Garrick Sherman

819 total citations
36 papers, 431 citations indexed

About

Garrick Sherman is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Garrick Sherman has authored 36 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 13 papers in Artificial Intelligence and 9 papers in Sociology and Political Science. Recurrent topics in Garrick Sherman's work include Mental Health via Writing (11 papers), Topic Modeling (7 papers) and Misinformation and Its Impacts (5 papers). Garrick Sherman is often cited by papers focused on Mental Health via Writing (11 papers), Topic Modeling (7 papers) and Misinformation and Its Impacts (5 papers). Garrick Sherman collaborates with scholars based in United States, Switzerland and China. Garrick Sherman's co-authors include Sharath Chandra Guntuku, Lyle Ungar, Raina M. Merchant, Johannes C. Eichstaedt, Salvatore Giorgi, Steven O. Roberts, Miles Efron, Emily Seltzer, Anish K. Agarwal and Daniel C. Stokes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Behaviour Research and Therapy.

In The Last Decade

Garrick Sherman

31 papers receiving 421 citations

Peers

Garrick Sherman
Comparison fields: 5 of 72
  • Sociology and Political Science 167
  • Social Psychology 118
  • Artificial Intelligence 114
  • Clinical Psychology 96
  • Health 73
Replace Marijn ten Thij with:
Marijn ten Thij Netherlands
Renee Garett United States
Hansen Andrew Schwartz United States
Tae Min Song South Korea
Krishna C. Bathina United States
Sneha Jha India
Yue Su China
Emily Seltzer United States
Chengda Zheng Canada
Laura Smith United States
Marijn ten Thij Netherlands View profile →
Citations per field, relative to Garrick Sherman
Garrick Sherman · 1×
Citations per year, relative to Garrick Sherman
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Countries citing papers authored by Garrick Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Garrick Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrick Sherman. 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 Garrick Sherman. The network helps show where Garrick Sherman may publish in the future.

Co-authorship network of co-authors of Garrick Sherman

This figure shows the co-authorship network connecting the top 25 collaborators of Garrick Sherman. A scholar is included among the top collaborators of Garrick Sherman 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 Garrick Sherman. Garrick Sherman 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 0
2 1
3 3
4 1
5 0
6 3
7 0
8 7
9 13
10 16
11 12
12 4
13 5
14 5
15 122
16 40
17 88
18
The University of Illinois' Graduate School of Library and Information Science at TREC 2014
1
19
Overview of the TREC-2013 Microblog Track.
34
20
The University of Illinois' Graduate School of Library and Information Science at TREC 2012
2

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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