Eiko Fried
Impact in
- Experimental and Cognitive Psychology top 0.02%
- Mental Health Research Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Biological Psychiatry top 0.1%
- Tryptophan and brain disorders
Papers in
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- Mental Health Research Topics 124
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- Functional Brain Connectivity Studies 48
- Co-authors
- Sacha Epskamp (19 shared papers)Randolph M. Nesse (6 shared papers)Denny Borsboom (18 shared papers)Angélique O. J. Cramer (6 shared papers)Jessica Kay Flake (2 shared papers)Claudia D. van Borkulo (10 shared papers)Jonas M B Haslbeck (7 shared papers)Robert A. Schoevers (6 shared papers)
- Journals
- Psychological Medicine (13 papers)Journal of Affective Disorders (10 papers)JAMA Psychiatry (6 papers)The Lancet Psychiatry (5 papers)Journal of Abnormal Psychology (5 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Eiko Fried
157 papers receiving 16.1k citations
Eiko Fried's Hit Papers
Peers
Comparison fields: 5 of 182
- Experimental and Cognitive Psychology 9.8k
- Biological Psychiatry 1.4k
- Applied Psychology 1.0k
- Cognitive Neuroscience 3.5k
- Clinical Psychology 3.6k
Countries citing papers authored by Eiko Fried
This map shows the geographic impact of Eiko Fried'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 Eiko Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Fried more than expected).
Fields of papers citing papers by Eiko Fried
This network shows the impact of papers produced by Eiko Fried. 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 Eiko Fried. The network helps show where Eiko Fried may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiko Fried, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A tutorial on regularized partial correlation networks. Hit paper breakdown → | 2018 | 1908 |
| 2 | Network analysis of multivariate data in psychological science Hit paper breakdown → | 2021 | 778 |
| 3 | Mental disorders as networks of problems: a review of recent insights Hit paper breakdown → | 2016 | 769 |
| 4 | Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study Hit paper breakdown → | 2014 | 722 |
| 5 | Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential Hit paper breakdown → | 2015 | 701 |
| 6 | Moving Forward: Challenges and Directions for Psychopathological Network Theory and Methodology Hit paper breakdown → | 2017 | 665 |
| 7 | Network analysis of depression and anxiety symptom relationships in a psychiatric sample Hit paper breakdown → | 2016 | 646 |
| 8 | What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis Hit paper breakdown → | 2015 | 544 |
| 9 | Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them Hit paper breakdown → | 2020 | 503 |
| 10 | The 52 symptoms of major depression: Lack of content overlap among seven common depression scales Hit paper breakdown → | 2016 | 456 |
| 11 | Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks: A Cross-Cultural Multisite Study of PTSD Symptoms in Four Trauma Patient Samples Hit paper breakdown → | 2018 | 339 |
| 12 | 2014 | 310 | |
| 13 | How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets Hit paper breakdown → | 2017 | 304 |
| 14 | Reporting standards for psychological network analyses in cross-sectional data. Hit paper breakdown → | 2022 | 300 |
| 15 | A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research Hit paper breakdown → | 2019 | 290 |
| 16 | Problematic assumptions have slowed down depression research: why symptoms, not syndromes are the way forward Hit paper breakdown → | 2015 | 263 |
| 17 | 2016 | 260 | |
| 18 | 2015 | 242 | |
| 19 | 2018 | 228 | |
| 20 | 2016 | 227 |
About Eiko Fried
Eiko Fried is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Clinical Psychology, Biological Psychiatry and Applied Psychology, having authored 167 papers that have together received 16.4k indexed citations. Recurring topics across this work include Mental Health Research Topics (124 papers), Functional Brain Connectivity Studies (48 papers), Tryptophan and brain disorders (13 papers), Child and Adolescent Psychosocial and Emotional Development (11 papers), Mental Health and Psychiatry (10 papers), Personality Disorders and Psychopathology (9 papers), Digital Mental Health Interventions (9 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (9.8k citations), Biological Psychiatry (1.4k citations), Applied Psychology (1.0k citations), Cognitive Neuroscience (3.5k citations) and Clinical Psychology (3.6k citations). Eiko Fried has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Sacha Epskamp, Randolph M. Nesse, Denny Borsboom, Angélique O. J. Cramer, Jessica Kay Flake, Claudia D. van Borkulo, Jonas M B Haslbeck, Robert A. Schoevers, Francis Tuerlinckx and Donald J. Robinaugh. Their work appears in journals such as Psychological Medicine, Journal of Affective Disorders, JAMA Psychiatry, The Lancet Psychiatry and Journal of Abnormal Psychology.
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.