Joe Bathelt

1.4k total citations
39 papers, 731 citations indexed

About

Joe Bathelt is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Experimental and Cognitive Psychology. According to data from OpenAlex, Joe Bathelt has authored 39 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 12 papers in Pediatrics, Perinatology and Child Health and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Joe Bathelt's work include Functional Brain Connectivity Studies (18 papers), Neonatal and fetal brain pathology (8 papers) and Neural dynamics and brain function (6 papers). Joe Bathelt is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neonatal and fetal brain pathology (8 papers) and Neural dynamics and brain function (6 papers). Joe Bathelt collaborates with scholars based in United Kingdom, Netherlands and India. Joe Bathelt's co-authors include Duncan E. Astle, Michelle de Haan, Hilde M. Geurts, Susan E. Gathercole, Joni Holmes, Michelle Downes, Naomi Dale, Amy R. Johnson, Rogier Kievit and Roma Šiugždaitė and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Child Development.

In The Last Decade

Joe Bathelt

36 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Bathelt United Kingdom 17 474 183 157 122 111 39 731
MP Milham United States 3 616 1.3× 100 0.5× 127 0.8× 146 1.2× 108 1.0× 5 711
Yaqiong Xiao China 13 355 0.7× 88 0.5× 76 0.5× 83 0.7× 87 0.8× 29 523
Christiane S. Rohr Canada 14 331 0.7× 96 0.5× 85 0.5× 111 0.9× 53 0.5× 28 481
Nora C. Vetter Germany 14 413 0.9× 142 0.8× 179 1.1× 97 0.8× 98 0.9× 25 663
Dorothea L. Floris United Kingdom 16 697 1.5× 184 1.0× 63 0.4× 104 0.9× 65 0.6× 24 804
Lauryn Zipse United States 10 640 1.4× 75 0.4× 92 0.6× 129 1.1× 149 1.3× 21 770
Lauren Kaplan United States 4 333 0.7× 76 0.4× 93 0.6× 67 0.5× 43 0.4× 7 547
Zoe Woodhead United Kingdom 15 779 1.6× 82 0.4× 122 0.8× 105 0.9× 224 2.0× 38 978
Eduard T. Klapwijk Netherlands 12 293 0.6× 84 0.5× 110 0.7× 78 0.6× 47 0.4× 24 570
Andrew Graham United Kingdom 7 285 0.6× 375 2.0× 156 1.0× 35 0.3× 257 2.3× 14 901

Countries citing papers authored by Joe Bathelt

Since Specialization
Citations

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

Fields of papers citing papers by Joe Bathelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Bathelt

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Bathelt. A scholar is included among the top collaborators of Joe Bathelt 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 Joe Bathelt. Joe Bathelt 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
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Bathelt, Joe, Kathleen Rastle, & Joanne Taylor. (2024). Relationship Between Resting State Functional Connectivity and Reading-Related Behavioural Measures in 69 Adults. SHILAP Revista de lepidopterología. 5(2). 589–607. 1 indexed citations
4.
Bathelt, Joe, et al.. (2024). The “central” importance of loneliness in mental health: A network psychometric study. International Journal of Psychology. 59(5). 690–700. 3 indexed citations
5.
Bathelt, Joe, Hilde M. Geurts, & Denny Borsboom. (2021). More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism. Network Neuroscience. 6(2). 445–466. 12 indexed citations
6.
Bathelt, Joe, P. Cédric M. P. Koolschijn, & Hilde M. Geurts. (2021). Atypically slow processing of faces and non-faces in older autistic adults. Autism. 26(7). 1737–1751. 5 indexed citations
7.
Bathelt, Joe, Anna Vignoles, & Duncan E. Astle. (2021). Just a phase? Mapping the transition of behavioural problems from childhood to adolescence. Social Psychiatry and Psychiatric Epidemiology. 56(5). 821–836. 16 indexed citations
8.
Bathelt, Joe & Hilde M. Geurts. (2020). Difference in default mode network subsystems in autism across childhood and adolescence. Autism. 25(2). 556–565. 21 indexed citations
9.
Fuhrmann, Delia, Joe Bathelt, Rogier Kievit, et al.. (2019). A Hierarchical Watershed Model of Fluid Intelligence in Childhood and Adolescence. Cerebral Cortex. 30(1). 339–352. 23 indexed citations
10.
Bathelt, Joe, et al.. (2019). Mapping differential responses to cognitive training using machine learning. Developmental Science. 23(4). e12868–e12868. 14 indexed citations
11.
Bathelt, Joe, Naomi Dale, Michelle de Haan, & Chris A. Clark. (2019). Brain structure in children with congenital visual disorders and visual impairment. Developmental Medicine & Child Neurology. 62(1). 125–131. 7 indexed citations
12.
Bathelt, Joe, et al.. (2019). The cingulum as a marker of individual differences in neurocognitive development. Scientific Reports. 9(1). 2281–2281. 36 indexed citations
13.
Astle, Duncan E., et al.. (2018). Remapping the cognitive and neural profiles of children who struggle at school. Developmental Science. 22(1). e12747–e12747. 67 indexed citations
14.
Bathelt, Joe, Joni Holmes, Duncan E. Astle, et al.. (2018). Data-Driven Subtyping of Executive Function–Related Behavioral Problems in Children. Journal of the American Academy of Child & Adolescent Psychiatry. 57(4). 252–262.e4. 47 indexed citations
15.
Bathelt, Joe, et al.. (2018). Children's academic attainment is linked to the global organization of the white matter connectome. Developmental Science. 21(5). e12662–e12662. 22 indexed citations
16.
Bathelt, Joe, Michelle de Haan, & Naomi Dale. (2018). Adaptive behaviour and quality of life in school-age children with congenital visual disorders and different levels of visual impairment. Research in Developmental Disabilities. 85. 154–162. 34 indexed citations
17.
Bathelt, Joe, Susan E. Gathercole, Amy R. Johnson, & Duncan E. Astle. (2017). Differences in brain morphology and working memory capacity across childhood. Developmental Science. 21(3). e12579–e12579. 38 indexed citations
18.
Bathelt, Joe, Naomi Dale, & Michelle de Haan. (2017). Event-related potential response to auditory social stimuli, parent-reported social communicative deficits and autism risk in school-aged children with congenital visual impairment. Developmental Cognitive Neuroscience. 27. 10–18. 8 indexed citations
19.
Bathelt, Joe, Duncan E. Astle, Jessica Barnes, F. Lucy Raymond, & Kate Baker. (2016). Structural brain abnormalities in a single gene disorder associated with epilepsy, language impairment and intellectual disability. NeuroImage Clinical. 12. 655–665. 18 indexed citations
20.
Bathelt, Joe, Michelle de Haan, Alison Salt, & Naomi Dale. (2016). Executive abilities in children with congenital visual impairment in mid-childhood. Child Neuropsychology. 24(2). 184–202. 17 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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