García Alanis, J. C., Nunez, M. D., Wehrheim, M. H., Fiebach, C., Löffler, C., & Schubert, A.-L. (2023). The Devil's in the Variability: A Multidimensional Analysis of EEG Signal Dynamics and Their Relation to Behaviour. PsyArXiv.

Löffler, C., Sadus, K., Frischkorn, G. T., Hagemann, D., & Schubert, A.-L. (2024). The factor structure of executive functions measured with electrophysiological correlates: An event-related potential analysis. PsyArXiv.

Nunez, M. D., Schubert, A.-L., Frischkorn, G. T., & Oberauer, K. (2023). Cognitive models of decision-making with identifiable parameters: Diffusion Decision Models with within-trial noise. PsyArXiv.

Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2023). The brief mind wandering three-factor scale (BMW-3). PsyArXiv.

Schubert, A.-L., Löffler, C., Jungeblut, H. M., & Hülsemann, M. (2024). Trait characteristics of midfrontal theta connectivity as a neurocognitive measure of cognitive control and its relation to general cognitive abilities. PsyArXiv.

Strzelczyk, D., Clayson, P. E., Sigurdardottir, H. M., Mushtaq, F., Pavlov, Y. G., Devillez, H., … Langer, N. (2023). Contralateral delay activity as a marker of visual working memory capacity: a multi-site registered replication. PsyArXiv.

In Press

Steinhilber, M., Schnuerch, M., & Schubert, A.-L. (in press). Sequential Analysis of Variance: Increasing Efficiency of Hypothesis Testing. Psychological Methods.


Löffler, C., Frischkorn, G. T., Hagemann, D., Sadus, K., & Schubert, A.-L. (2024). The common factor of executive functions measures nothing but speed of information uptake. Psychological Research.

Mirman, D., Scheel, A., Schubert, A.-L., & McIntosh, R. D. (2024). Strengthening derivation chains in cognitive neuroscience: Closing editorial. Cortex.

Schubert, A.-L., Löffler, C., Wiebel, C., Kaulhausen, F., & Baudson, T. G. (2024). Don’t waste your time measuring intelligence: Further evidence for the validity of a three-minute speeded reasoning test. Intelligence, 102, 101804.

Vermeent, S., Young, E. S., DeJoseph, M. L., Schubert, A.-L., & Frankenhuis, W. E. (2024). Cognitive deficits and enhancements in youth from adverse conditions: An integrative assessment using Drift Diffusion Modeling in the ABCD study. Developmental Science, e13478.

Wehrheim, M. H., Faskowitz, J., Schubert, A.-L., & Fiebach, C. J. (2024). Reliability of variability and complexity measures for task and task-free BOLD fMRI. Human Brain Mapping, 45(10), e26778.


García Alanis, J. C., Strelow, A. E., Dort, M., Christiansen, H., Pinquart, M., & Panitz, C. (2023). Expectation violations, expectation change, and expectation persistence: The scientific landscape as revealed by bibliometric network analyses. Collabra: Psychology, 9(1), 73830.

Hagemann, D., Ihmels, M., Bast, N., Neubauer, A. B., Schankin, A., & Schubert, A.-L. (2023). Fluid intelligence is (much) more than working memory capacity: An experimental analysis. Journal of Intelligence,11(4), 4.

Jensen, M., García Alanis, J. C., Hüttenrauch, E., Winther-Jensen, M., Chavanon, M.-L., Andersson, G., & Weise, C. (2023). Does it matter what is trained? A randomized controlled trial evaluating the specificity of alpha/delta ratio neurofeedback in reducing tinnitus symptoms. Brain Communications, fcad185.

Marquetand, C., Aboud, A., Hasfurther, M., Göttmann, J., Bahlmann, E., Busch-Tilge, C., Tilge, P., Ivannikova, M., Ensminger, S., Stierle, U., Reil, G.-H., & Reil, J.-C. (2023). New insights into the hemodynamics of pulmonary homograft patients under stress echocardiography: The contribution of pressure recovery. Echocardiography, 1-10.

Nebe, S., Reutter, M., Baker, D., Bölte, J., Domes, G., Gamer, M., Gärtner, A., Gießing, C., Mann, C. G. née, Hilger, K., Jawinski, P., Kulke, L., Lischke, A., Markett, S., Meier, M., Merz, C., Popov, T., Puhlmann, L., Quintana, D., Schäfer, T., Schubert, A.-L., Sperl, M. F. J., Vehlen, A., Lonsdorf, T., & Feld, G. (2023). Enhancing precision in human neuroscience. eLife, 12, e85980.

