Anna E. Goudriaan

15.9k total citations · 1 hit paper
213 papers, 9.2k citations indexed

About

Anna E. Goudriaan is a scholar working on Clinical Psychology, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, Anna E. Goudriaan has authored 213 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Clinical Psychology, 51 papers in Epidemiology and 50 papers in Cognitive Neuroscience. Recurrent topics in Anna E. Goudriaan's work include Gambling Behavior and Treatments (58 papers), Substance Abuse Treatment and Outcomes (46 papers) and Neurotransmitter Receptor Influence on Behavior (40 papers). Anna E. Goudriaan is often cited by papers focused on Gambling Behavior and Treatments (58 papers), Substance Abuse Treatment and Outcomes (46 papers) and Neurotransmitter Receptor Influence on Behavior (40 papers). Anna E. Goudriaan collaborates with scholars based in Netherlands, United States and United Kingdom. Anna E. Goudriaan's co-authors include Wim van den Brink, Dick J. Veltman, Jaap Oosterlaan, Ruth J. van Holst, Edwin de Beurs, Reínout W. Wiers, Janna Cousijn, Michiel B. de Ruiter, Kenneth J. Sher and Lianne Schmaal and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Anna E. Goudriaan

201 papers receiving 9.0k 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.

Which conditions should be considered as disorders in the International Classification of Diseases (ICD-11) designation of “other specified disorders due to addictive behaviors”?

2020 269 citations Anna E. Goudriaan, Samuel R. Chamberlain et al. Journal of Behavioral Addictions profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna E. Goudriaan Netherlands	50	4.3k	2.7k	1.9k	1.7k	1.5k	213	9.2k
Antonio Verdejo‐García Spain	57	4.3k 1.0×	3.8k 1.4×	2.7k 1.4×	2.5k 1.5×	2.7k 1.8×	323	12.0k
Andreas Ströhle Germany	54	3.2k 0.7×	2.3k 0.9×	1.3k 0.7×	2.0k 1.2×	2.3k 1.5×	269	10.5k
Philip Gorwood France	51	4.0k 0.9×	1.6k 0.6×	1.7k 0.9×	3.3k 1.9×	1.3k 0.9×	398	10.6k
F. Gerard Moeller United States	61	5.2k 1.2×	2.9k 1.1×	3.5k 1.8×	3.7k 2.2×	2.4k 1.6×	251	13.3k
Ingmar H. A. Franken Netherlands	63	4.3k 1.0×	5.1k 1.9×	2.1k 1.1×	1.4k 0.8×	4.2k 2.8×	255	12.7k
Carolyn M. Mazure United States	49	4.2k 1.0×	1.5k 0.6×	841 0.4×	1.9k 1.1×	1.5k 1.0×	188	11.1k
In Kyoon Lyoo South Korea	54	1.9k 0.5×	2.6k 1.0×	1.4k 0.7×	2.5k 1.5×	1.1k 0.7×	192	9.0k
Matthew S. Stanford United States	25	5.0k 1.2×	2.1k 0.8×	830 0.4×	1.9k 1.1×	1.9k 1.2×	61	9.4k
Rita Z. Goldstein United States	51	2.3k 0.5×	6.0k 2.2×	4.9k 2.6×	1.9k 1.1×	2.5k 1.6×	149	12.0k
Janine D. Flory United States	54	3.4k 0.8×	1.6k 0.6×	942 0.5×	1.4k 0.8×	1.7k 1.1×	144	9.8k

Countries citing papers authored by Anna E. Goudriaan

Since Specialization

Citations

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

Fields of papers citing papers by Anna E. Goudriaan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Goudriaan. 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 Anna E. Goudriaan. The network helps show where Anna E. Goudriaan may publish in the future.

Co-authorship network of co-authors of Anna E. Goudriaan

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

All Works

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20 of 20 papers shown

Ramos, Lucas A., et al.. (2024). Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study. Drug and Alcohol Dependence. 264. 112431–112431.

Kühner, C., Henrike Galenkamp, Anja Lok, et al.. (2024). The Association between Post-Traumatic Stress Disorder and Problematic Alcohol and Cannabis Use in a Multi-Ethnic Cohort in The Netherlands: The HELIUS Study. International Journal of Environmental Research and Public Health. 21(10). 1345–1345. 1 indexed citations

Holst, Ruth J. van, et al.. (2023). Striatal ups or downs? Neural correlates of monetary reward anticipation, cue reactivity and their interaction in alcohol use disorder and gambling disorder. Journal of Behavioral Addictions. 12(2). 571–583. 4 indexed citations

Schouten, Maria J. E., Margreet ten Have, Marlous Tuithof, et al.. (2023). Alcohol use as a predictor of the course of major depressive disorder: a prospective population-based study. Epidemiology and Psychiatric Sciences. 32. e14–e14. 7 indexed citations

Velleman, Richard, et al.. (2023). Helping family members affected by a relative’s substance use or gambling: an evaluation study of the 5-Step Method delivered in the Netherlands. Drugs Education Prevention and Policy. 31(3). 318–327.

