Dag Alnæs

10.6k total citations · 1 hit paper
108 papers, 3.7k citations indexed

About

Dag Alnæs is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Dag Alnæs has authored 108 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 40 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Dag Alnæs's work include Functional Brain Connectivity Studies (66 papers), Advanced Neuroimaging Techniques and Applications (38 papers) and Neural dynamics and brain function (19 papers). Dag Alnæs is often cited by papers focused on Functional Brain Connectivity Studies (66 papers), Advanced Neuroimaging Techniques and Applications (38 papers) and Neural dynamics and brain function (19 papers). Dag Alnæs collaborates with scholars based in Norway, United Kingdom and Netherlands. Dag Alnæs's co-authors include Lars T. Westlye, Tobias Kaufmann, Ole A. Andreassen, Nhat Trung Doan, Markus H. Sneve, Tor Endestad, Torgeir Moberget, Ingrid Agartz, Jaroslav Rokicki and Aldo Córdova‐Palomera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dag Alnæs

107 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oxytocin pathway gene networks in the human brain

2019 242 citations Daniel Quintana, Jaroslav Rokicki et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dag Alnæs Norway	33	2.2k	937	725	621	397	108	3.7k
Jürgen Hänggi Switzerland	37	2.5k 1.1×	958 1.0×	923 1.3×	532 0.9×	468 1.2×	79	4.5k
P. Cédric M. P. Koolschijn Netherlands	26	1.7k 0.8×	676 0.7×	541 0.7×	864 1.4×	248 0.6×	34	2.9k
Signe Bray Canada	28	2.3k 1.1×	1.2k 1.3×	480 0.7×	487 0.8×	237 0.6×	106	3.6k
Terrence R. Oakes United States	33	3.1k 1.4×	1.0k 1.1×	853 1.2×	606 1.0×	675 1.7×	53	5.2k
Rachel M. Brouwer Netherlands	34	1.7k 0.8×	954 1.0×	551 0.8×	808 1.3×	243 0.6×	87	3.3k
Franco Cauda Italy	38	3.5k 1.6×	955 1.0×	662 0.9×	987 1.6×	440 1.1×	106	5.0k
René Westerhausen Norway	42	3.2k 1.5×	853 0.9×	771 1.1×	610 1.0×	235 0.6×	103	4.1k
Sergio Duca Italy	33	2.7k 1.2×	767 0.8×	493 0.7×	804 1.3×	300 0.8×	93	4.0k
Thomas Espeseth Norway	31	2.4k 1.1×	1.0k 1.1×	381 0.5×	1.0k 1.6×	189 0.5×	74	4.1k
Suzanne E. Welcome United States	15	2.4k 1.1×	869 0.9×	432 0.6×	878 1.4×	196 0.5×	22	3.8k

Countries citing papers authored by Dag Alnæs

Since Specialization

Citations

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

Fields of papers citing papers by Dag Alnæs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dag Alnæs

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

All Works

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20 of 20 papers shown

Norbom, Linn B., Jaroslav Rokicki, Espen Moen Eilertsen, et al.. (2024). Parental education and income are linked to offspring cortical brain structure and psychopathology at 9–11 years. SHILAP Revista de lepidopterología. 4(1). 9 indexed citations

Voldsbekk, Irene, et al.. (2024). Testing the sensitivity of diagnosis‐derived patterns in functional brain networks to symptom burden in a Norwegian youth sample. Human Brain Mapping. 45(3). e26631–e26631. 3 indexed citations

Roelfs, Daniël, Dennis van der Meer, Dag Alnæs, et al.. (2024). Genetic overlap between multivariate measures of human functional brain connectivity and psychiatric disorders. Nature Mental Health. 2(2). 189–199. 5 indexed citations

Haatveit, Beathe, Lars T. Westlye, Anja Vaskinn, et al.. (2023). Intra- and inter-individual cognitive variability in schizophrenia and bipolar spectrum disorder: an investigation across multiple cognitive domains. SHILAP Revista de lepidopterología. 9(1). 89–89. 9 indexed citations

