Matthew J. Weber

684 total citations
12 papers, 437 citations indexed

About

Matthew J. Weber is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Matthew J. Weber has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Developmental and Educational Psychology and 3 papers in Social Psychology. Recurrent topics in Matthew J. Weber's work include Neural and Behavioral Psychology Studies (7 papers), Child and Animal Learning Development (4 papers) and Functional Brain Connectivity Studies (3 papers). Matthew J. Weber is often cited by papers focused on Neural and Behavioral Psychology Studies (7 papers), Child and Animal Learning Development (4 papers) and Functional Brain Connectivity Studies (3 papers). Matthew J. Weber collaborates with scholars based in United States, United Kingdom and France. Matthew J. Weber's co-authors include Sharon L. Thompson‐Schill, Evangelia G. Chrysikou, John A. Detre, Hengyi Rao, Daniel N. Osherson, James V. Haxby, Lawrence M. Parsons and Brian Avants and has published in prestigious journals such as Neuropsychologia, Journal of Cognitive Neuroscience and Human Brain Mapping.

In The Last Decade

Matthew J. Weber

12 papers receiving 430 citations

Peers

Matthew J. Weber
Taraz G. Lee United States
Magdalena W. Sliwinska United Kingdom
Rachel Holland United Kingdom
Amy Price United States
A. Lisette Isenberg United States
Gijs van Elswijk Netherlands
Matthew J. Weber
Citations per year, relative to Matthew J. Weber Matthew J. Weber (= 1×) peers Silvia Rizzo

Countries citing papers authored by Matthew J. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Weber. 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 Matthew J. Weber. The network helps show where Matthew J. Weber may publish in the future.

Co-authorship network of co-authors of Matthew J. Weber

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

All Works

12 of 12 papers shown
1.
Weber, Matthew J., et al.. (2019). Potential Nervous System Sensitization in Patients With Persistent Lower Extremity Tendinopathies: 3 Case Reports. Journal of Orthopaedic and Sports Physical Therapy. 49(4). 272–279. 9 indexed citations
2.
Weber, Matthew J., et al.. (2014). Visual statistical learning is not reliably modulated by selective attention to isolated events. Attention Perception & Psychophysics. 77(1). 78–96. 33 indexed citations
3.
Weber, Matthew J., et al.. (2014). Prefrontal transcranial direct current stimulation alters activation and connectivity in cortical and subcortical reward systems: A tDCS‐fMRI study. Human Brain Mapping. 35(8). 3673–3686. 138 indexed citations
4.
Weber, Matthew J., John A. Detre, Sharon L. Thompson‐Schill, & Brian Avants. (2013). Reproducibility of functional network metrics and network structure: A comparison of task-related BOLD, resting ASL with BOLD contrast, and resting cerebral blood flow. Cognitive Affective & Behavioral Neuroscience. 13(3). 627–640. 16 indexed citations
5.
Chrysikou, Evangelia G., Matthew J. Weber, & Sharon L. Thompson‐Schill. (2013). A matched filter hypothesis for cognitive control. Neuropsychologia. 62. 341–355. 113 indexed citations
6.
Weber, Matthew J. & Daniel N. Osherson. (2013). Category-based induction from similarity of neural activation. Cognitive Affective & Behavioral Neuroscience. 14(1). 24–36. 1 indexed citations
7.
Weber, Matthew J. & Sharon L. Thompson‐Schill. (2010). Functional Neuroimaging Can Support Causal Claims about Brain Function. Journal of Cognitive Neuroscience. 22(11). 2415–2416. 22 indexed citations
8.
Thompson‐Schill, Sharon L., et al.. (2010). An early stage of conceptual combination: Superimposition of constituent concepts in left anterolateral temporal lobe. Cognitive Neuroscience. 1(1). 44–51. 43 indexed citations
9.
Weber, Matthew J., Sharon L. Thompson‐Schill, Daniel N. Osherson, James V. Haxby, & Lawrence M. Parsons. (2009). Predicting judged similarity of natural categories from their neural representations. Neuropsychologia. 47(3). 859–868. 50 indexed citations
10.
Weber, Matthew J. & Daniel N. Osherson. (2009). Similarity and Induction. Review of Philosophy and Psychology. 1(2). 245–264. 6 indexed citations
11.
Weber, Matthew J., et al.. (2005). Seat Belt Retractor Performance Evaluation in Rollover Crashes. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
12.
Weber, Matthew J., et al.. (2005). Seat Belt Buckle Performance in High Energy Wheel-to-Ground Impacts. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 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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