Eva Petkova

16.9k total citations · 5 hit papers
157 papers, 10.9k citations indexed

About

Eva Petkova is a scholar working on Clinical Psychology, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Eva Petkova has authored 157 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Clinical Psychology, 37 papers in Cognitive Neuroscience and 31 papers in Statistics and Probability. Recurrent topics in Eva Petkova's work include Functional Brain Connectivity Studies (21 papers), Statistical Methods and Inference (20 papers) and Statistical Methods in Clinical Trials (15 papers). Eva Petkova is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Statistical Methods and Inference (20 papers) and Statistical Methods in Clinical Trials (15 papers). Eva Petkova collaborates with scholars based in United States, Spain and Canada. Eva Petkova's co-authors include Clifford C. Clogg, Marylène Cloître, Judith Lewis Herman, Bradley Stolbach, Jing Wang, Robert S. Pynoos, Bessel van der Kolk, F. Xavier Castellanos, Sang H. Lee and Philip T. Reiss and has published in prestigious journals such as JAMA, Journal of Neuroscience and Journal of the American Statistical Association.

In The Last Decade

Eva Petkova

152 papers receiving 10.4k citations

Hit Papers

5 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.

Statistical Methods for Comparing Regression Coefficients Between Models

1995 1.6k citations Eva Petkova et al. profile →
A developmental approach to complex PTSD: Childhood and adult cumulative trauma as predictors of symptom complexity

2009 971 citations Marylène Cloître, Eva Petkova et al. profile →
The Resting Brain: Unconstrained yet Reliable

2009 736 citations Zarrar Shehzad, Clare Kelly et al. Cerebral Cortex profile →
Treatment for PTSD Related to Childhood Abuse: A Randomized Controlled Trial

2010 444 citations Marylène Cloître, K. Chase Stovall-McClough et al. American Journal of Psychiatry profile →
Association of Psychiatric Disorders With Mortality Among Patients With COVID-19

2021 239 citations Eva Petkova et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Petkova United States	48	4.3k	2.0k	1.7k	1.1k	1.0k	157	10.9k
Patrick Onghena Belgium	63	3.2k 0.7×	1.8k 0.9×	1.4k 0.9×	992 0.9×	809 0.8×	337	11.6k
Xin Tu United States	61	3.8k 0.9×	1.3k 0.6×	1.6k 1.0×	2.0k 1.8×	1.4k 1.4×	334	13.5k
Bruno Falissard France	62	4.2k 1.0×	1.5k 0.8×	3.0k 1.8×	1.6k 1.5×	1.6k 1.6×	482	13.6k
Jouko Miettunen Finland	57	3.4k 0.8×	1.4k 0.7×	4.5k 2.7×	1.2k 1.1×	1.1k 1.1×	397	11.1k
Vaughan J. Carr Australia	58	3.6k 0.8×	1.6k 0.8×	4.2k 2.5×	851 0.8×	1.5k 1.5×	286	10.9k
William F. Chaplin United States	49	2.2k 0.5×	1.9k 0.9×	1.5k 0.9×	1.0k 0.9×	806 0.8×	134	8.2k
Brian M. D’Onofrio United States	63	4.7k 1.1×	1.9k 0.9×	3.3k 2.0×	1.9k 1.7×	850 0.8×	319	12.5k
Philip Wang United States	22	2.9k 0.7×	1.9k 1.0×	1.9k 1.2×	2.1k 1.9×	1.2k 1.1×	52	8.7k
Gianluca Serafini Italy	69	5.7k 1.3×	1.1k 0.5×	3.8k 2.3×	1.5k 1.4×	981 1.0×	342	12.6k
Nancy M. Petry United States	62	9.4k 2.2×	1.6k 0.8×	2.7k 1.6×	1.6k 1.5×	1.1k 1.1×	162	15.6k

Countries citing papers authored by Eva Petkova

Since Specialization

Citations

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

Fields of papers citing papers by Eva Petkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Petkova

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Petkova. A scholar is included among the top collaborators of Eva Petkova 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 Eva Petkova. Eva Petkova 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

Yu, Chang, Liise‐anne Pirofski, Hyunah Yoon, et al.. (2024). Association between COVID-19 convalescent plasma antibody levels and COVID-19 outcomes stratified by clinical status at presentation. BMC Infectious Diseases. 24(1). 639–639. 1 indexed citations

Lee, William, Patricia Casey, Norman Poole, et al.. (2022). The integrity of the research record: a mess so big and so deep and so tall. The British Journal of Psychiatry. 221(3). 580–581. 3 indexed citations

