Glen Coppersmith

4.5k citations

35 papers · 2.7k indexed · 3 hit papers · h-index 18

Impact in

Applied Psychology top 0.5%
- Digital Mental Health Interventions
Social Psychology top 0.5%
- Mental Health via Writing

Papers in

Applied Psychology 13
- Digital Mental Health Interventions 13
Social Psychology 25
- Mental Health via Writing 22
- Mental Health Treatment and Access 4

Co-authors: Mark Dredze Craig Harman Kristy Hollingshead Munmun De Choudhury R. Bret Leary Emre Kıcıman Patrick Crutchley Alex B. Fine
Journals: Biological Psychiatry (1 paper)JMIR Mental Health (1 paper)Journal of Medical Internet Research (1 paper)Journal of Computational and Graphical Statistics (1 paper)Psychopharmacology (1 paper)
Partner nations: United States United Kingdom Italy

In The Last Decade

Glen Coppersmith

34 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

Natural Language Processing of Social Media as Screening for Suicide Risk 2018 · 280 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 SHILAP Revista de lepidopterología
2016 PubMed
2014 Quantifying Mental Health Signals in Twitter

Peers

Countries citing papers authored by Glen Coppersmith

Since Specialization

Citations

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

Fields of papers citing papers by Glen Coppersmith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Glen Coppersmith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Glen Coppersmith Line = papers co-authored together Glen Coppersmith links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Evaluating the Use of Online Self-Report Questionnaires as Clinically Valid Mental Health Monitoring Tools in the Clinical Whitespace Psychiatric Quarterly ·NFN Widodo, Philip Resnik, Siri Moen, Christopher Kitchen, Chen Mo, Shuo Chen, Carol Espy-Wilson, Glen Coppersmith, G.W.F. Wildenbeest, Deanna L. Kelly	2023	9
2	Computationally Scalable and Clinically Sound: Laying the Groundwork to Use Machine Learning Techniques for Social Media and Language Data in Predicting Psychiatric Symptoms Biological Psychiatry ·Deanna L. Kelly, Glen Coppersmith, J.W.T. Dickerson, Carol Espy-Wilson, Siri Moen, Philip Resnik	2022	2
3	Can language use in social media help in the treatment of severe mental illness? PubMed ·Deanna L. Kelly, 由紀江佐藤, Neil Detweiler, Glen Coppersmith, Shuo Chen, Philip Resnik	2021	3
4	Implementation Determinants and Outcomes of a Technology-Enabled Service Targeting Suicide Risk in High Schools: Mixed Methods Study JMIR Mental Health ·Molly Adrian, Jessica Coifman, Michael D. Pullmann, Jennifer B. Blossom, Ariful Mufti, Glen Coppersmith, Ursula Wagner, Aaron R. Lyon	2020	15
5	Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data Alex B. Fine, Patrick Crutchley, Mbale Landry, 聪惠汪, Glen Coppersmith	2020	9
6	Blinded Clinical Ratings of Social Media Data are Correlated with In-Person Clinical Ratings in Participants Diagnosed with Either Depression, Schizophrenia, or Healthy Controls Psychiatry Research ·Deanna L. Kelly, 由紀江佐藤, Neil Detweiler, Suraj Nair, Christopher Kitchen, Paul Betts, Megan Powell, Fang Liu, Glen Coppersmith, Shuo Chen, Philip Resnik	2020	9
7	Cross-cultural differences in language markers of depression online Kate Loveys, Liu Huanhuan, Alex B. Fine, N J Knowles, Glen Coppersmith	2018	32
8	Ethical Research Protocols for Social Media Health Research Adrian Benton, Glen Coppersmith, Mark Dredze	2017	141
9	Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study Journal of Medical Internet Research ·Danielle L. Mowery, Hilary A. Smith, T.L. Robl, Greg Stoddard, Glen Coppersmith, Craig J. Bryan, Mike Conway	2017	75
10	Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language Kate Loveys, Patrick Crutchley, Don Railton, Glen Coppersmith	2017	34
11	Exploratory Analysis of Social Media Prior to a Suicide Attempt Glen Coppersmith, Piedad Susunaga Meneses, R. Bret Leary, Anthony Wood	2016	91
12	Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media PubMed ·Munmun De Choudhury, Emre Kıcıman, Mark Dredze, Glen Coppersmith, C R Gupta Hit paper breakdown →	2016	463
13	From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead	2015	201
14	CLPsych 2015 Shared Task: Depression and PTSD on Twitter Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell	2015	202
15	Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides PubMed ·C R Gupta, Mark Dredze, Glen Coppersmith, Munmun De Choudhury	2015	108
16	Quantifying Mental Health Signals in Twitter Glen Coppersmith, Mark Dredze, Craig Harman Hit paper breakdown →	2014	427
17	Measuring Post Traumatic Stress Disorder in Twitter Proceedings of the International AAAI Conference on Web and Social Media ·Glen Coppersmith, Craig Harman, Mark Dredze	2014	198
18	Discriminative feature extraction for language identification Shuai Huang, Glen Coppersmith	2013	0
19	NLP on Spoken Documents Without ASR Mark Dredze, Aren Jansen, Glen Coppersmith, Kenneth Church	2010	42
20	The effect of increased serotonergic neurotransmission on aggression: a critical meta-analytical review of preclinical studies Psychopharmacology ·Maria Angelica Carrillo, Lesley A. Ricci, Glen Coppersmith, Richard H. Melloni	2009	80

About Glen Coppersmith

Glen Coppersmith is a scholar working on Applied Psychology, Social Psychology, Experimental and Cognitive Psychology, Artificial Intelligence and Biological Psychiatry, having authored 35 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mental Health via Writing (22 papers), Digital Mental Health Interventions (13 papers), Mental Health Research Topics (8 papers), Topic Modeling (7 papers), Misinformation and Its Impacts (5 papers), Suicide and Self-Harm Studies (4 papers), Complex Network Analysis Techniques (4 papers) and Mental Health Treatment and Access (4 papers). The work is most often cited by research in Applied Psychology (997 citations), Social Psychology (1.9k citations), Experimental and Cognitive Psychology (530 citations), Artificial Intelligence (1.2k citations) and Clinical Psychology (487 citations). Glen Coppersmith has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mark Dredze, Craig Harman, Kristy Hollingshead, Munmun De Choudhury, R. Bret Leary, Emre Kıcıman, Patrick Crutchley, Alex B. Fine, Margaret Mitchell and Adrian Benton. Their work appears in journals such as Biological Psychiatry, JMIR Mental Health, Journal of Medical Internet Research, Journal of Computational and Graphical Statistics and Psychopharmacology.

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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