Rachelle M. Smith

2.7k citations
19 papers · 1.8k indexed · 1 hit paper · h-index 10

Rachelle M. Smith

19 papers receiving 1.8k citations

Hit Papers

Experience sampling during fMRI reveals default network a...200920262014202020094008001.2k

Peers

Rachelle M. Smith
Comparison fields: 5 of 127
  • Cognitive Neuroscience 1.4k
  • Experimental and Cognitive Psychology 551
  • Clinical Psychology 130
  • Social Psychology 123
  • Molecular Biology 113
Replace Mariam Aly with:
Mariam Aly United States
P.A. Lewis United Kingdom
Feng Zhou China
Jeffrey Eilbott United States
Víctor Costumero Spain
Satoshi Hirose Japan
Alexander A. Stevens United States
Kevin Larcher Canada
Geoff Sanders United Kingdom
Rachelle M. Smith relative to Mariam Aly United States Mariam Aly's profile →
Citations per field
00.5×4.5×
Mariam Aly · 1×
Citations per year

Countries citing papers authored by Rachelle M. Smith

Since Specialization
Citations

This map shows the geographic impact of Rachelle 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 Rachelle 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 Rachelle M. Smith more than expected).

Fields of papers citing papers by Rachelle M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachelle 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 Rachelle M. Smith. The network helps show where Rachelle M. Smith may publish in the future.

Co-authorship network of co-authors of Rachelle M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Rachelle M. Smith. A scholar is included among the top collaborators of Rachelle 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 Rachelle M. Smith. Rachelle M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 9
2 60
3 1
4 5
5 3
6
The Biology of Beauty: The Science behind Human Attractiveness
1
7 16
8 2
9 12
10 8
11 6
12 20
13 151
14 4
15
Experience sampling during fMRI reveals default network and executive system contributions to mind wanderingbreakdown →
1247
16 94
17 113
18 39
19 22

About Rachelle M. Smith

Rachelle M. Smith is a scholar working on Inorganic Chemistry, Process Chemistry and Technology and Ceramics and Composites, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Polyoxometalates: Synthesis and Applications (5 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (551 citations) and Endocrine and Autonomic Systems (59 citations). Rachelle M. Smith has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Kalina Christoff, Alan Gordon, Jonathan Smallwood, Jonathan W. Schooler, Kamyar Keramatian, Stanly B. Williams, Burkhard Mädler, Christopher H. Schilling, Robert A. Bellman and Honey Goel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

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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