John W. McCrary

1.1k total citations
18 papers, 861 citations indexed

About

John W. McCrary is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Artificial Intelligence. According to data from OpenAlex, John W. McCrary has authored 18 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Psychiatry and Mental health and 3 papers in Artificial Intelligence. Recurrent topics in John W. McCrary's work include Dementia and Cognitive Impairment Research (6 papers), Functional Brain Connectivity Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). John W. McCrary is often cited by papers focused on Dementia and Cognitive Impairment Research (6 papers), Functional Brain Connectivity Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). John W. McCrary collaborates with scholars based in United States and Switzerland. John W. McCrary's co-authors include Robert M. Chapman, John A. Chapman, Walter S. Hunter, Margaret N. Gardner, Lindsey A. Reilly, Maria Guillily, Tiffany C. Sandoval, Mark Mapstone, Karl U. Smith and William Smith and has published in prestigious journals such as Science, Annals of the New York Academy of Sciences and Neurobiology of Aging.

In The Last Decade

John W. McCrary

17 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. McCrary United States 11 625 198 122 91 75 18 861
Lı́dice Galán Cuba 21 986 1.6× 184 0.9× 180 1.5× 162 1.8× 69 0.9× 36 1.2k
Mario Rodrı́guez Mexico 13 826 1.3× 130 0.7× 126 1.0× 103 1.1× 35 0.5× 18 1.0k
W. Lutzenberger Germany 18 824 1.3× 123 0.6× 184 1.5× 48 0.5× 28 0.4× 37 997
Brian A. Cutillo United States 12 1.1k 1.7× 106 0.5× 135 1.1× 45 0.5× 21 0.3× 15 1.2k
Jessica Schrouff Belgium 19 927 1.5× 159 0.8× 195 1.6× 65 0.7× 48 0.6× 29 1.3k
Erzsébet Marosi Mexico 21 1.3k 2.0× 241 1.2× 165 1.4× 189 2.1× 26 0.3× 35 1.5k
Colleen McCallum United States 3 682 1.1× 92 0.5× 147 1.2× 71 0.8× 19 0.3× 4 847
H. Schimke Austria 10 1.5k 2.4× 76 0.4× 128 1.0× 61 0.7× 36 0.5× 15 1.6k
Jobu Watanabe Japan 16 883 1.4× 171 0.9× 172 1.4× 131 1.4× 34 0.5× 26 1.2k
Nikolay V. Manyakov Belgium 22 955 1.5× 148 0.7× 72 0.6× 49 0.5× 90 1.2× 63 1.2k

Countries citing papers authored by John W. McCrary

Since Specialization
Citations

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

Fields of papers citing papers by John W. McCrary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. McCrary. 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 John W. McCrary. The network helps show where John W. McCrary may publish in the future.

Co-authorship network of co-authors of John W. McCrary

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

All Works

18 of 18 papers shown
1.
Chapman, Robert M., Anton P. Porsteinsson, Margaret N. Gardner, et al.. (2012). C145 as a Short-Latency Electrophysiological Index of Cognitive Compensation in Alzheimer's Disease. Journal of Alzheimer s Disease. 33(1). 55–68. 10 indexed citations
2.
Chapman, Robert M., Mark Mapstone, Margaret N. Gardner, et al.. (2011). Women have Farther to Fall: Gender Differences Between Normal Elderly and Alzheimer's Disease in Verbal Memory Engender Better Detection of Alzheimer's Disease in Women. Journal of the International Neuropsychological Society. 17(4). 654–662. 54 indexed citations
3.
Chapman, Robert M., Mark Mapstone, John W. McCrary, et al.. (2010). Cognitive Dimensions in Alzheimer`s Disease, Mild Cognitive Impairment, and Normal Elderly: Developing a Common Metric~!2009-11-20~!2010-02-01~!2010-03-12~!. PubMed. 3(1). 1–10. 8 indexed citations
4.
Chapman, Robert M., Mark Mapstone, John W. McCrary, et al.. (2010). Predicting conversion from mild cognitive impairment to Alzheimer's disease using neuropsychological tests and multivariate methods. Journal of Clinical and Experimental Neuropsychology. 33(2). 187–199. 87 indexed citations
5.
Chapman, Robert M., Mark Mapstone, Anton P. Porsteinsson, et al.. (2010). Diagnosis of Alzheimer's disease using neuropsychological testing improved by multivariate analyses. Journal of Clinical and Experimental Neuropsychology. 32(8). 793–808. 41 indexed citations
6.
Chapman, Robert M., John W. McCrary, Margaret N. Gardner, et al.. (2009). Brain ERP components predict which individuals progress to Alzheimer's disease and which do not. Neurobiology of Aging. 32(10). 1742–1755. 52 indexed citations
7.
Chapman, Robert M., Geoffrey H. Nowlis, John W. McCrary, et al.. (2006). Brain event-related potentials: Diagnosing early-stage Alzheimer's disease. Neurobiology of Aging. 28(2). 194–201. 63 indexed citations
8.
Chapman, Robert M. & John W. McCrary. (1995). EP Component Identification and Measurement by Principal Components-Analysis. Brain and Cognition. 27(3). 288–310. 190 indexed citations
9.
Chapman, Robert M., et al.. (1995). EP Component Identification and Measurement by Principal Components-Analysis. Brain and Cognition. 28(3). 342–342. 6 indexed citations
10.
Salustri, Carlo, Robert M. Chapman, John A. Chapman, & John W. McCrary. (1993). Word Meaningfulness and Eventrelated Potentials During Phrase Processing. International Journal of Neuroscience. 70(1-2). 117–126. 1 indexed citations
11.
Skrandies, Wolfgang, Robert M. Chapman, John W. McCrary, & John A. Chapman. (1984). Distribution of Latent Components Related to Information Processinga. Annals of the New York Academy of Sciences. 425(1). 271–277. 10 indexed citations
12.
Chapman, Robert M., John W. McCrary, & John R. Tuttle. (1981). Principal components analysis of sources of variability in retinal ganglion cell responses. Biological Cybernetics. 42(1). 45–50. 2 indexed citations
13.
Chapman, Robert M., John W. McCrary, & John A. Chapman. (1981). Memory processes and evoked potentials.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 35(2). 201–212. 59 indexed citations
14.
Chapman, Robert M., et al.. (1978). Brain responses related to semantic meaning. Brain and Language. 5(2). 195–205. 32 indexed citations
15.
Chapman, Robert M., John W. McCrary, & John A. Chapman. (1978). Short-Term Memory: the "Storage" Component of Human Brain Responses Predicts Recall. Science. 202(4373). 1211–1214. 87 indexed citations
16.
McCrary, John W.. (1967). Rite of Penitence. Science. 157(3784). 8–8.
17.
Smith, William, John W. McCrary, & Karl U. Smith. (1960). Delayed Visual Feedback and Behavior. Science. 132(3433). 1013–1014. 69 indexed citations
18.
McCrary, John W. & Walter S. Hunter. (1953). Serial Position Curves in Verbal Learning. Science. 117(3032). 131–134. 90 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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