Jon M. Fincham

2.1k total citations
46 papers, 1.5k citations indexed

About

Jon M. Fincham is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Jon M. Fincham has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 16 papers in Artificial Intelligence and 16 papers in Developmental and Educational Psychology. Recurrent topics in Jon M. Fincham's work include Neural and Behavioral Psychology Studies (15 papers), Cognitive and developmental aspects of mathematical skills (14 papers) and Child and Animal Learning Development (12 papers). Jon M. Fincham is often cited by papers focused on Neural and Behavioral Psychology Studies (15 papers), Cognitive and developmental aspects of mathematical skills (14 papers) and Child and Animal Learning Development (12 papers). Jon M. Fincham collaborates with scholars based in United States, South Korea and China. Jon M. Fincham's co-authors include John R. Anderson, John R. Anderson, Scott L. Douglass, Cameron S. Carter, Shawn Betts, V. Andrew Stenger, Jennifer L. Ferris, Vincent van Veen, Yulin Qin and Scott Douglass and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Jon M. Fincham

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon M. Fincham United States 21 833 497 432 353 173 46 1.5k
Markus Knauff Germany 25 941 1.1× 518 1.0× 508 1.2× 546 1.5× 129 0.7× 90 2.4k
Peter Shell United States 5 419 0.5× 401 0.8× 346 0.8× 728 2.1× 139 0.8× 8 1.3k
Moreno I. Coco United Kingdom 17 873 1.0× 752 1.5× 409 0.9× 569 1.6× 98 0.6× 52 2.0k
Gary E. Raney United States 18 968 1.2× 915 1.8× 351 0.8× 578 1.6× 78 0.5× 33 1.6k
Richard Cooper United Kingdom 22 885 1.1× 540 1.1× 285 0.7× 358 1.0× 49 0.3× 96 1.7k
Edward L. DeLosh United States 16 1.1k 1.3× 564 1.1× 430 1.0× 439 1.2× 36 0.2× 22 1.6k
Arnold L. Glass United States 20 851 1.0× 493 1.0× 245 0.6× 419 1.2× 90 0.5× 60 1.6k
Heinz‐Martin Süß Germany 16 1.0k 1.2× 476 1.0× 317 0.7× 1.1k 3.2× 152 0.9× 35 2.0k
Evie Vergauwe Switzerland 21 1.6k 1.9× 376 0.8× 171 0.4× 864 2.4× 144 0.8× 56 2.0k
Edward C. Merrill United States 18 594 0.7× 470 0.9× 243 0.6× 171 0.5× 78 0.5× 52 1.3k

Countries citing papers authored by Jon M. Fincham

Since Specialization
Citations

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

Fields of papers citing papers by Jon M. Fincham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon M. Fincham. 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 Jon M. Fincham. The network helps show where Jon M. Fincham may publish in the future.

Co-authorship network of co-authors of Jon M. Fincham

This figure shows the co-authorship network connecting the top 25 collaborators of Jon M. Fincham. A scholar is included among the top collaborators of Jon M. Fincham 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 Jon M. Fincham. Jon M. Fincham 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.
Anderson, John R., et al.. (2020). Reconstructing fine-grained cognition from brain activity. NeuroImage. 221. 116999–116999. 2 indexed citations
2.
Fincham, Jon M., Hee Seung Lee, & John R. Anderson. (2019). Spatiotemporal analysis of event‐related fMRI to reveal cognitive states. Human Brain Mapping. 41(3). 666–683. 4 indexed citations
3.
Anderson, John R., Jon M. Fincham, Jennifer L. Ferris, & Shawn Betts. (2018). Can Neural Imaging Investigate Learning in an Educational Task?. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
4.
Anderson, John R., Jelmer P. Borst, Jon M. Fincham, et al.. (2018). The Common Time Course of Memory Processes Revealed. Psychological Science. 29(9). 1463–1474. 13 indexed citations
5.
Fincham, Jon M., John R. Anderson, Shawn Betts, & Jennifer L. Ferris. (2018). Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 51–60. 2 indexed citations
6.
Corbett, Albert T., John R. Anderson, & Jon M. Fincham. (2018). Menu Selection vs. Typing: Effects on Learning in an Intelligent Programming Tutor. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
7.
Douglass, Scott, et al.. (2018). Traveling the Second Bridge: Using fMRI to Assess an ACT-R Model of Geometry Proof. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 2 indexed citations
8.
Pyke, Aryn, Jon M. Fincham, & John R. Anderson. (2017). When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected?. NeuroImage. 153. 319–335. 9 indexed citations
9.
Tenison, Caitlin, Jon M. Fincham, & John R. Anderson. (2016). Phases of learning: How skill acquisition impacts cognitive processing. Cognitive Psychology. 87. 1–28. 42 indexed citations
10.
Fincham, Jon M., et al.. (2015). End effects and cross-dimensional interference in identification of time and length: Evidence for a common memory mechanism. Cognitive Affective & Behavioral Neuroscience. 15(3). 680–695. 10 indexed citations
11.
Pyke, Aryn, Shawn Betts, Jon M. Fincham, & John R. Anderson. (2014). Visuospatial referents facilitate the learning and transfer of mathematical operations: Extending the role of the angular gyrus. Cognitive Affective & Behavioral Neuroscience. 15(1). 229–250. 9 indexed citations
12.
Anderson, John R. & Jon M. Fincham. (2014). Extending problem-solving procedures through reflection. Cognitive Psychology. 74. 1–34. 35 indexed citations
13.
Lee, Hee Seung, Jon M. Fincham, Shawn Betts, & John R. Anderson. (2014). An fMRI investigation of instructional guidance in mathematical problem solving. Trends in Neuroscience and Education. 3(2). 50–62. 9 indexed citations
14.
Betts, Shawn, et al.. (2012). Brain Networks Supporting Execution of Mathematical Skills versus Acquisition of New Mathematical Competence. PLoS ONE. 7(12). e50154–e50154. 12 indexed citations
15.
Anderson, John R., et al.. (2011). Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. Journal of Cognitive Neuroscience. 23(12). 3983–3997. 20 indexed citations
16.
Anderson, John R., John F. Anderson, Jennifer L. Ferris, Jon M. Fincham, & Kwan‐Jin Jung. (2009). Lateral inferior prefrontal cortex and anterior cingulate cortex are engaged at different stages in the solution of insight problems. Proceedings of the National Academy of Sciences. 106(26). 10799–10804. 35 indexed citations
17.
Anderson, John R., Jon M. Fincham, Yulin Qin, & Andrea Stocco. (2008). A central circuit of the mind. Trends in Cognitive Sciences. 12(4). 136–143. 103 indexed citations
18.
Byrne, D. G., et al.. (2007). Role of Prefrontal and Parietal Cortices in Associative Learning. Cerebral Cortex. 18(4). 904–914. 20 indexed citations
19.
Anderson, John R., Jon M. Fincham, & Scott L. Douglass. (1999). Practice and retention: A unifying analysis.. Journal of Experimental Psychology Learning Memory and Cognition. 25(5). 1120–1136. 29 indexed citations
20.
Anderson, John R., Jon M. Fincham, & Scott L. Douglass. (1997). The role of examples and rules in the acquisition of a cognitive skill.. Journal of Experimental Psychology Learning Memory and Cognition. 23(4). 932–945. 19 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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