Catherine Hanson

1.3k total citations
31 papers, 849 citations indexed

About

Catherine Hanson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Catherine Hanson has authored 31 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Catherine Hanson's work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (8 papers) and Neural and Behavioral Psychology Studies (8 papers). Catherine Hanson is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (8 papers) and Neural and Behavioral Psychology Studies (8 papers). Catherine Hanson collaborates with scholars based in United States and Netherlands. Catherine Hanson's co-authors include Stephen José Hanson, William Hirst, Clark Glymour, Timothy J. Ebner, Yaroslav O. Halchenko, J.D. Ramsey, Russell A. Poldrack, D. Mastrovito, Suchismita Ray and Joseph Ramsey and has published in prestigious journals such as NeuroImage, Journal of Neurophysiology and Neuroscience.

In The Last Decade

Catherine Hanson

31 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Hanson United States 17 547 160 120 98 91 31 849
Elaine J. Anderson United Kingdom 19 925 1.7× 114 0.7× 66 0.6× 76 0.8× 240 2.6× 39 1.3k
José E. Náñez United States 13 1.3k 2.4× 234 1.5× 188 1.6× 42 0.4× 64 0.7× 20 1.5k
Aline Bompas United Kingdom 20 797 1.5× 181 1.1× 105 0.9× 53 0.5× 72 0.8× 39 1.1k
Iain DeWitt United States 9 686 1.3× 202 1.3× 129 1.1× 34 0.3× 118 1.3× 11 970
Diana López-Barroso Spain 15 606 1.1× 77 0.5× 102 0.8× 60 0.6× 136 1.5× 33 883
Wolfgang M. Pauli United States 12 555 1.0× 154 1.0× 144 1.2× 22 0.2× 76 0.8× 17 817
Marcelo G. Mattar United States 16 952 1.7× 227 1.4× 169 1.4× 27 0.3× 101 1.1× 29 1.1k
Yuzheng Hu China 20 710 1.3× 259 1.6× 206 1.7× 73 0.7× 254 2.8× 61 1.3k
Benjamin O. Turner United States 13 1.1k 2.0× 242 1.5× 143 1.2× 38 0.4× 115 1.3× 27 1.4k
Nicholas Ketz United States 10 993 1.8× 123 0.8× 333 2.8× 118 1.2× 63 0.7× 16 1.1k

Countries citing papers authored by Catherine Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Hanson. A scholar is included among the top collaborators of Catherine Hanson 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 Catherine Hanson. Catherine Hanson 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.
Hanson, Stephen José, Vivek Yadav, & Catherine Hanson. (2024). Dense Sample Deep Learning. Neural Computation. 36(6). 1228–1244. 3 indexed citations
2.
Hanson, Catherine, et al.. (2020). Computations and Connectivity Underlying Aversive Counterfactuals. Brain Connectivity. 10(9). 467–478. 2 indexed citations
3.
Mastrovito, D., Catherine Hanson, & Stephen José Hanson. (2018). Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia. NeuroImage Clinical. 18. 367–376. 38 indexed citations
4.
Hanson, Catherine, et al.. (2018). Attentional Bias in Human Category Learning: The Case of Deep Learning. Frontiers in Psychology. 9. 374–374. 7 indexed citations
5.
Ray, Suchismita, et al.. (2017). Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach. Journal of Alcoholism and Drug Dependence. 5(4). 3 indexed citations
6.
Ray, Suchismita, Margaret Haney, Catherine Hanson, Bharat B. Biswal, & Stephen José Hanson. (2015). Modeling Causal Relationship Between Brain Regions Within the Drug-Cue Processing Network in Chronic Cocaine Smokers. Neuropsychopharmacology. 40(13). 2960–2968. 25 indexed citations
7.
Mohlman, Jan, et al.. (2015). Prefrontal-limbic connectivity during worry in older adults with generalized anxiety disorder. Aging & Mental Health. 21(4). 426–438. 25 indexed citations
8.
Hanson, Catherine, et al.. (2014). Brain network response underlying decisions about abstract reinforcers. NeuroImage. 103. 48–54. 10 indexed citations
9.
Hanson, Catherine, Stephen José Hanson, Joseph Ramsey, & Clark Glymour. (2013). Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism. Brain Connectivity. 3(6). 578–589. 29 indexed citations
10.
Ray, Suchismita, Catherine Hanson, Stephen José Hanson, Rashedur M. Rahman, & Marsha E. Bates. (2010). fMRI BOLD Response of High-risk College Students (Part 2): During Memory Priming of Alcohol, Marijuana and Polydrug Picture Cues. Alcohol and Alcoholism. 45(5). 444–448. 3 indexed citations
11.
Manelis, Anna, Catherine Hanson, & Stephen José Hanson. (2010). Implicit memory for object locations depends on reactivation of encoding‐related brain regions. Human Brain Mapping. 32(1). 32–50. 8 indexed citations
12.
Ray, Suchismita, Catherine Hanson, Stephen José Hanson, & Marsha E. Bates. (2010). fMRI BOLD Response in High-risk College Students (Part 1): During Exposure to Alcohol, Marijuana, Polydrug and Emotional Picture Cues. Alcohol and Alcoholism. 45(5). 437–443. 21 indexed citations
13.
Ramsey, J.D., Stephen José Hanson, Catherine Hanson, et al.. (2009). Six problems for causal inference from fMRI. NeuroImage. 49(2). 1545–1558. 243 indexed citations
14.
Hanson, Stephen José, et al.. (2008). Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task. Journal of Computational Neuroscience. 27(1). 103–114. 28 indexed citations
15.
Hanson, Stephen José, et al.. (2007). Dense mode clustering in brain maps. Magnetic Resonance Imaging. 25(9). 1249–1262. 5 indexed citations
16.
Hanson, Stephen José, et al.. (2007). Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action. Brain Structure and Function. 212(3-4). 231–244. 17 indexed citations
17.
18.
Hanson, Catherine, et al.. (1999). Novel Form of Spreading Acidification and Depression in the Cerebellar Cortex Demonstrated by Neutral Red Optical Imaging. Journal of Neurophysiology. 81(4). 1992–1998. 20 indexed citations
19.
Hanson, Catherine, et al.. (1998). Optical responses evoked by cerebellar surface stimulation in vivo using Neutral Red. Neuroscience. 84(3). 645–668. 31 indexed citations
20.
Hanson, Catherine & William Hirst. (1988). Frequency encoding of token and type information.. Journal of Experimental Psychology Learning Memory and Cognition. 14(2). 289–297. 20 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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