Sadus, K., Schubert, A.-L., Löffler, C., & Hagemann, D. (2023). An explorative multiverse study for extracting differences in P3 latencies between young and old adults. Psychophysiology, e14459,

Schubert, A.-L., Löffler, C., Sadus, K., Göttmann, J., Hein, J., Schröer, P., Teuber, A., & Hagemann, D. (2023). Working memory load affects intelligence test performance by reducing the strength of relational item bindings and impairing the filtering of irrelevant information. Cognition, 236, 105438.


Dordevic, M., Hoelzer, S., Russo, A., García Alanis, J. C., & Müller, N. G. (2022). The role of the precuneus in human spatial updating in a real environment setting—A cTBS study. Life, 12(8), 1239.
Frischkorn, G. T., Hilger, K., Kretzschmar, A., & Schubert, A.-L. (2022). Intelligenzdiagnostik der Zukunft: Ein Plädoyer für eine prozessorientierte und biologisch inspirierte Intelligenzmessung. Psychologische Rundschau, 73(3), 173-189.
Hilger, K., Spinath, F. M., Troche, S., & Schubert, A.-L. (2022). The biological basis of intelligence: Benchmark findings. Intelligence, 93, 101665.
Löffler, C., Frischkorn, G. T., Rummel, J., Hagemann, D., & Schubert, A.-L. (2022). Do attentional lapses account for the worst performance rule? Journal of Intelligence,10(1), 2.
Mirman, D., Scheel, A. M., Schubert, A.-L., & McIntosh, R. D. (2022). Strengthening derivation chains in cognitive neuroscience: A special issue of Cortex. Cortex, 146, A1–A4.
Radeck, L., Paech, B., Kramer-Gmeiner, F., Wettstein, M., Wahl, H.-W., Schubert, A.-L., & Sperling, U. (2022). Understanding IT-related Well-being, Aging and Health Needs of Older Adults with Crowd-Requirements Engineering. 2022 IEEE 30th International Requirements Engineering Conference Workshops (REW), 57–64.
Sadus, K., Göttmann, J., & Schubert, A.-L. (2022). Predictors of stockpiling behavior during the COVID-19 pandemic in Germany. Journal of Public Health.

Schönbrodt, F., Gärtner, A., Frank, M., Gollwitzer, M., Ihle, M., Mischkowski, D., Phan, L. V., Schmitt, M., Scheel, A. M., Schubert, A.-L., Steinberg, U., & Leising, D. (2022). Responsible Research Assessment I: Implementing DORA for hiring and promotion in psychology. Meta-PsychArchives.

Schubert, A.-L., Löffler, C., & Hagemann, D. (2022). A Neurocognitive Psychometrics Account of Individual Differences in Attentional Control. Journal of Experimental Psychology: General, 151(9), 2060-2082.
Schubert, A.-L., Löffler, C., Hagemann, D., & Sadus, K. (2022). How Robust is the Relationship between Neural Processing Speed and Cognitive Abilities? Psychophysiology, e14165.
Thome, I., García Alanis, J. C., Volk, J., Vogelbacher, C., Steinsträter, O., & Jansen, A. (2022). Let’s face it: The lateralization of the face perception network as measured with fMRI is not clearly right dominant. NeuroImage, 263, 119587.


Euler, M. J., & Schubert, A.-L. (2021). Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence. Intelligence, 88, 101569.
Jungeblut, H. M., Hagemann, D., Löffler, C., & Schubert, A.-L. (2021). An Investigation of the Slope Parameters of Reaction Times and P3 Latencies in the Sternberg Memory Scanning Task – A Fixed-Links Model Approach. Journal of Cognition, 4(1), 26.

Rummel, J., Hagemann, D., Steindorf, L., & Schubert, A.-L. (2021). How consistent is mind wandering across situations and tasks?—A latent state–trait analysis. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication.

Schubert, A.-L., Ferreira, M. B., Mata, A., & Riemenschneider, B. (2021). A diffusion model analysis of belief bias: Different cognitive mechanisms explain how cognitive abilities and thinking styles contribute to conflict resolution in reasoning. Cognition, 211, 104629.

Schubert, A.-L., Hagemann, D., & Göttmann, J. (2021). Do individual effects reflect quantitative or qualitative differences in cognition? Journal of Cognition, 4(1), 50.

Schubert, A.-L., Hagemann, D., Löffler, C., Rummel, J., & Arnau, S. (2021). A chronometric model of the relationship between frontal midline theta functional connectivity and human intelligence. Journal of Experimental Psychology. General, 150(1), 1–22.