Kaufman, Kenneth R., Eva Petkova, Kamaldeep Bhui, & Thomas G. Schulze. (2020). A global needs assessment in times of a global crisis: world psychiatry response to the COVID-19 pandemic. BJPsych Open. 6(3). e48–e48. 126 indexed citations

Jiang, Bei, Eva Petkova, Thaddeus Tarpey, & R. Todd Ogden. (2019). A Bayesian approach to joint modeling of matrix‐valued imaging data and treatment outcome with applications to depression studies. Biometrics. 76(1). 87–97. 8 indexed citations

Petkova, Eva, et al.. (2019). A single-index model with multiple-links. Journal of Statistical Planning and Inference. 205. 115–128. 4 indexed citations

Bartlett, Elizabeth, Christine DeLorenzo, Priya Sharma, et al.. (2018). Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder. Neuropsychopharmacology. 43(11). 2221–2230. 56 indexed citations

Markowitz, John C., Yuval Neria, Karina Lovell, Page E. Van Meter, & Eva Petkova. (2017). History of sexual trauma moderates psychotherapy outcome for posttraumatic stress disorder. Depression and Anxiety. 34(8). 692–700. 24 indexed citations

Petkova, Eva, R. Todd Ogden, Thaddeus Tarpey, et al.. (2017). Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study. Contemporary Clinical Trials Communications. 6. 22–30. 21 indexed citations

Chen, Bosi, Krishna Somandepalli, Howard Abikoff, et al.. (2016). 6.64 AN INITIAL INVESTIGATION OF BRAIN FUNCTIONAL REORGANIZATION FOLLOWING ORGANIZATIONAL SKILLS TRAINING IN CHILDREN WITH ATTENTION-DEFICIT/HYPERACTIVITY DISORDER. Journal of the American Academy of Child & Adolescent Psychiatry. 55(10). S225–S225.

10.

Pomara, Nunzio, Davide Bruno, Raymundo Hernando, et al.. (2012). Lower CSF Amyloid Beta Peptides and Higher F2-Isoprostanes in Cognitively Intact Elderly Individuals With Major Depressive Disorder. American Journal of Psychiatry. 169(5). 523–530. 115 indexed citations

11.

Hellerstein, David J., Andrew E. Skodol, Eva Petkova, et al.. (2010). The impact of comorbid dysthymic disorder on outcome in personality disorders. Comprehensive Psychiatry. 51(5). 449–457. 8 indexed citations

12.

Cloître, Marylène, K. Chase Stovall-McClough, Kate B. Nooner, et al.. (2010). Treatment for PTSD Related to Childhood Abuse: A Randomized Controlled Trial. American Journal of Psychiatry. 167(8). 915–924. 444 indexed citations breakdown →

13.

Grzadzinski, Rebecca, Adriana Di Martino, Emily Brady, et al.. (2010). Examining Autistic Traits in Children with ADHD: Does the Autism Spectrum Extend to ADHD?. Journal of Autism and Developmental Disorders. 41(9). 1178–1191. 188 indexed citations

14.

Petkova, Eva, Thaddeus Tarpey, & Usha Govindarajulu. (2009). Predicting Potential Placebo Effect in Drug Treated Subjects. The International Journal of Biostatistics. 5(1). Article 23–Article 23. 7 indexed citations

15.

Shehzad, Zarrar, Clare Kelly, Philip T. Reiss, et al.. (2009). The Resting Brain: Unconstrained yet Reliable. Cerebral Cortex. 19(10). 2209–2229. 736 indexed citations breakdown →

16.

Martino, Adriana Di, Philip T. Reiss, Christopher Hyde, et al.. (2008). Decomposing Intra-Subject Variability in Children with Attention-Deficit/Hyperactivity Disorder. Biological Psychiatry. 64(7). 607–614. 128 indexed citations

17.

Simpson, H. Blair, Eva Petkova, Jianfeng Cheng, et al.. (2007). Statistical choices can affect inferences about treatment efficacy: A case study from obsessive–compulsive disorder research. Journal of Psychiatric Research. 42(8). 631–638. 15 indexed citations

18.

McDowell, David M., Edward V. Nunes, Angela Seracini, et al.. (2005). Desipramine treatment of cocaine-dependent patients with depression: A placebo-controlled trial. Drug and Alcohol Dependence. 80(2). 209–221. 38 indexed citations

19.

Brown, Alan S., J Hooton, Catherine Schaefer, et al.. (2004). Elevated Maternal Interleukin-8 Levels and Risk of Schizophrenia in Adult Offspring. American Journal of Psychiatry. 161(5). 889–895. 383 indexed citations

20.

Walsh, B. Timothy, et al.. (1997). Postprandial cholecystokinin release and gastric emptying in patients with bulimia nervosa. American Journal of Clinical Nutrition. 65(1). 114–120. 90 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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