Robert A. Mason

2.6k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Robert A. Mason is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Robert A. Mason has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 5 papers in Social Psychology. Recurrent topics in Robert A. Mason's work include Reading and Literacy Development (5 papers), Neurobiology of Language and Bilingualism (5 papers) and Action Observation and Synchronization (5 papers). Robert A. Mason is often cited by papers focused on Reading and Literacy Development (5 papers), Neurobiology of Language and Bilingualism (5 papers) and Action Observation and Synchronization (5 papers). Robert A. Mason collaborates with scholars based in United States, Brazil and Japan. Robert A. Mason's co-authors include Marcel Adam Just, Tom M. Mitchell, Svetlana V. Shinkareva, Vicente L. Malave, Kai-Min Chang, J. Andrew Carlson, Nancy J. Minshew, Diane L. Williams, Rajesh K. Kana and Augusto Buchweitz and has published in prestigious journals such as Science, PLoS ONE and NeuroImage.

In The Last Decade

Robert A. Mason

17 papers receiving 1.6k citations

Hit Papers

Predicting Human Brain Activity Associated with the Meani... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Mason United States 12 1.3k 324 288 262 243 17 1.7k
Vicente L. Malave United States 7 1.2k 0.9× 144 0.4× 209 0.7× 285 1.1× 134 0.6× 7 1.6k
Rajeev D. S. Raizada United States 22 1.4k 1.0× 247 0.8× 193 0.7× 152 0.6× 318 1.3× 31 1.7k
David E. Huber United States 24 1.4k 1.1× 293 0.9× 358 1.2× 263 1.0× 474 2.0× 71 1.7k
Avniel Singh Ghuman United States 19 2.2k 1.7× 182 0.6× 245 0.9× 112 0.4× 436 1.8× 49 2.6k
Thomas Fangmeier Germany 17 786 0.6× 180 0.6× 134 0.5× 79 0.3× 235 1.0× 40 1.2k
Andrea Stocco United States 19 1.2k 0.9× 287 0.9× 121 0.4× 187 0.7× 208 0.9× 74 1.6k
Gregory V. Jones United Kingdom 21 1.2k 0.9× 543 1.7× 294 1.0× 255 1.0× 481 2.0× 80 1.7k
Mitchell Valdés-Sosa Cuba 23 1.2k 0.9× 180 0.6× 161 0.6× 62 0.2× 342 1.4× 59 1.6k
Hamed Nili United Kingdom 17 1.9k 1.5× 173 0.5× 280 1.0× 219 0.8× 244 1.0× 27 2.2k

Countries citing papers authored by Robert A. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Mason. 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 Robert A. Mason. The network helps show where Robert A. Mason may publish in the future.

Co-authorship network of co-authors of Robert A. Mason

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

All Works

17 of 17 papers shown
1.
Keller, Timothy A., et al.. (2024). The neural and cognitive basis of expository text comprehension. npj Science of Learning. 9(1). 21–21. 2 indexed citations
2.
Shumway, Sandra E., et al.. (2024). A Comparative Study of Mercury Bioaccumulation in Bivalve Molluscs from a Shallow Estuarine Embayment. Archives of Environmental Contamination and Toxicology. 86(3). 262–273. 1 indexed citations
3.
Mason, Robert A., R. A. Schumacher, & Marcel Adam Just. (2022). The neuroscience of advanced scientific concepts. Figshare. 5 indexed citations
4.
Mason, Robert A. & Marcel Adam Just. (2020). Neural Representations of Procedural Knowledge. Psychological Science. 31(6). 729–740. 10 indexed citations
5.
Mason, Robert A. & Marcel Adam Just. (2016). Neural Representations of Physics Concepts. Psychological Science. 27(6). 904–913. 59 indexed citations
6.
Mason, Robert A. & Marcel Adam Just. (2015). Physics instruction induces changes in neural knowledge representation during successive stages of learning. NeuroImage. 111. 36–48. 21 indexed citations
7.
Buchweitz, Augusto, et al.. (2014). Modulation of cortical activity during comprehension of familiar and unfamiliar text topics in speed reading and speed listening. Brain and Language. 139. 49–57. 18 indexed citations
8.
Mason, Robert A., Chantel S. Prat, & Marcel Adam Just. (2013). Neurocognitive Brain Response to Transient Impairment of Wernicke's Area. Cerebral Cortex. 24(6). 1474–1484. 9 indexed citations
9.
Williams, Diane L., Vladimir L. Cherkassky, Robert A. Mason, et al.. (2013). Brain Function Differences in Language Processing in Children and Adults with Autism. Autism Research. 6(4). 288–302. 50 indexed citations
10.
Prat, Chantel S., Robert A. Mason, & Marcel Adam Just. (2011). An fMRI investigation of analogical mapping in metaphor comprehension: The influence of context and individual cognitive capacities on processing demands.. Journal of Experimental Psychology Learning Memory and Cognition. 38(2). 282–294. 66 indexed citations
11.
Shinkareva, Svetlana V., Vicente L. Malave, Robert A. Mason, Tom M. Mitchell, & Marcel Adam Just. (2010). Commonality of neural representations of words and pictures. NeuroImage. 54(3). 2418–2425. 106 indexed citations
12.
Mason, Robert A. & Marcel Adam Just. (2009). The Role of the Theory‐of‐Mind Cortical Network in the Comprehension of Narratives. Language and Linguistics Compass. 3(1). 157–174. 65 indexed citations
13.
Buchweitz, Augusto, et al.. (2009). Japanese and English sentence reading comprehension and writing systems: An fMRI study of first and second language effects on brain activation. Bilingualism Language and Cognition. 12(2). 141–151. 22 indexed citations
14.
Buchweitz, Augusto, Robert A. Mason, Lêda María Braga Tomitch, & Marcel Adam Just. (2009). Brain activation for reading and listening comprehension: An fMRI study of modality effects and individual differences in language comprehension.. Psychology & Neuroscience. 2(2). 111–123. 113 indexed citations
15.
Shinkareva, Svetlana V., Robert A. Mason, Vicente L. Malave, et al.. (2008). Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings. PLoS ONE. 3(1). e1394–e1394. 132 indexed citations
16.
Mitchell, Tom M., Svetlana V. Shinkareva, J. Andrew Carlson, et al.. (2008). Predicting Human Brain Activity Associated with the Meanings of Nouns. Science. 320(5880). 1191–1195. 805 indexed citations breakdown →
17.
Mason, Robert A., Diane L. Williams, Rajesh K. Kana, Nancy J. Minshew, & Marcel Adam Just. (2007). Theory of Mind disruption and recruitment of the right hemisphere during narrative comprehension in autism. Neuropsychologia. 46(1). 269–280. 209 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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