Lisa Doove

520 total citations
9 papers, 328 citations indexed

About

Lisa Doove is a scholar working on Statistics and Probability, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Lisa Doove has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Lisa Doove's work include Statistical Methods and Inference (4 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Causal Inference Techniques (3 papers). Lisa Doove is often cited by papers focused on Statistical Methods and Inference (4 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Causal Inference Techniques (3 papers). Lisa Doove collaborates with scholars based in Netherlands, Belgium and Italy. Lisa Doove's co-authors include Elise Dusseldorp, Stef van Buuren, Iven Van Mechelen, Katrijn Van Deun, Saskia Van der Oord, Ingmar H. A. Franken, Pamela M. Kato, Athanasios Maras, Kim Bul and Pier J. M. Prins and has published in prestigious journals such as PLoS ONE, Behavior Research Methods and Computational Statistics & Data Analysis.

In The Last Decade

Lisa Doove

9 papers receiving 324 citations

Peers

Lisa Doove

SP

AI

CP

PMH

CN

Sara van Erp Netherlands

Samuel Iddi Ghana

Jay Schaffer United States

Rudolf Debelak Switzerland

Xiaohui Luo China

Gibbs Y. Kanyongo United States

Diana Kelmansky Argentina

Laurence E. Frank Netherlands

Pierre Chaussé France

Guan-Hua Huang United States

Sara van Erp Netherlands

Lisa Doove

111 ×0.9

SP

56 ×1.1

AI

24 ×0.5

CP

25 ×0.5

PMH

53 ×1.4

CN

Citations per year, relative to Lisa Doove Lisa Doove (= 1×) peers Sara van Erp

Countries citing papers authored by Lisa Doove

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Doove

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Doove

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

All Works

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9 of 9 papers shown

1.

Bul, Kim, Lisa Doove, Ingmar H. A. Franken, et al.. (2018). A serious game for children with Attention Deficit Hyperactivity Disorder: Who benefits the most?. PLoS ONE. 13(3). e0193681–e0193681. 49 indexed citations

2.

Boyer, Bianca, Lisa Doove, Hilde M. Geurts, et al.. (2016). Qualitative Treatment-Subgroup Interactions in a Randomized Clinical Trial of Treatments for Adolescents with ADHD: Exploring What Cognitive-Behavioral Treatment Works for Whom. PLoS ONE. 11(3). e0150698–e0150698. 14 indexed citations

3.

Doove, Lisa, Tom F. Wilderjans, Antonio Calcagnì, & Iven Van Mechelen. (2016). Deriving optimal data-analytic regimes from benchmarking studies. Computational Statistics & Data Analysis. 107. 81–91. 4 indexed citations

4.

Dusseldorp, Elise, Lisa Doove, & Iven Van Mechelen. (2015). Quint: An R package for the identification of subgroups of clients who differ in which treatment alternative is best for them. Behavior Research Methods. 48(2). 650–663. 29 indexed citations

5.

Doove, Lisa, Katrijn Van Deun, Elise Dusseldorp, & Iven Van Mechelen. (2015). QUINT: A tool to detect qualitative treatment–subgroup interactions in randomized controlled trials. Psychotherapy Research. 26(5). 612–622. 12 indexed citations

6.

Doove, Lisa, Elise Dusseldorp, Katrijn Van Deun, & Iven Van Mechelen. (2015). A Novel Method for Estimating Optimal Tree-Based Treatment Regimes in Randomized Clinical Trials. 2 indexed citations

7.

Doove, Lisa, Elise Dusseldorp, Katrijn Van Deun, & Iven Van Mechelen. (2013). A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions. Advances in Data Analysis and Classification. 8(4). 403–425. 44 indexed citations

8.

Dusseldorp, Elise, Lisa Doove, & Iven Van Mechelen. (2013). Qualitative Interaction Trees. 2 indexed citations

9.

Doove, Lisa, Stef van Buuren, & Elise Dusseldorp. (2013). Recursive partitioning for missing data imputation in the presence of interaction effects. Computational Statistics & Data Analysis. 72. 92–104. 172 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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