Robert Fratila

516 total citations
11 papers, 109 citations indexed

About

Robert Fratila is a scholar working on Experimental and Cognitive Psychology, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Robert Fratila has authored 11 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 6 papers in Pharmacology and 3 papers in Cognitive Neuroscience. Recurrent topics in Robert Fratila's work include Mental Health Research Topics (7 papers), Treatment of Major Depression (6 papers) and Functional Brain Connectivity Studies (3 papers). Robert Fratila is often cited by papers focused on Mental Health Research Topics (7 papers), Treatment of Major Depression (6 papers) and Functional Brain Connectivity Studies (3 papers). Robert Fratila collaborates with scholars based in Canada, United States and United Kingdom. Robert Fratila's co-authors include David Benrimoh, Kelly Perlman, Sonia Israel, Gustavo Turecki, Caitrin Armstrong, Marc Miresco, S. H. Johnson, Myriam Tanguay-Sela, Colleen Rollins and Marina Wakid and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Robert Fratila

10 papers receiving 107 citations

Peers

Robert Fratila

ECP

PHARM

Dario Schöbi Switzerland

Jaehun Kim South Korea

Jinyeong Yim South Korea

Shalini Mahato India

Vishnu Bashyam United States

Lena Dorfschmidt United Kingdom

Steven Holfinger United States

Claas Kaehler Australia

Jonathan Aigrain France

Javid Dadashkarimi United States

Dario Schöbi Switzerland

Robert Fratila

42 ×1.1

ECP

82 ×2.6

6 ×0.2

9 ×0.4

PHARM

2 ×0.1

Citations per year, relative to Robert Fratila Robert Fratila (= 1×) peers Dario Schöbi

Countries citing papers authored by Robert Fratila

Since Specialization

Citations

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

Fields of papers citing papers by Robert Fratila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Fratila

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

All Works

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11 of 11 papers shown

Golden, Grace, Sonia Israel, Kelly Perlman, et al.. (2024). Applying artificial intelligence to clinical decision support in mental health: What have we learned?. Health Policy and Technology. 13(2). 100844–100844. 17 indexed citations

Perlman, Kelly, David Benrimoh, Caitrin Armstrong, et al.. (2024). Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets. Translational Psychiatry. 14(1). 263–263. 6 indexed citations

Benrimoh, David, Toshi A. Furukawa, Charles F. Reynolds, et al.. (2023). Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. American Journal of Geriatric Psychiatry. 32(3). 280–292. 5 indexed citations

Rosenfeld, Ariel, David Benrimoh, Robert Fratila, et al.. (2021). Treatment selection using prototyping in latent-space with application to depression treatment. PLoS ONE. 16(11). e0258400–e0258400. 8 indexed citations

Tanguay-Sela, Myriam, David Benrimoh, Robert Fratila, et al.. (2021). Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning. Frontiers in Artificial Intelligence. 4. 561528–561528. 3 indexed citations

Rollins, Colleen, David Benrimoh, Robert Fratila, et al.. (2020). Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression. Frontiers in Artificial Intelligence. 2. 31–31. 26 indexed citations

Fratila, Robert, David Benrimoh, Adam Kapelner, et al.. (2020). Differential Treatment Benet Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data. SHILAP Revista de lepidopterología. 4(0). 61–61. 12 indexed citations

Brown, Robert A., Dumitru Fetco, Robert Fratila, et al.. (2019). Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies. NeuroImage. 208. 116442–116442. 24 indexed citations

Fratila, Robert, David Benrimoh, Adam Kapelner, et al.. (2018). Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data. SSRN Electronic Journal. 3 indexed citations

10.

Benrimoh, David, Robert Fratila, Sonia Israel, & Kelly Perlman. (2018). Deep Learning: A New Horizon for Personalized Treatment of Depression?. McGill Journal of Medicine. 16(1).

11.

Fratila, Robert & S. H. Johnson. (1978). An Introduction to the Theory of Linear Systems. Journal of Dynamic Systems Measurement and Control. 100(2). 162–162. 5 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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