Shirley M. Smith
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Social Psychology
- Building and Construction
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Robert S. ChavezRex E. JungRanee A. FloresJ.M. SegallRichard J. HaierH. Jeremy BockholtPeter DorwardCharles Gasparovic
- Topics
- Creativity in Education and Neuroscience (2 papers)Neural and Behavioral Psychology Studies (2 papers)Mining and Resource Management (2 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceGeneral Economics, Econometrics and Finance
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Shirley M. Smith
9 papers receiving 366 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 238
- Experimental and Cognitive Psychology 225
- Social Psychology 48
- Building and Construction 43
- General Economics, Econometrics and Finance 35
Countries citing papers authored by Shirley M. Smith
This map shows the geographic impact of Shirley M. Smith'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 Shirley M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirley M. Smith more than expected).
Fields of papers citing papers by Shirley M. Smith
This network shows the impact of papers produced by Shirley M. Smith. 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 Shirley M. Smith. The network helps show where Shirley M. Smith may publish in the future.
Co-authorship network of co-authors of Shirley M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Shirley M. Smith. A scholar is included among the top collaborators of Shirley M. Smith 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 Shirley M. Smith. Shirley M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 52 | |
| 3 | 55 | |
| 4 | 256 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 0 |
About Shirley M. Smith
Shirley M. Smith is a scholar working on Archeology, Library and Information Sciences and General Economics, Econometrics and Finance, having authored 10 papers that have together received 390 indexed citations. Recurring topics across this work include Creativity in Education and Neuroscience (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Mining and Resource Management (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (225 citations), Cognitive Neuroscience (238 citations) and General Economics, Econometrics and Finance (35 citations). Shirley M. Smith has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Robert S. Chavez, Rex E. Jung, Ranee A. Flores, J.M. Segall, Richard J. Haier, H. Jeremy Bockholt, Peter Dorward, Charles Gasparovic, Arvind Caprihan and Ronald A. Yeo. Their work appears in journals such as Journal of Neuroscience, The Journal of Urology and Human Brain Mapping.
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.