Daniel M. Low

18 papers receiving 710 citations

Daniel M. Low's Hit Papers

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study 2020 · 220 citations
2200+2+4Years since publication100200300

Peers

Daniel M. Low
Comparison fields: 5 of 103
  • Applied Psychology 98
  • Experimental and Cognitive Psychology 162
  • Health Informatics 15
  • Social Psychology 190
  • Cognitive Neuroscience 103
Replace Łukasz Okruszek with:
Łukasz Okruszek Poland
Kristy Hollingshead United States
Michael Tanana United States
Daniella K. Villalba United States
Talayeh Aledavood Finland
Kfir Asraf Israel
Victor R. Martínez United States
Robert Moulder United States
Christina S. Soma United States
Félix Schoeller United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniel M. Low, 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 Daniel M. Low Line = papers co-authored together Daniel M. Low links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Automated assessment of psychiatric disorders using speech: A systematic review
Hit paper breakdown →
2020324
2
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
Hit paper breakdown →
2020220
3 202038
4 201724
5 202223
6 202121
7 201917
8 202013
9 20229
10 20238
11 20247
12 20225
13
20194
14 20204
15 20233
16 20243
17
[The measurement of deep depression with a questionnaire].
19681
18 20251
19 20260

About Daniel M. Low

Daniel M. Low is a scholar working on Social Psychology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Clinical Psychology and Signal Processing, having authored 19 papers that have together received 725 indexed citations. Recurring topics across this work include Mental Health via Writing (4 papers), Phonocardiography and Auscultation Techniques (3 papers), Reading and Literacy Development (2 papers), Music and Audio Processing (2 papers), Neurobiology of Language and Bilingualism (2 papers), COVID-19 and Mental Health (2 papers), Behavioral Health and Interventions (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Applied Psychology (98 citations), Experimental and Cognitive Psychology (162 citations), Health Informatics (15 citations), Social Psychology (190 citations) and Cognitive Neuroscience (103 citations). Daniel M. Low has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Satrajit Ghosh, Kate H. Bentley, Tanya Talkar, Guillermo Cecchi, Laurie Rumker, John Torous, Fernando Torrente, Adrián Yoris, David Acunzo and Pedro Bekinschtein. Their work appears in journals such as Journal of Medical Internet Research, Frontiers in Psychology, Laryngoscope Investigative Otolaryngology, IEEE Open Journal of Engineering in Medicine and Biology and NeuroImage.

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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