Steven Graham

1.2k total citations
32 papers, 839 citations indexed

About

Steven Graham is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Steven Graham has authored 32 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Steven Graham's work include Memory and Neural Mechanisms (7 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (4 papers). Steven Graham is often cited by papers focused on Memory and Neural Mechanisms (7 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (4 papers). Steven Graham collaborates with scholars based in Singapore, United States and United Kingdom. Steven Graham's co-authors include Kang Sim, Neil Mahant, Karen Byth, Elizabeth McCusker, Geoffrey Hall, Ernesto Macaro, Chris J. Mitchell, Robert Vanderplank, Anqi Qiu and Michael W.L. Chee and has published in prestigious journals such as Blood, Gastroenterology and NeuroImage.

In The Last Decade

Steven Graham

27 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Graham Singapore 16 443 185 183 124 121 32 839
J. Harasty Australia 12 546 1.2× 208 1.1× 75 0.4× 81 0.7× 138 1.1× 18 945
Katherine Field United States 10 351 0.8× 319 1.7× 297 1.6× 248 2.0× 54 0.4× 11 878
Marina Papoutsi United Kingdom 14 511 1.2× 150 0.8× 301 1.6× 250 2.0× 140 1.2× 21 861
Matthew Schall United States 10 363 0.8× 48 0.3× 273 1.5× 48 0.4× 72 0.6× 19 841
Jessica Deleon United States 11 566 1.3× 248 1.3× 37 0.2× 85 0.7× 133 1.1× 20 740
Matthew K. Leonard United States 26 1.4k 3.1× 362 2.0× 187 1.0× 75 0.6× 69 0.6× 50 1.8k
Adam F. Wechsler United States 11 711 1.6× 225 1.2× 63 0.3× 79 0.6× 35 0.3× 13 1.0k
Toni Cunillera Spain 22 1.2k 2.8× 496 2.7× 120 0.7× 33 0.3× 60 0.5× 36 1.6k
Richard Wise United Kingdom 13 1.2k 2.6× 465 2.5× 68 0.4× 71 0.6× 149 1.2× 21 1.5k
Ruth de Diego‐Balaguer Spain 26 1.6k 3.5× 782 4.2× 199 1.1× 149 1.2× 252 2.1× 59 2.0k

Countries citing papers authored by Steven Graham

Since Specialization
Citations

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

Fields of papers citing papers by Steven Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Graham. A scholar is included among the top collaborators of Steven Graham 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 Steven Graham. Steven Graham 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.
Tan, Jasmine, Seppo P. Ahlfors, Steven Graham, et al.. (2025). Lower Cortical Activation and Altered Functional Connectivity Characterize Passive Auditory Spatial Attention in ASD. Autism Research. 18(11). 2240–2253.
2.
Graham, Steven, et al.. (2023). Natural language processing for legal document review: categorising deontic modalities in contracts. Artificial Intelligence and Law. 33(1). 79–100. 1 indexed citations
3.
Ahlfors, Seppo P., Steven Graham, Hari Bharadwaj, et al.. (2023). No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children. Journal of Autism and Developmental Disorders. 54(5). 1947–1960. 5 indexed citations
4.
Alho, Jussi, Sheraz Khan, Fahimeh Mamashli, et al.. (2023). Atypical cortical processing of bottom-up speech binding cues in children with autism spectrum disorders. NeuroImage Clinical. 37. 103336–103336. 5 indexed citations
5.
Graham, Steven, et al.. (2023). Machine Learning Approach to Estimating ECOG PS for a Multiple-Myeloma Cohort from Real World Data. Blood. 142(Supplement 1). 4700–4700.
6.
Alho, Jussi, Sheraz Khan, Fahimeh Mamashli, et al.. (2023). Both stronger and weaker cerebro‐cerebellar functional connectivity patterns during processing of spoken sentences in autism spectrum disorder. Human Brain Mapping. 44(17). 5810–5827. 6 indexed citations
7.
Bharadwaj, Hari, Fahimeh Mamashli, Sheraz Khan, et al.. (2022). Cortical signatures of auditory object binding in children with autism spectrum disorder are anomalous in concordance with behavior and diagnosis. PLoS Biology. 20(2). e3001541–e3001541. 6 indexed citations
8.
Ahlfors, Seppo P., Steven Graham, Jussi Alho, et al.. (2022). Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum. Frontiers in Psychiatry. 13. 902332–902332. 1 indexed citations
9.
Harris, Karen R., Steven Graham, & Tim Urdan. (2012). Individual differences and cultural and contextual factors. American Psychological Association eBooks. 28 indexed citations
10.
Oh, Tomasina M., et al.. (2011). The past tense debate: Is phonological complexity the key to the puzzle?. NeuroImage. 57(1). 271–280. 22 indexed citations
11.
Wills, Andy J., et al.. (2011). Effects of concurrent load on feature- and rule-based generalization in human contingency learning.. Journal of Experimental Psychology Animal Behavior Processes. 37(3). 308–316. 23 indexed citations
12.
Graham, Steven, et al.. (2011). Simultaneous backward conditioned inhibition and mediated conditioning.. Journal of Experimental Psychology Animal Behavior Processes. 37(2). 241–245. 1 indexed citations
13.
Graham, Steven & Ian P. L. McLaren. (2010). Retardation in Human Discrimination Learning as a Consequence of Pre-exposure: Latent Inhibition or Negative Priming?. The Quarterly Journal of Experimental Psychology Section B. 51(2). 155–172. 11 indexed citations
14.
15.
Qiu, Anqi, et al.. (2009). Combined analyses of thalamic volume, shape and white matter integrity in first-episode schizophrenia. NeuroImage. 47(4). 1163–1171. 43 indexed citations
16.
Graham, Steven, et al.. (2009). IQ-Related fMRI Differences during Cognitive Set Shifting. Cerebral Cortex. 20(3). 641–649. 30 indexed citations
17.
Bonardi, Charlotte, Steven Graham, Geoffrey Hall, & Chris J. Mitchell. (2005). Acquired distinctiveness and equivalence in human discrimination learning: Evidence for an attentional process. Psychonomic Bulletin & Review. 12(1). 88–92. 32 indexed citations
18.
Hall, Geoffrey, et al.. (2003). Acquired equivalence and distinctiveness in human discrimination learning: Evidence for associative mediation.. Journal of Experimental Psychology General. 132(2). 266–276. 50 indexed citations
19.
Mahant, Neil, et al.. (2003). Huntington’s disease. Neurology. 61(8). 1085–1092. 132 indexed citations
20.
Chee, Michael W.L., et al.. (2003). Word frequency and subsequent memory effects studied using event-related fMRI. NeuroImage. 20(2). 1042–1051. 48 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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