Carrie J. Cai

38 papers receiving 2.4k citations

Hit Papers

Generative Agents: Interactive Simulacra of Human Behavior2022202620232024202320222022100200300400500

Peers

Carrie J. Cai
Comparison fields: 5 of 134
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 373
  • Safety Research 331
  • Computer Science Applications 319
  • Information Systems 308
Replace Brian Y. Lim with:
Brian Y. Lim Singapore
Besmira Nushi United States
Michael Terry Canada
Dakuo Wang United States
Todd Kulesza United States
Saleema Amershi United States
Paul N. Bennett United States
Jina Suh United States
Adam Fourney United States
Carrie J. Cai relative to Brian Y. Lim Singapore Brian Y. Lim's profile →
Citations per field
00.5×3.2×
Brian Y. Lim · 1×
Citations per year

Countries citing papers authored by Carrie J. Cai

Since Specialization
Citations

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

Fields of papers citing papers by Carrie J. Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie J. Cai. 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 Carrie J. Cai. The network helps show where Carrie J. Cai may publish in the future.

Co-authorship network of co-authors of Carrie J. Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Carrie J. Cai. A scholar is included among the top collaborators of Carrie J. Cai 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 Carrie J. Cai. Carrie J. Cai 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
#WorkIndexed citations
1 10
2 11
3 1
4 49
5 21
6 22
7
Generative Agents: Interactive Simulacra of Human Behaviorbreakdown →
544
8
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptsbreakdown →
247
9 4
10 25
11
Human-AI Co-creation in Songwriting
1
12
On the Making and Breaking of Social Music Improvisation during the COVID-19 Pandemic
3
13 222
14 22
15 14
16 43
17 1
18 14
19 10
20 7

About Carrie J. Cai

Carrie J. Cai is a scholar working on Health Informatics, Human-Computer Interaction and Computer Science Applications, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Personal Information Management and User Behavior (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (279 citations), Computer Science Applications (319 citations) and Human-Computer Interaction (290 citations). Carrie J. Cai has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael Terry, Michael S. Bernstein, Meredith Ringel Morris, Percy Liang, Joseph O’Brien, Joon Sung Park, Tongshuang Wu, Samantha Winter, David F. Steiner and Lauren Wilcox. Their work appears in journals such as Journal of Medical Internet Research, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Human-Computer Interaction.

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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