Norbom, Linn B., Dani Beck, Ingrid Agartz, et al.. (2023). Reaction Time Variability in Children Is Specifically Associated With Attention Problems and Regional White Matter Microstructure. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(8). 832–840. 5 indexed citations

Alnæs, Dag, Martina J. Lund, Ingrid Agartz, et al.. (2023). Larger hypothalamic volume in narcolepsy type 1. SLEEP. 46(11). 5 indexed citations

Lange, Ann‐Marie G. de, Melis Anatürk, Jaroslav Rokicki, et al.. (2022). Mind the gap: Performance metric evaluation in brain‐age prediction. Human Brain Mapping. 43(10). 3113–3129. 82 indexed citations

Lund, Martina J., Dag Alnæs, Jaroslav Rokicki, et al.. (2022). Functional connectivity directionality between large-scale resting-state networks across typical and non-typical trajectories in children and adolescence. PLoS ONE. 17(12). e0276221–e0276221. 1 indexed citations

Beck, Dani, Ann‐Marie G. de Lange, Mads L. Pedersen, et al.. (2021). Cardiometabolic risk factors associated with brain age and accelerated brain ageing. Human Brain Mapping. 43(2). 700–720. 55 indexed citations

10.

Gurholt, Tiril P., Tobias Kaufmann, Oleksandr Frei, et al.. (2021). Population-based body–brain mapping links brain morphology with anthropometrics and body composition. Translational Psychiatry. 11(1). 295–295. 25 indexed citations

11.

Wainstein, Gabriel, Daniel Rojas‐Líbano, Vicente Medel, et al.. (2021). The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task. Network Neuroscience. 5(4). 890–910. 21 indexed citations

12.

Ulrichsen, Kristine M., Knut K. Kolskår, Geneviève Richard, et al.. (2021). Structural brain disconnectivity mapping of post-stroke fatigue. NeuroImage Clinical. 30. 102635–102635. 20 indexed citations

13.

Norbom, Linn B., Jaroslav Rokicki, Dennis van der Meer, et al.. (2020). Testing relationships between multimodal modes of brain structural variation and age, sex and polygenic scores for neuroticism in children and adolescents. Translational Psychiatry. 10(1). 251–251. 5 indexed citations

14.

Ulrichsen, Kristine M., Dag Alnæs, Knut K. Kolskår, et al.. (2020). Dissecting the cognitive phenotype of post‐stroke fatigue using computerized assessment and computational modeling of sustained attention. European Journal of Neuroscience. 52(7). 3828–3845. 23 indexed citations

15.

Kolskår, Knut K., Geneviève Richard, Dag Alnæs, et al.. (2020). Reliability, sensitivity, and predictive value of fMRI during multiple object tracking as a marker of cognitive training gain in combination with tDCS in stroke survivors. Human Brain Mapping. 42(4). 1167–1181. 20 indexed citations

16.

Richard, Geneviève, Knut K. Kolskår, Kristine M. Ulrichsen, et al.. (2019). Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training. NeuroImage Clinical. 25. 102159–102159. 38 indexed citations

17.

Quintana, Daniel, Jaroslav Rokicki, Dennis van der Meer, et al.. (2019). Oxytocin pathway gene networks in the human brain. Nature Communications. 10(1). 668–668. 242 indexed citations breakdown →

18.

Tønnesen, Siren, Tobias Kaufmann, Nhat Trung Doan, et al.. (2018). White matter aberrations and age-related trajectories in patients with schizophrenia and bipolar disorder revealed by diffusion tensor imaging. Scientific Reports. 8(1). 14129–14129. 42 indexed citations

19.

Kolskår, Knut K., Dag Alnæs, Tobias Kaufmann, et al.. (2018). Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and Adolescence. eNeuro. 5(4). ENEURO.0092–18.2018. 15 indexed citations

20.

Dørum, Erlend S., Dag Alnæs, Tobias Kaufmann, et al.. (2016). Age‐related differences in brain network activation and co‐activation during multiple object tracking. Brain and Behavior. 6(11). e00533–e00533. 25 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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