Lisa Doove

17 total papers · 513 total citations
9 papers, 323 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 323 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 Belgium, Netherlands and Italy. Lisa Doove's co-authors include Elise Dusseldorp, Stef van Buuren, Iven Van Mechelen, Katrijn Van Deun, Saskia Van der Oord, Kim Bul, Ingmar H. A. Franken, Pamela M. Kato, Athanasios Maras 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 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lisa Doove	121	52	48	44	39	9	323
Guan-Hua Huang	53 0.4×	32 0.6×	9 0.2×	29 0.7×	47 1.2×	13	345
Youri L. Mora	23 0.2×	22 0.4×	77 1.6×	15 0.3×	55 1.4×	6	359
Diana Kelmansky	43 0.4×	38 0.7×	23 0.5×	22 0.5×	7 0.2×	25	308
Jamis J. Perrett	25 0.2×	20 0.4×	25 0.5×	16 0.4×	19 0.5×	17	300
Chelsea Muth	20 0.2×	18 0.3×	35 0.7×	18 0.4×	42 1.1×	9	348
Gibbs Y. Kanyongo	33 0.3×	10 0.2×	34 0.7×	28 0.6×	37 0.9×	25	353
Henry R. Burke	29 0.2×	39 0.8×	66 1.4×	54 1.2×	60 1.5×	10	327
Jean‐Christophe Goulet‐Pelletier	22 0.2×	19 0.4×	43 0.9×	20 0.5×	42 1.1×	13	259
M. Mushfiqur Rashid	101 0.8×	13 0.3×	30 0.6×	12 0.3×	9 0.2×	13	289
Walter Kaczetow	38 0.3×	29 0.6×	133 2.8×	53 1.2×	16 0.4×	9	298

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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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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