Shweta Ware

442 total citations
11 papers, 315 citations indexed

About

Shweta Ware is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Shweta Ware has authored 11 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Applied Psychology, 9 papers in Experimental and Cognitive Psychology and 4 papers in Sociology and Political Science. Recurrent topics in Shweta Ware's work include Digital Mental Health Interventions (11 papers), Mental Health Research Topics (9 papers) and Impact of Technology on Adolescents (4 papers). Shweta Ware is often cited by papers focused on Digital Mental Health Interventions (11 papers), Mental Health Research Topics (9 papers) and Impact of Technology on Adolescents (4 papers). Shweta Ware collaborates with scholars based in United States and Germany. Shweta Ware's co-authors include Jinbo Bi, Chaoqun Yue, Athanasios Bamis, Reynaldo Morillo, Jayesh Kamath, Alexander Russell, Jin Lü, Chao Shang, Bing Wang and Asma Ahmad Farhan and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and IEEE Transactions on Big Data.

In The Last Decade

Shweta Ware

10 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shweta Ware United States 7 252 224 64 59 41 11 315
Reynaldo Morillo United States 9 250 1.0× 223 1.0× 63 1.0× 58 1.0× 41 1.0× 15 340
Kennedy Opoku Asare Finland 6 185 0.7× 174 0.8× 46 0.7× 61 1.0× 37 0.9× 13 325
Michael Tumminia United States 9 188 0.7× 202 0.9× 48 0.8× 86 1.5× 52 1.3× 14 406
Michael Merrill United States 7 226 0.9× 192 0.9× 48 0.8× 40 0.7× 38 0.9× 7 358
Fabian Wahle Switzerland 6 219 0.9× 150 0.7× 61 1.0× 40 0.7× 24 0.6× 9 313
Karl Fua United States 10 308 1.2× 286 1.3× 103 1.6× 76 1.3× 50 1.2× 20 534
Andrea Piscitello United States 6 138 0.5× 133 0.6× 38 0.6× 22 0.4× 52 1.3× 9 265
Gonzalo J. Martinez United States 11 60 0.2× 135 0.6× 52 0.8× 43 0.7× 43 1.0× 20 315
Alban Maxhuni Italy 7 107 0.4× 117 0.5× 25 0.4× 25 0.4× 31 0.8× 12 252
Toni Vanhala Finland 8 91 0.4× 78 0.3× 25 0.4× 45 0.8× 77 1.9× 13 274

Countries citing papers authored by Shweta Ware

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Ware

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

All Works

11 of 11 papers shown
1.
Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2025). Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones. ACM Transactions on Intelligent Systems and Technology.
2.
Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2023). Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–21. 3 indexed citations
3.
Ware, Shweta, et al.. (2022). Predicting ADHD Symptoms Using Smartphone Sensing Data. 503–505. 2 indexed citations
4.
Ware, Shweta, Chaoqun Yue, Reynaldo Morillo, et al.. (2022). Automatic depression screening using social interaction data on smartphones. Smart Health. 26. 100356–100356. 5 indexed citations
5.
Yue, Chaoqun, Shweta Ware, Reynaldo Morillo, et al.. (2020). Automatic depression prediction using Internet traffic characteristics on smartphones. Smart Health. 18. 100137–100137. 30 indexed citations
6.
Ware, Shweta, Chaoqun Yue, Reynaldo Morillo, et al.. (2019). Predicting depressive symptoms using smartphone data. Smart Health. 15. 100093–100093. 59 indexed citations
7.
Yue, Chaoqun, Shweta Ware, Reynaldo Morillo, et al.. (2018). Fusing Location Data for Depression Prediction. IEEE Transactions on Big Data. 7(2). 355–370. 26 indexed citations
8.
Lü, Jin, Chao Shang, Chaoqun Yue, et al.. (2018). Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(1). 1–21. 63 indexed citations
9.
Ware, Shweta, Chaoqun Yue, Reynaldo Morillo, et al.. (2018). Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(4). 1–27. 32 indexed citations
10.
Yue, Chaoqun, Shweta Ware, Reynaldo Morillo, et al.. (2017). Fusing location data for depression prediction. 1–8. 15 indexed citations
11.
Farhan, Asma Ahmad, Chaoqun Yue, Reynaldo Morillo, et al.. (2016). Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. 1–8. 80 indexed citations

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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2026