshua M. Davis. 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 Joshua M. Davis. The network helps show where Joshua M. Davis may publish in the future.
Co-authorship network of co-authors of Joshua M. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua M. Davis. A scholar is included among the top collaborators of Joshua M. Davis 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 Joshua M. Davis. Joshua M. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 51 | |
| 6 | 19 | |
| 7 | 70 | |
| 8 | 213 | |
| 9 | 43 | |
| 10 | 101 | |
| 11 | 85 | |
| 12 | Designing Enterprise IT Architectures to Optimize Flexibility and Standardization in Global Business | 17 |
| 13 | 13 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | Examining the Relationships Among Personality Traits, IT-specific Traits, and Perceived Ease of Use. | 5 |
| 17 | 70 | |
| 18 | 6 | |
| 19 | 22 | |
| 20 | 0 |
About Joshua M. Davis
Joshua M. Davis is a scholar working on Information Systems and Management, Management Information Systems and General Economics, Econometrics and Finance, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (7 papers) and Monetary Policy and Economic Impact (5 papers). The work is most often cited by research in Information Systems and Management (233 citations), Communication (109 citations) and Management Information Systems (138 citations). Joshua M. Davis has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Mun Yong Yi, Taesik Lee, Romina Palermo, Elinor McKone, William J. Kettinger, James S. Maki, James K. Bahcall, Brad Tuttle, Richard O’Kearney and Gioconda Quesada. Their work appears in journals such as PLoS ONE, Journal of Endodontics and Information & Management.
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.