Lea Waller

743 total citations
11 papers, 306 citations indexed

About

Lea Waller is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lea Waller has authored 11 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lea Waller's work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mental Health Research Topics (4 papers). Lea Waller is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Mental Health Research Topics (4 papers). Lea Waller collaborates with scholars based in Germany, United States and Belgium. Lea Waller's co-authors include Henrik Walter, Johann Kruschwitz, Mikail Rubinov, Ilya M. Veer, Susanne Erk, Sabine Müller, Lianne Schmaal, Paul M. Thompson, Courtney C. Haswell and Elena Pozzi and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Human Brain Mapping.

In The Last Decade

Lea Waller

10 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea Waller Germany 8 247 96 87 48 19 11 306
Nina de Lacy United States 10 403 1.6× 148 1.5× 80 0.9× 88 1.8× 22 1.2× 18 506
Alessandra D. Nostro Germany 5 243 1.0× 71 0.7× 106 1.2× 28 0.6× 24 1.3× 5 300
Janik Goltermann Germany 7 114 0.5× 61 0.6× 75 0.9× 72 1.5× 13 0.7× 21 270
Yu Shimizu Japan 6 149 0.6× 51 0.5× 101 1.2× 25 0.5× 12 0.6× 9 251
Ilinca Serbanescu Germany 4 155 0.6× 35 0.4× 103 1.2× 36 0.8× 20 1.1× 6 256
Meihui Qiu China 9 195 0.8× 66 0.7× 92 1.1× 86 1.8× 10 0.5× 13 322
Sung Woo Joo South Korea 11 149 0.6× 107 1.1× 68 0.8× 118 2.5× 23 1.2× 41 307
Leon Qi Rong Ooi Singapore 10 270 1.1× 107 1.1× 110 1.3× 33 0.7× 9 0.5× 19 381
Pavol Mikoláš Czechia 8 142 0.6× 78 0.8× 45 0.5× 64 1.3× 27 1.4× 18 251
Marco Paolini Germany 10 269 1.1× 46 0.5× 86 1.0× 46 1.0× 37 1.9× 39 353

Countries citing papers authored by Lea Waller

Since Specialization
Citations

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

Fields of papers citing papers by Lea Waller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Waller

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

All Works

11 of 11 papers shown
1.
Bärtl, Christoph, T. Krause, Lea Waller, et al.. (2025). The Ups and Downs of Brain Stress: Extending the Triple Network Hypothesis. Biological Psychiatry Cognitive Neuroscience and Neuroimaging.
2.
Bärtl, Christoph, et al.. (2023). Neural and cortisol responses to acute psychosocial stress in work-related burnout: The Regensburg Burnout Project. Psychoneuroendocrinology. 161. 106926–106926. 7 indexed citations
3.
Waller, Lea, Susanne Erk, Elena Pozzi, et al.. (2022). ENIGMA HALFpipe : Interactive, reproducible, and efficient analysis for resting‐state and task‐based fMRI data. Human Brain Mapping. 43(9). 2727–2742. 43 indexed citations
4.
5.
Kruschwitz, Johann, Vera U. Ludwig, Lea Waller, et al.. (2018). Regulating Craving by Anticipating Positive and Negative Outcomes: A Multivariate Pattern Analysis and Network Connectivity Approach. Frontiers in Behavioral Neuroscience. 12. 297–297. 13 indexed citations
6.
7.
Kruschwitz, Johann, Lea Waller, David Wisniewski, et al.. (2018). Anticipating the good and the bad: A study on the neural correlates of bivalent emotion anticipation and their malleability via attentional deployment. NeuroImage. 183. 553–564. 6 indexed citations
8.
Waller, Lea, Henrik Walter, Johann Kruschwitz, et al.. (2017). Evaluating the replicability, specificity, and generalizability of connectome fingerprints. NeuroImage. 158. 371–377. 43 indexed citations
9.
Lett, Tristram A., Lea Waller, Heike Tost, et al.. (2017). 313. Cortical Surface Based Threshold Free Cluster Enhancement and Cortex-Wise Mediation. Biological Psychiatry. 81(10). S129–S129. 1 indexed citations
10.
Lett, Tristram A., Lea Waller, Heike Tost, et al.. (2017). Cortical surface‐based threshold‐free cluster enhancement and cortexwise mediation. Human Brain Mapping. 38(6). 2795–2807. 16 indexed citations
11.
Kruschwitz, Johann, et al.. (2015). GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity. Journal of Neuroscience Methods. 245. 107–115. 116 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nina de Lacy Breakdown of academic impact, for papers by Alessandra D. Nostro Breakdown of academic impact, for papers by Janik Goltermann Breakdown of academic impact, for papers by Yu Shimizu Breakdown of academic impact, for papers by Ilinca Serbanescu Breakdown of academic impact, for papers by Meihui Qiu Breakdown of academic impact, for papers by Sung Woo Joo Breakdown of academic impact, for papers by Leon Qi Rong Ooi Breakdown of academic impact, for papers by Pavol Mikoláš Breakdown of academic impact, for papers by Marco Paolini
Rankless by CCL
2026