Daniel M. Low

1.1k total citations · 1 hit paper
18 papers, 656 citations indexed

About

Daniel M. Low is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel M. Low has authored 18 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 4 papers in Cognitive Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel M. Low's work include Mental Health via Writing (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). Daniel M. Low is often cited by papers focused on Mental Health via Writing (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). Daniel M. Low collaborates with scholars based in United States, Argentina and Denmark. Daniel M. Low's co-authors include Satrajit Ghosh, Kate H. Bentley, Tanya Talkar, Laurie Rumker, Guillermo Cecchi, John Torous, Fernando Torrente, Adrián Yoris, Pedro Bekinschtein and Facundo Manes and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Daniel M. Low

18 papers receiving 639 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated assessment of psychiatric disorders using speech: A systematic review

2020 286 citations Daniel M. Low, Kate H. Bentley et al. Laryngoscope Investigative Otolaryngology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel M. Low United States	8	219	198	155	136	130	18	656
Jill Boberg United States	11	412 1.9×	415 2.1×	239 1.5×	249 1.8×	71 0.5×	22	821
Christophe Lemey France	9	208 0.9×	136 0.7×	110 0.7×	162 1.2×	221 1.7×	22	718
Łukasz Okruszek Poland	15	229 1.0×	157 0.8×	143 0.9×	84 0.6×	215 1.7×	48	850
Michael Tanana United States	14	232 1.1×	204 1.0×	117 0.8×	292 2.1×	190 1.5×	31	707
Teague R. Henry United States	14	141 0.6×	258 1.3×	60 0.4×	48 0.4×	85 0.7×	30	642
Giota Stratou United States	17	543 2.5×	673 3.4×	336 2.2×	332 2.4×	127 1.0×	25	1.2k
Kristy Hollingshead United States	12	545 2.5×	181 0.9×	626 4.0×	255 1.9×	78 0.6×	27	1.1k
James Gibson United States	14	172 0.8×	133 0.7×	149 1.0×	117 0.9×	59 0.5×	47	583
Daniella K. Villalba United States	13	228 1.0×	244 1.2×	34 0.2×	207 1.5×	240 1.8×	20	737
Sarah Aziz Qatar	14	99 0.5×	142 0.7×	170 1.1×	183 1.3×	49 0.4×	31	781

Countries citing papers authored by Daniel M. Low

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Low. 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 Daniel M. Low. The network helps show where Daniel M. Low may publish in the future.

Co-authorship network of co-authors of Daniel M. Low

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Chen, Yibei, Dorota Jarecka, Rémi Gau, et al.. (2025). Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem. Journal of Medical Internet Research. 27. e63343–e63343. 1 indexed citations

Zuromski, Kelly L., Daniel M. Low, Daniel Kessler, et al.. (2024). Detecting suicide risk among U.S. servicemembers and veterans: a deep learning approach using social media data. Psychological Medicine. 54(12). 3379–3388. 2 indexed citations

Low, Daniel M., et al.. (2024). Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings. SHILAP Revista de lepidopterología. 3(5). e0000516–e0000516. 5 indexed citations

Fusaroli, Michele, Arndis Simonsen, Stephanie A. Borrie, et al.. (2023). Identifying Medications Underlying Communication Atypicalities in Psychotic and Affective Disorders: A Pharmacovigilance Study Within the FDA Adverse Event Reporting System. Journal of Speech Language and Hearing Research. 66(9). 3242–3259. 7 indexed citations

Talkar, Tanya, Daniel M. Low, Andrew J. Simpkin, et al.. (2023). Dissociating COVID-19 from other respiratory infections based on acoustic, motor coordination, and phonemic patterns. Scientific Reports. 13(1). 1567–1567. 3 indexed citations

Torrente, Fernando, Daniel M. Low, & Adrián Yoris. (2022). Risk perception, but also political orientation, modulate behavioral response to COVID-19: A randomized survey experiment. Frontiers in Psychology. 13. 900684–900684. 3 indexed citations

Acunzo, David, Daniel M. Low, & Scott L. Fairhall. (2022). Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus. NeuroImage. 251. 119005–119005. 19 indexed citations

Simpkin, Andrew J., Claire Gibbons, Tanya Talkar, et al.. (2022). Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review. IEEE Open Journal of Engineering in Medicine and Biology. 3. 235–241. 6 indexed citations

Torrente, Fernando, Adrián Yoris, Daniel M. Low, et al.. (2021). Psychological symptoms, mental fatigue and behavioural adherence after 72 continuous days of strict lockdown during the COVID-19 pandemic in Argentina. BJPsych Open. 8(1). e10–e10. 20 indexed citations

10.

Low, Daniel M., et al.. (2020). Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19.. OSF Preprints (OSF Preprints). 4 indexed citations

11.

Torrente, Fernando, Adrián Yoris, Daniel M. Low, et al.. (2020). Sooner than you think: A very early affective reaction to the COVID-19 pandemic and quarantine in Argentina. Journal of Affective Disorders. 282. 495–503. 37 indexed citations

12.

Low, Daniel M., Laurie Rumker, Tanya Talkar, et al.. (2020). Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. Journal of Medical Internet Research. 22(10). e22635–e22635. 206 indexed citations

13.

Low, Daniel M., et al.. (2020). Cognitive Skills Involved in Reading Comprehension of Adolescents with Low Educational Opportunities. Languages. 5(3). 34–34. 11 indexed citations

14.

Low, Daniel M., Kate H. Bentley, & Satrajit Ghosh. (2020). Automated assessment of psychiatric disorders using speech: A systematic review. Laryngoscope Investigative Otolaryngology. 5(1). 96–116. 286 indexed citations breakdown →

15.

Hill, Felix, et al.. (2019). Research at the University of Copenhagen (University of Copenhagen). 4 indexed citations

16.

Low, Daniel M., Kate H. Bentley, & Satrajit Ghosh. (2019). Automated Assessment of Psychiatric Disorders Using Speech: A Systematic Review. OSF Preprints (OSF Preprints). 17 indexed citations

17.

Low, Daniel M., et al.. (2017). The right hemisphere’s contribution to discourse processing: A study in temporal lobe epilepsy. Brain and Language. 171. 31–41. 24 indexed citations

18.

Blaser, Peter, et al.. (1968). [The measurement of deep depression with a questionnaire].. PubMed. 1(5). 299–319. 1 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