John McCoy

454 total citations
12 papers, 253 citations indexed

About

John McCoy is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, John McCoy has authored 12 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Social Psychology. Recurrent topics in John McCoy's work include Decision-Making and Behavioral Economics (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Data Visualization and Analytics (2 papers). John McCoy is often cited by papers focused on Decision-Making and Behavioral Economics (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Data Visualization and Analytics (2 papers). John McCoy collaborates with scholars based in United States. John McCoy's co-authors include Dražen Prelec, H. Sebastian Seung, Karen Skalla, Tomer Ullman, Barbara A. Mellers, H. Gobind Khorana, Kin-Ming Lo, Deok‐Sun Lee, Satoshi Noguchi and Neil R. Hackett and has published in prestigious journals such as Nature, PLoS ONE and Management Science.

In The Last Decade

John McCoy

11 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John McCoy United States	6	72	70	52	39	38	12	253
Damon McDougall United States	3	22 0.3×	32 0.5×	31 0.6×	3 0.1×	22 0.6×	8	455
Kaitlin Thaney United Kingdom	2	22 0.3×	30 0.4×	31 0.6×	3 0.1×	22 0.6×	2	438
Christopher Rytting United States	4	30 0.4×	187 2.7×	86 1.7×	9 0.2×	5 0.1×	4	382
Sarah Piechowski Germany	4	36 0.5×	31 0.4×	37 0.7×	5 0.1×	7 0.2×	8	386
Samuel Carton United States	11	10 0.1×	225 3.2×	64 1.2×	7 0.2×	22 0.6×	15	351
Mark E. Whiting United States	9	13 0.2×	81 1.2×	47 0.9×	3 0.1×	64 1.7×	19	263
Gustavo Cevolani Italy	8	16 0.2×	95 1.4×	21 0.4×	16 0.4×	3 0.1×	36	267
Ryan West United States	5	32 0.4×	35 0.5×	48 0.9×	37 0.9×	3 0.1×	13	218
Wan‐Ching Wu United States	10	25 0.3×	105 1.5×	50 1.0×	7 0.2×	79 2.1×	15	376
Ke Zhou United Kingdom	11	35 0.5×	137 2.0×	77 1.5×	2 0.1×	39 1.0×	42	425

Countries citing papers authored by John McCoy

Since Specialization

Citations

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

Fields of papers citing papers by John McCoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McCoy

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

McCoy, John, et al.. (2023). Non-commitment in mental imagery. Cognition. 238. 105498–105498. 8 indexed citations

2.

McCoy, John & Dražen Prelec. (2023). A Bayesian Hierarchical Model of Crowd Wisdom Based on Predicting Opinions of Others. Management Science. 4 indexed citations

3.

Mellers, Barbara A., et al.. (2023). Human and Algorithmic Predictions in Geopolitical Forecasting: Quantifying Uncertainty in Hard-to-Quantify Domains. Perspectives on Psychological Science. 19(5). 711–721. 4 indexed citations

4.

Mellers, Barbara A., et al.. (2022). Predicting the future with humans and AI. 6(1). 109–120. 2 indexed citations

5.

Arkes, Hal R., et al.. (2021). Conflicting Goals Influence Physicians’ Expressed Beliefs to Patients and Colleagues. Medical Decision Making. 41(5). 505–514. 1 indexed citations

6.

Liu, Shari, John McCoy, & Tomer Ullman. (2019). People's perception of others' risk preferences.. Cognitive Science. 678–684. 1 indexed citations

7.

McCoy, John & Tomer Ullman. (2019). Judgments of effort for magical violations of intuitive physics. PLoS ONE. 14(5). e0217513–e0217513. 8 indexed citations

8.

McCoy, John & Tomer Ullman. (2018). A Minimal Turing Test. Journal of Experimental Social Psychology. 79. 1–8. 5 indexed citations

9.

Prelec, Dražen, H. Sebastian Seung, & John McCoy. (2017). A solution to the single-question crowd wisdom problem. Nature. 541(7638). 532–535. 175 indexed citations

10.

Skalla, Karen & John McCoy. (2006). Spiritual Assessment of Patients With Cancer: The Moral Authority, Vocational, Aesthetic, Social, and Transcendent Model. Oncology nursing forum. 33(4). 745–751. 26 indexed citations

11.

Dunn, Robert, Neil R. Hackett, Kuo‐Sen Huang, et al.. (1983). Studies on the Light-transducing Pigment Bacteriorhodopsin. Cold Spring Harbor Symposia on Quantitative Biology. 48(0). 853–862. 11 indexed citations

12.

McCoy, John, et al.. (1971). Social Deprivation and Religiosity. Journal for the Scientific Study of Religion. 10(4). 385–385. 8 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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