Jay McClelland

685 total citations
6 papers, 477 citations indexed

About

Jay McClelland is a scholar working on Cognitive Neuroscience, Clinical Psychology and Behavioral Neuroscience. According to data from OpenAlex, Jay McClelland has authored 6 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Clinical Psychology and 1 paper in Behavioral Neuroscience. Recurrent topics in Jay McClelland's work include Stress Responses and Cortisol (1 paper), Attention Deficit Hyperactivity Disorder (1 paper) and Psychosomatic Disorders and Their Treatments (1 paper). Jay McClelland is often cited by papers focused on Stress Responses and Cortisol (1 paper), Attention Deficit Hyperactivity Disorder (1 paper) and Psychosomatic Disorders and Their Treatments (1 paper). Jay McClelland collaborates with scholars based in United States. Jay McClelland's co-authors include Susan Nolen–Hoeksema, Jerome Kagan, Richard J. Davidson, Wayne C. Drevets, David G. Amaral, David A. Lewis, Jonathan D. Cohen, George Bush, Martha J. Farah and Lauren B. Alloy and has published in prestigious journals such as Biological Psychiatry, Cognitive Science and Journal of clinical and experimental neuropsychology.

In The Last Decade

Jay McClelland

5 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay McClelland United States	3	159	112	102	93	90	6	477
Weiwei Chu United States	8	264 1.7×	104 0.9×	91 0.9×	37 0.4×	59 0.7×	10	608
Sharron E. Dawes United States	11	204 1.3×	303 2.7×	135 1.3×	79 0.8×	90 1.0×	18	687
Prapti Gautam United States	12	267 1.7×	86 0.8×	54 0.5×	73 0.8×	77 0.9×	14	726
Zanjbeel Mahmood United States	15	97 0.6×	156 1.4×	81 0.8×	61 0.7×	68 0.8×	32	493
Guillem Massana Spain	8	304 1.9×	208 1.9×	34 0.3×	90 1.0×	193 2.1×	9	574
Rujvi Kamat United States	14	104 0.7×	128 1.1×	212 2.1×	62 0.7×	97 1.1×	22	587
Kristina A. Uban United States	12	94 0.6×	37 0.3×	80 0.8×	57 0.6×	38 0.4×	15	589
Ami Tsuchida France	9	478 3.0×	90 0.8×	48 0.5×	40 0.4×	102 1.1×	19	703
Ryan P. Bell United States	15	362 2.3×	96 0.9×	105 1.0×	66 0.7×	98 1.1×	38	705
Pamela E. May United States	16	234 1.5×	45 0.4×	91 0.9×	70 0.8×	42 0.5×	41	544

Countries citing papers authored by Jay McClelland

Since Specialization

Citations

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

Fields of papers citing papers by Jay McClelland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay McClelland

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

All Works

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6 of 6 papers shown

1.

McClelland, Jay, et al.. (2020). A computational model of learning to count in a multimodal, interactive environment.. Cognitive Science. 2 indexed citations

2.

Chen, Sharon, et al.. (2018). Can Generic Neural Networks Estimate Numerosity Like Humans. Cognitive Science. 2 indexed citations

3.

Zhou, Zhenglong, et al.. (2018). Can a Recurrent Neural Network Learn to Count Things. Cognitive Science. 3 indexed citations

4.

McClelland, Jay, Ken A. Paller, Paul J. Reber, Mark Beeman, & Andrew Ortony. (2004). Cognitive Neuroscience: What does it tell us about high-order cognition?. eScholarship (California Digital Library). 26(26).

5.

Davidson, Richard J., David A. Lewis, Lauren B. Alloy, et al.. (2002). Neural and behavioral substrates of mood and mood regulation. Biological Psychiatry. 52(6). 478–502. 306 indexed citations

6.

Butters, Nelson, Igor Grant, Lewis L. Judd, et al.. (1990). Assessment of Aids-related cognitive changes: Recommendations of the NIMH workshop on neuropsychological assessment approaches. Journal of clinical and experimental neuropsychology. 12(6). 963–978. 164 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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