Laura E. Barnes

4.4k total citations
165 papers, 2.7k citations indexed

About

Laura E. Barnes is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Artificial Intelligence. According to data from OpenAlex, Laura E. Barnes has authored 165 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Experimental and Cognitive Psychology, 41 papers in Applied Psychology and 28 papers in Artificial Intelligence. Recurrent topics in Laura E. Barnes's work include Mental Health Research Topics (43 papers), Digital Mental Health Interventions (39 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (19 papers). Laura E. Barnes is often cited by papers focused on Mental Health Research Topics (43 papers), Digital Mental Health Interventions (39 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (19 papers). Laura E. Barnes collaborates with scholars based in United States, China and Germany. Laura E. Barnes's co-authors include Bethany A. Teachman, Mehdi Boukhechba, Philip I. Chow, Kamran Kowsari, Haoyi Xiong, Matthew S. Gerber, Karl Fua, Yu Huang, Donald E. Brown and Mojtaba Heidarysafa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Laura E. Barnes

152 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura E. Barnes United States 26 606 579 564 309 286 165 2.7k
Mi Zhang United States 22 584 1.0× 448 0.8× 629 1.1× 110 0.4× 361 1.3× 68 2.4k
Rüdiger Pryss Germany 23 273 0.5× 303 0.5× 502 0.9× 92 0.3× 227 0.8× 204 2.2k
Neal Lathia United Kingdom 23 282 0.5× 235 0.4× 281 0.5× 192 0.6× 279 1.0× 40 2.4k
Santosh Kumar United States 25 288 0.5× 676 1.2× 907 1.6× 124 0.4× 350 1.2× 69 3.2k
Andrew Raij United States 24 254 0.4× 290 0.5× 244 0.4× 301 1.0× 423 1.5× 52 2.5k
Aaron Bangor United States 5 517 0.9× 238 0.4× 439 0.8× 546 1.8× 856 3.0× 6 5.5k
Venet Osmani Italy 21 411 0.7× 503 0.9× 546 1.0× 103 0.3× 226 0.8× 68 2.0k
Afsaneh Doryab United States 19 113 0.2× 498 0.9× 514 0.9× 151 0.5× 270 0.9× 50 1.4k
Dian Tjondronegoro Australia 26 271 0.4× 558 1.0× 723 1.3× 298 1.0× 978 3.4× 139 3.8k
Oscar Mayora Italy 21 192 0.3× 580 1.0× 582 1.0× 112 0.4× 291 1.0× 87 1.8k

Countries citing papers authored by Laura E. Barnes

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Barnes. 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 Laura E. Barnes. The network helps show where Laura E. Barnes may publish in the future.

Co-authorship network of co-authors of Laura E. Barnes

This figure shows the co-authorship network connecting the top 25 collaborators of Laura E. Barnes. A scholar is included among the top collaborators of Laura E. Barnes 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 Laura E. Barnes. Laura E. Barnes 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
1.
LeBaron, Virginia, et al.. (2024). CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–31. 1 indexed citations
2.
Eberle, Jeremy William, et al.. (2023). Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic. Behaviour Research and Therapy. 173. 104463–104463. 3 indexed citations
3.
Eberle, Jeremy William, et al.. (2023). Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial. Clinical Psychological Science. 11(5). 819–840. 5 indexed citations
4.
Flickinger, Tabor, Virginia LeBaron, Mehdi Boukhechba, et al.. (2023). Evidence-based approach to designing wearable technology to improve patient-clinician communication. Patient Education and Counseling. 109. 108–109. 2 indexed citations
5.
6.
Barnes, Laura E., et al.. (2023). Perceived Burdensomeness and Thwarted Belongingness in Text Messages of Suicide Attempt Survivors. Archives of Suicide Research. 28(3). 779–790. 1 indexed citations
7.
LeBaron, Virginia, et al.. (2022). Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study. JMIR Research Protocols. 11(5). e37975–e37975. 8 indexed citations
8.
Xiong, Haoyi, Jie Zhang, Sijia Yang, et al.. (2022). From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal. 9(17). 15413–15434. 18 indexed citations
9.
Gutiérrez, Robert, et al.. (2022). Upper Extremity Examination for Neuromuscular Diseases (U-EXTEND): Protocol for a Multimodal Feasibility Study. JMIR Research Protocols. 11(10). e40856–e40856. 2 indexed citations
10.
Datta, Debajyoti, et al.. (2021). Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. 185–198. 7 indexed citations
11.
Ji, Julie L., et al.. (2021). Multi-session online interpretation bias training for anxiety in a community sample. Behaviour Research and Therapy. 142. 103864–103864. 18 indexed citations
12.
Gonzales, Manuel, et al.. (2021). Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. PubMed. 2021. 1–4. 1 indexed citations
13.
Daniel, Katharine E., Fallon R. Goodman, Miranda Beltzer, et al.. (2020). Emotion Malleability Beliefs and Emotion Experience and Regulation in the Daily Lives of People with High Trait Social Anxiety. Cognitive Therapy and Research. 44(6). 1186–1198. 25 indexed citations
14.
Baik, Sharon H., Elizabeth A. Klonoff, Laura E. Barnes, Melody K. Schiaffino, & Kristen J. Wells. (2019). Mapping the online social network of cancer bloggers. Journal of Health Psychology. 26(11). 2062–2068. 6 indexed citations
15.
Heidarysafa, Mojtaba, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, & Laura E. Barnes. (2018). An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). International Journal of Machine Learning and Computing. 8(4). 18 indexed citations
16.
Fua, Karl, Laura E. Barnes, Mehdi Boukhechba, et al.. (2018). DemonicSalmon: Monitoring Social Anxiety and Depression Symptoms Through Smartphones. Open Science Framework. 2 indexed citations
17.
Alipour, Mohamad, et al.. (2017). Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests. Journal of Bridge Engineering. 22(10). 53 indexed citations
18.
Barnes, Laura E., et al.. (2016). A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals.. The Florida AI Research Society. 355–360. 3 indexed citations
19.
Alipour, Mohamad, Amir Gheitasi, Devin K. Harris, Osman E. Ozbulut, & Laura E. Barnes. (2016). A Data-Driven Approach for Automated Operational Safety Evaluation of the National Inventory of Reinforced Concrete Slab Bridges. Transportation Research Board 95th Annual MeetingTransportation Research Board. 8 indexed citations
20.
Barnes, Laura E., et al.. (2015). Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. International Conference on Information Fusion. 311–318. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mi Zhang Breakdown of academic impact, for papers by Rüdiger Pryss Breakdown of academic impact, for papers by Neal Lathia Breakdown of academic impact, for papers by Santosh Kumar Breakdown of academic impact, for papers by Andrew Raij Breakdown of academic impact, for papers by Aaron Bangor Breakdown of academic impact, for papers by Venet Osmani Breakdown of academic impact, for papers by Afsaneh Doryab Breakdown of academic impact, for papers by Dian Tjondronegoro Breakdown of academic impact, for papers by Oscar Mayora
Rankless by CCL
2026