Shaili Jain

1.7k total citations · 1 hit paper
40 papers, 1.0k citations indexed

About

Shaili Jain is a scholar working on Clinical Psychology, General Health Professions and Computer Science Applications. According to data from OpenAlex, Shaili Jain has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 13 papers in General Health Professions and 8 papers in Computer Science Applications. Recurrent topics in Shaili Jain's work include Posttraumatic Stress Disorder Research (13 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Migration, Health and Trauma (5 papers). Shaili Jain is often cited by papers focused on Posttraumatic Stress Disorder Research (13 papers), Mobile Crowdsensing and Crowdsourcing (8 papers) and Migration, Health and Trauma (5 papers). Shaili Jain collaborates with scholars based in United States, United Kingdom and Hong Kong. Shaili Jain's co-authors include David C. Parkes, Anil K. Jain, Yiling Chen, Christopher G. Brinton, Henry Lam, Mung Chiang, Felix Ming Fai Wong, Zhenming Liu, Craig S. Rosen and Jinfeng Yi and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of General Internal Medicine.

In The Last Decade

Shaili Jain

39 papers receiving 937 citations

Hit Papers

Trustworthy AI: A Computational Perspective 2022 2026 2023 2024 2022 40 80 120

Peers

Shaili Jain
Comparison fields: 5 of 114
  • Computer Science Applications 350
  • Artificial Intelligence 239
  • Clinical Psychology 191
  • General Health Professions 158
  • Information Systems 130
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Citations per field, relative to Shaili Jain
Shaili Jain · 1×
Citations per year, relative to Shaili Jain
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Countries citing papers authored by Shaili Jain

Since Specialization
Citations

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

Fields of papers citing papers by Shaili Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaili Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Shaili Jain. A scholar is included among the top collaborators of Shaili Jain 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 Shaili Jain. Shaili Jain 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 7
2 28
3 13
4 20
5 31
6 180
7
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
46
8
Crowdclustering with sparse pairwise labels: A matrix completion approach
28
9 12
10 8
11 4
12 16
13
Ethical Issues in Psychopharmacology
0
14 28
15 4
16 97
17 14
18 2
19 19
20 8

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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