Lilian Weber

1.7k total citations · 1 hit paper
20 papers, 872 citations indexed

About

Lilian Weber is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Lilian Weber has authored 20 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Lilian Weber's work include Neural dynamics and brain function (4 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Neuroscience and Music Perception (3 papers). Lilian Weber is often cited by papers focused on Neural dynamics and brain function (4 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Neuroscience and Music Perception (3 papers). Lilian Weber collaborates with scholars based in United Kingdom, Switzerland and Germany. Lilian Weber's co-authors include Klaas Ε. Stephan, Frederike H. Petzschner, Christoph Mathys, Tim Gard, Andreea O. Diaconescu, Lars Kasper, Marc Tittgemeyer, Saee Paliwal, Zina M. Manjaly and Hélène Haker and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Trends in Cognitive Sciences.

In The Last Decade

Lilian Weber

18 papers receiving 859 citations

Hit Papers

Allostatic Self-efficacy: A Metacognitive Theory of Dysho... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lilian Weber United Kingdom 10 526 332 244 170 112 20 872
Henning Witthaus Germany 14 624 1.2× 521 1.6× 151 0.6× 120 0.7× 94 0.8× 16 1.1k
Katharina Pauly Germany 17 592 1.1× 333 1.0× 300 1.2× 155 0.9× 77 0.7× 25 943
Víctor Costumero Spain 17 567 1.1× 262 0.8× 267 1.1× 136 0.8× 59 0.5× 51 946
Lorena Chanes United States 13 773 1.5× 192 0.6× 200 0.8× 162 1.0× 47 0.4× 20 1.0k
Katja Koelkebeck Germany 20 457 0.9× 364 1.1× 222 0.9× 141 0.8× 102 0.9× 56 988
Rebecca Boehme Sweden 15 509 1.0× 240 0.7× 181 0.7× 132 0.8× 52 0.5× 30 783
Elias Mouchlianitis United Kingdom 18 622 1.2× 286 0.9× 212 0.9× 115 0.7× 32 0.3× 38 1.1k
Rebecca Fuller United States 18 908 1.7× 553 1.7× 177 0.7× 79 0.5× 81 0.7× 35 1.5k
Blas Couto Argentina 17 720 1.4× 798 2.4× 376 1.5× 269 1.6× 149 1.3× 32 1.3k
Vina M. Goghari Canada 19 611 1.2× 457 1.4× 246 1.0× 95 0.6× 65 0.6× 34 1.0k

Countries citing papers authored by Lilian Weber

Since Specialization
Citations

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

Fields of papers citing papers by Lilian Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilian Weber

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

All Works

20 of 20 papers shown
1.
Weber, Lilian, Debbie Yee, Dana M. Small, & Frederike H. Petzschner. (2025). The interoceptive origin of reinforcement learning. Trends in Cognitive Sciences. 29(9). 840–854. 1 indexed citations
3.
McCutcheon, Robert A., et al.. (2024). Psychosis as a disorder of muscarinic signalling: psychopathology and pharmacology. The Lancet Psychiatry. 11(7). 554–565. 12 indexed citations
4.
Casey, Cameron, Sean Tanabe, Sounak Mohanta, et al.. (2023). Subanaesthetic doses of ketamine reduce but do not eliminate predictive coding responses: implications for mechanisms of sensory disconnection. British Journal of Anaesthesia. 131(4). 705–714. 3 indexed citations
5.
Weber, Lilian, et al.. (2023). Quantifying decision-making in dynamic, continuously evolving environments. eLife. 12. 5 indexed citations
8.
Lux, Vanessa, Amy L. Non, Penny M. Pexman, et al.. (2021). A Developmental Framework for Embodiment Research: The Next Step Toward Integrating Concepts and Methods. Frontiers in Systems Neuroscience. 15. 672740–672740. 20 indexed citations
9.
Weber, Lilian, Andreea O. Diaconescu, Christoph Mathys, et al.. (2020). Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity. Journal of Neuroscience. 40(29). 5658–5668. 48 indexed citations
10.
Petzschner, Frederike H., et al.. (2018). Focus of attention modulates the heartbeat evoked potential. NeuroImage. 186. 595–606. 135 indexed citations
11.
Weber, Lilian, Andreea O. Diaconescu, Dario Schöbi, et al.. (2018). F157. HIERARCHICAL PREDICTION ERRORS DURING AUDITORY MISMATCH UNDER PHARMACOLOGICAL MANIPULATIONS: A COMPUTATIONAL SINGLE-TRIAL EEG ANALYSIS. Schizophrenia Bulletin. 44(suppl_1). S281–S282. 3 indexed citations
12.
Petzschner, Frederike H., Lilian Weber, Tim Gard, & Klaas Ε. Stephan. (2017). Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis. Biological Psychiatry. 82(6). 421–430. 103 indexed citations
13.
Stephan, Klaas Ε., Zina M. Manjaly, Christoph Mathys, et al.. (2016). Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression. Frontiers in Human Neuroscience. 10. 550–550. 287 indexed citations breakdown →
14.
Diaconescu, Andreea O., Christoph Mathys, Lilian Weber, et al.. (2016). Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience. 12(4). 618–634. 92 indexed citations
15.
Khader, Patrick H., Thorsten Pachur, Lilian Weber, & Kerstin Jost. (2015). Neural Signatures of Controlled and Automatic Retrieval Processes in Memory-based Decision-making. Journal of Cognitive Neuroscience. 28(1). 69–83. 13 indexed citations
16.
Diaconescu, Andreea O., Christoph Mathys, Lilian Weber, et al.. (2014). Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Computational Biology. 10(9). e1003810–e1003810. 127 indexed citations
17.
Mathys, Christoph, Jean Daunizeau, Sandra Iglesias, et al.. (2012). Computational modeling of perceptual inference: A hierarchical Bayesian approach that allows for individual and contextual differences in weighting of input. International Journal of Psychophysiology. 85(3). 317–318. 5 indexed citations
18.
Merlo, Álvaro Roberto Crespo, et al.. (1999). Uma alternativa terapêutica auxiliar junto a trabalhadores portadores de lesões por esforços repetitivos (LER/DORT): relato de uma experiência com grupos de intervenção. Lume (Universidade Federal do Rio Grande do Sul).
19.
Weber, Lilian, et al.. (1972). Qualitative Analyse der Calcium-Verteilung beim Peristerit mittels Sekund�rionen-Mikroanalysator. Die Naturwissenschaften. 59(6). 269–270. 2 indexed citations
20.
Laves, F. & Lilian Weber. (1971). The mutual orientation of peristerite phases. Die Naturwissenschaften. 58(7). 361–361. 1 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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