Girard, Lisa‐Christine, Mark D. Griffiths, Ingeborg Rossow, et al.. (2023). Temporal order of diagnosis between gambling disorder and substance use disorders: Longitudinal results from the Norwegian Patient Registry. Addictive Behaviors Reports. 17. 100501–100501. 4 indexed citations

Goudriaan, Anna E., et al.. (2023). A guided digital intervention to reduce cannabis use: The ICan randomized controlled trial. Addiction. 118(9). 1775–1786. 4 indexed citations

Besselink, Marc G., Marja A. Boermeester, Stefan A.W. Bouwense, et al.. (2023). Structured alcohol cessation support program versus current practice in acute alcoholic pancreatitis (PANDA): Study protocol for a multicentre cluster randomised controlled trial. Pancreatology. 23(8). 942–948. 1 indexed citations

Hoven, Monja, Anna E. Goudriaan, Damiaan Denys, et al.. (2022). Metacognition and the effect of incentive motivation in two compulsive disorders: Gambling disorder and obsessive–compulsive disorder. Psychiatry and Clinical Neurosciences. 76(9). 437–449. 11 indexed citations

10.

Berg, Elske van den, et al.. (2022). Effectiveness and cost-effectiveness of cognitive behavior therapy-enhanced compared with treatment-as-usual for anorexia nervosa in an inpatient and outpatient routine setting: a consecutive cohort study. Journal of Eating Disorders. 10(1). 2–2. 8 indexed citations

11.

Rossetti, Maria Gloria, Scott Mackey, Praveetha Patalay, et al.. (2021). Sex and dependence related neuroanatomical differences in regular cannabis users: findings from the ENIGMA Addiction Working Group. Translational Psychiatry. 11(1). 272–272. 17 indexed citations

12.

Christ, Carolien, Marleen M. de Waal, Jack Dekker, et al.. (2019). Linking childhood emotional abuse and depressive symptoms: The role of emotion dysregulation and interpersonal problems. PLoS ONE. 14(2). e0211882–e0211882. 113 indexed citations

13.

Chye, Yann, Valentina Lorenzetti, Chao Suo, et al.. (2018). Alteration to hippocampal volume and shape confined to cannabis dependence: a multi‐site study. Addiction Biology. 24(4). 822–834. 32 indexed citations

14.

Lebreton, Maël, et al.. (2018). Two sides of the same coin: Monetary incentives concurrently improve and bias confidence judgments. Science Advances. 4(5). eaaq0668–eaaq0668. 43 indexed citations

15.

Schluter, Renée S., Jochem M. Jansen, Ruth J. van Holst, Wim van den Brink, & Anna E. Goudriaan. (2017). Differential Effects of Left and Right Prefrontal High-Frequency Repetitive Transcranial Magnetic Stimulation on Resting-State Functional Magnetic Resonance Imaging in Healthy Individuals. Brain Connectivity. 8(2). 60–67. 18 indexed citations

16.

Delevoye, Yvonne, et al.. (2016). Association between motor timing and treatment outcomes in patients with alcohol and/or cocaine use disorder in a rehabilitation program. BMC Psychiatry. 16(1). 273–273. 3 indexed citations

17.

Heuvel, Odile A. van den, Guido van Wingen, Carles Soriano‐Mas, et al.. (2015). Brain circuitry of compulsivity. European Neuropsychopharmacology. 26(5). 810–827. 204 indexed citations

18.

Romanczuk‐Seiferth, Nina, Wim van den Brink, & Anna E. Goudriaan. (2014). From Symptoms to Neurobiology: Pathological Gambling in the Light of the New Classification in DSM-5. Neuropsychobiology. 70(2). 95–102. 33 indexed citations

19.

Stevens, Laura J., Antonio Verdejo‐García, Herbert Roeyers, Anna E. Goudriaan, & Wouter Vanderplasschen. (2014). Delay Discounting, Treatment Motivation and Treatment Retention Among Substance-Dependent Individuals Attending an in Inpatient Detoxification Program. Journal of Substance Abuse Treatment. 49. 58–64. 37 indexed citations

20.

Cousijn, Janna, Anna E. Goudriaan, K. Richard Ridderinkhof, et al.. (2012). Approach-Bias Predicts Development of Cannabis Problem Severity in Heavy Cannabis Users: Results from a Prospective FMRI Study. PLoS ONE. 7(9). e42394–e42394. 65 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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