Arnau, S., Löffler, C., Rummel, J., Hagemann, D., Wascher, E., & Schubert, A.-L. (2020). Inter-trial alpha power indicates mind wandering. Psychophysiology, 57(6), e13581.
Klatt, L.-I., Schneider, D., Schubert, A.-L., Hanenberg, C., Lewald, J., Wascher, E., & Getzmann, S. (2020).
Unraveling the relation between eeg correlates of attentional orienting and sound localization performance: A diffusion model approach. Journal of Cognitive Neuroscience, 32(5), 945–962.
Lerche, V., von Krause, M., Voss, A., Frischkorn, G. T., Schubert, A.-L., & Hagemann, D. (2020). Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence. Journal of Experimental Psychology. General, 149(12), 2207–2249.
Schubert, A.-L., & Frischkorn, G. T. (2020). Neurocognitive psychometrics of intelligence: How measurement advancements unveiled the role of mental speed in intelligence differences: Current Directions in Psychological Science, 29(2), 140–146.
Schubert, A.-L., Frischkorn, G. T., & Rummel, J. (2020). The validity of the online thought-probing procedure of mind wandering is not threatened by variations of probe rate and probe framing. Psychological Research, 84(7), 1846–1856.
Schubert, A.-L., Hagemann, D., Löffler, C., & Frischkorn, G. T. (2020). Disentangling the Effects of Processing Speed on the Association between Age Differences and Fluid Intelligence. Journal of Intelligence, 8(1), 1.
von Krause, M., Lerche, V., Schubert, A.-L., & Voss, A. (2020). Do Non-Decision Times Mediate the Association between Age and Intelligence across Different Content and Process Domains? Journal of Intelligence, 8(3), 33.


Frischkorn, G. T., Schubert, A.-L., & Hagemann, D. (2019). Processing speed, working memory, and executive functions: Independent or inter-related predictors of general intelligence. Intelligence, 75, 95–110.
Schubert, A.-L. (2019). A meta-analysis of the worst performance rule. Intelligence, 73, 88–100.
Schubert, A.-L., Nunez, M. D., Hagemann, D., & Vandekerckhove, J. (2019). Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account. Computational Brain & Behavior, 2(2), 64–84.
Schubert, A.-L., & Rey-Mermet, A. (2019). Does process overlap theory replace the issues of general intelligence with the issues of attentional control? Journal of Applied Research in Memory and Cognition, 8(3), 277–283.


Frischkorn, G. T., & Schubert, A.-L. (2018). Cognitive models in intelligence research: Advantages and recommendations for their application. Journal of Intelligence, 6(3), 34.
Klotz, A.-L., Tauber, B., Schubert, A.-L., Hassel, A. J., Schröder, J., Wahl, H.-W., Rammelsberg, P., & Zenthöfer, A. (2018). Oral health-related quality of life as a predictor of subjective well-being among older adults—A decade-long longitudinal cohort study. Community Dentistry and Oral Epidemiology, 46(6), 631–638.
Kretzschmar, A., Spengler, M., Schubert, A.-L., Steinmayr, R., & Ziegler, M. (2018). The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us? Journal of Intelligence, 6(3), Article 3.
Schubert, A.-L., Hagemann, D., Frischkorn, G. T., & Herpertz, S. C. (2018). Faster, but not smarter: An experimental analysis of the relationship between mental speed and mental abilities. Intelligence, 71, 66–75.
Zähringer, J., Falquez, R., Schubert, A.-L., Nees, F., & Barnow, S. (2018). Neural correlates of reappraisal considering working memory capacity and cognitive flexibility. Brain Imaging and Behavior, 12(6), 1529–1543.


Schubert, A.-L., Hagemann, D., & Frischkorn, G. T. (2017). Is general intelligence little more than the speed of higher-order processing? Journal of Experimental Psychology. General, 146(10), 1498–1512.

Schubert, A.-L., Hagemann, D., Voss, A., & Bergmann, K. (2017). Evaluating the model fit of diffusion models with the root mean square error of approximation. Journal of Mathematical Psychology, 77, 29–45.


Bergmann, K., Schubert, A.-L., Hagemann, D., & Schankin, A. (2016). Age-related differences in the P3 amplitude in change blindness. Psychological Research, 80(4), 660–676.

Frischkorn, G. T., Schubert, A.-L., Neubauer, A. B., & Hagemann, D. (2016). The Worst Performance Rule as Moderation: New Methods for Worst Performance Analysis. Journal of Intelligence, 4(3), 3.

Schankin, A., Bergmann, K., Schubert, A.-L., & Hagemann, D. (2016). The allocation of attention in change detection and change blindness. Journal of Psychophysiology, 31(3), 94–106.

Schubert, A.-L., Frischkorn, G. T., Hagemann, D., & Voss, A. (2016). Trait characteristics of diffusion model parameters. Journal of Intelligence, 4(3), 7.

Schubert, A.-L., Hagemann, D., Voss, A., Schankin, A., & Bergmann, K. (2015). Decomposing the relationship between mental speed and mental abilities. Intelligence, 51, 28–46.


Mata, A., Schubert, A.-L., & B. Ferreira, M. (2014). The role of language comprehension in reasoning: How “good-enough” representations induce biases. Cognition, 133(2), 457–463.