Déborah Marciano

582 total citations
9 papers, 142 citations indexed

About

Déborah Marciano is a scholar working on Cognitive Neuroscience, General Decision Sciences and Applied Psychology. According to data from OpenAlex, Déborah Marciano has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in General Decision Sciences and 2 papers in Applied Psychology. Recurrent topics in Déborah Marciano's work include Decision-Making and Behavioral Economics (5 papers), Neural and Behavioral Psychology Studies (4 papers) and Neural dynamics and brain function (2 papers). Déborah Marciano is often cited by papers focused on Decision-Making and Behavioral Economics (5 papers), Neural and Behavioral Psychology Studies (4 papers) and Neural dynamics and brain function (2 papers). Déborah Marciano collaborates with scholars based in United States, Israel and France. Déborah Marciano's co-authors include Assaf Romm, Ran I. Shorrer, Avinatan Hassidim, Scott J. Reynolds, Yochanan Bigman, Kai Chi Yam, Kurt Gray, Leon Y. Deouell, Robert T. Knight and Shlomo Bentin and has published in prestigious journals such as American Economic Review, PLoS Biology and Computers in Human Behavior.

In The Last Decade

Déborah Marciano

9 papers receiving 136 citations

Peers

Déborah Marciano

CN

SR

EE

MSOR

SPS

Geoffrey Fisher United States

Ignazio Ziano France

Peter Cassey Australia

Daniel M. Farrell United States

Jehan Sparks United States

Elena Petrovskaya United Kingdom

Anthony Enns Canada

Justin P. Allen United States

Eddie Conlon Ireland

Diana Adela Martin Netherlands

Geoffrey Fisher United States

Déborah Marciano

59 ×1.1

CN

15 ×0.3

SR

37 ×0.9

EE

9 ×0.4

MSOR

23 ×1.0

SPS

Citations per year, relative to Déborah Marciano Déborah Marciano (= 1×) peers Geoffrey Fisher

Countries citing papers authored by Déborah Marciano

Since Specialization

Citations

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

Fields of papers citing papers by Déborah Marciano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Déborah Marciano

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

All Works

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9 of 9 papers shown

1.

Bellier, Ludovic, Anaïs Llorens, Déborah Marciano, et al.. (2023). Music can be reconstructed from human auditory cortex activity using nonlinear decoding models. PLoS Biology. 21(8). e3002176–e3002176. 24 indexed citations

2.

Marciano, Déborah, et al.. (2023). Dynamic expectations: Behavioral and electrophysiological evidence of sub-second updates in reward predictions. Communications Biology. 6(1). 871–871. 1 indexed citations

3.

Marciano, Déborah, Brooke R. Staveland, Jack J. Lin, et al.. (2023). Electrophysiological signatures of inequity-dependent reward encoding in the human OFC. Cell Reports. 42(8). 112865–112865. 7 indexed citations

4.

Bigman, Yochanan, Kai Chi Yam, Déborah Marciano, Scott J. Reynolds, & Kurt Gray. (2021). Threat of racial and economic inequality increases preference for algorithm decision-making. Computers in Human Behavior. 122. 106859–106859. 36 indexed citations

5.

Marciano, Déborah, et al.. (2021). Nudging Parents to Improve Children's Oral Health: A Field Study. Open Scholarship Institutional Repository (Washington University in St. Louis). 1 indexed citations

6.

Marciano, Déborah, et al.. (2019). Limited resources or limited luck? Why people perceive an illusory negative correlation between the outcomes of choice options despite unequivocal evidence for independence. Judgment and Decision Making. 14(5). 573–590. 2 indexed citations

7.

Marciano, Déborah, Shlomo Bentin, & Leon Y. Deouell. (2018). Alternative outcomes create biased expectations regarding the received outcome: Evidence from event-related potentials. Neuropsychologia. 113. 126–139. 13 indexed citations

8.

Hassidim, Avinatan, Déborah Marciano, Assaf Romm, & Ran I. Shorrer. (2017). The Mechanism Is Truthful, Why Aren't You?. American Economic Review. 107(5). 220–224. 52 indexed citations

9.

Marciano, Déborah, Assaf Romm, Sacha Bourgeois‐Gironde, & Leon Y. Deouell. (2015). The Alternative Omen Effect: Illusory negative correlation between the outcomes of choice options. Cognition. 146. 324–338. 6 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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