Laurence D. Smith

1.2k total citations
23 papers, 703 citations indexed

About

Laurence D. Smith is a scholar working on History and Philosophy of Science, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laurence D. Smith has authored 23 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in History and Philosophy of Science, 5 papers in Social Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laurence D. Smith's work include Philosophy and History of Science (5 papers), Data Visualization and Analytics (5 papers) and Academic and Historical Perspectives in Psychology (5 papers). Laurence D. Smith is often cited by papers focused on Philosophy and History of Science (5 papers), Data Visualization and Analytics (5 papers) and Academic and Historical Perspectives in Psychology (5 papers). Laurence D. Smith collaborates with scholars based in United States and Canada. Laurence D. Smith's co-authors include Norman K. Denzin, D. Alan Stubbs, Lisa A. Best, Andrea Bastiani Archibald, John A. Nevin, Jean E. Roberts, Roxann Roberson‐Nay, Eric G. Freedman, Leon R. Dreyfus and J. Gregor Fetterman and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, American Psychologist and Organizational Behavior and Human Decision Processes.

In The Last Decade

Laurence D. Smith

23 papers receiving 607 citations

Peers

Laurence D. Smith
Comparison fields: 5 of 108
  • Developmental and Educational Psychology 288
  • Social Psychology 132
  • Cognitive Neuroscience 119
  • General Psychology 100
  • History and Philosophy of Science 90
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Citations per field, relative to Laurence D. Smith
Laurence D. Smith · 1×
Citations per year, relative to Laurence D. Smith
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Countries citing papers authored by Laurence D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Laurence D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence D. Smith

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 34
3 2
4 90
5 25
6 15
7 99
8 4
9
The role of data and theory in covariation assessment: Implications for the theory-ladenness of observation
15
10 6
11 3
12 2
13 1
14 5
15 67
16 44
17 25
18 146
19 9
20 4

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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