Jonathan Malmaud

1.2k total citations
7 papers, 758 citations indexed

About

Jonathan Malmaud is a scholar working on Cognitive Neuroscience, Artificial Intelligence and General Decision Sciences. According to data from OpenAlex, Jonathan Malmaud has authored 7 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Artificial Intelligence and 2 papers in General Decision Sciences. Recurrent topics in Jonathan Malmaud's work include Neural and Behavioral Psychology Studies (3 papers), Functional Brain Connectivity Studies (2 papers) and Neural dynamics and brain function (2 papers). Jonathan Malmaud is often cited by papers focused on Neural and Behavioral Psychology Studies (3 papers), Functional Brain Connectivity Studies (2 papers) and Neural dynamics and brain function (2 papers). Jonathan Malmaud collaborates with scholars based in United States and Australia. Jonathan Malmaud's co-authors include António O.S.S. Rangel, Todd A. Hare, Alexander G. Huth, Christof Koch, Milica Milosavljevic, Antonio Rangel, Milica Mormann, Nancy Chang, Kevin Murphy and Samuel J. Gershman and has published in prestigious journals such as Journal of Neuroscience, Judgment and Decision Making and Decision.

In The Last Decade

Jonathan Malmaud

7 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Malmaud United States	6	431	220	143	137	130	7	758
Corey N. White United States	19	862 2.0×	168 0.8×	104 0.7×	331 2.4×	131 1.0×	35	1.3k
Ian W. Eisenberg United States	10	570 1.3×	56 0.3×	191 1.3×	359 2.6×	252 1.9×	15	1.0k
Vasilisa Skvortsova United Kingdom	8	229 0.5×	54 0.2×	104 0.7×	118 0.9×	56 0.4×	9	474
Christopher E. Zwilling United States	16	427 1.0×	78 0.4×	12 0.1×	170 1.2×	19 0.1×	29	800
Patrick Simen United States	20	1.2k 2.8×	174 0.8×	54 0.4×	181 1.3×	19 0.1×	39	1.4k
Michael J. Frank United States	4	513 1.2×	93 0.4×	59 0.4×	184 1.3×	54 0.4×	5	761
Eugene McSorley United Kingdom	21	983 2.3×	64 0.3×	16 0.1×	296 2.2×	29 0.2×	49	1.3k
Craig Leth‐Steensen Canada	13	517 1.2×	43 0.2×	29 0.2×	164 1.2×	118 0.9×	35	912
Kazuo Shigemasu Japan	15	381 0.9×	26 0.1×	63 0.4×	245 1.8×	183 1.4×	61	886
Grégory Simon France	20	607 1.4×	87 0.4×	24 0.2×	136 1.0×	26 0.2×	41	908

Countries citing papers authored by Jonathan Malmaud

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Malmaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Malmaud

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

All Works

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7 of 7 papers shown

1.

Malmaud, Jonathan, et al.. (2018). TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow. The Journal of Open Source Software. 3(31). 1002–1002. 5 indexed citations

2.

Gershman, Samuel J., Jonathan Malmaud, & Joshua B. Tenenbaum. (2016). Structured representations of utility in combinatorial domains.. Decision. 4(2). 67–86. 10 indexed citations

3.

Malmaud, Jonathan, et al.. (2014). Cooking with Semantics. 30 indexed citations

4.

Hare, Todd A., Jonathan Malmaud, & António O.S.S. Rangel. (2011). Focusing Attention on the Health Aspects of Foods Changes Value Signals in vmPFC and Improves Dietary Choice. Journal of Neuroscience. 31(30). 11077–11087. 391 indexed citations

5.

Milosavljevic, Milica, Jonathan Malmaud, Alexander G. Huth, Christof Koch, & Antonio Rangel. (2010). The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure. Judgment and Decision Making. 5(6). 437–449. 232 indexed citations

6.

Milosavljevic, Milica, Jonathan Malmaud, Alexander G. Huth, Christof Koch, & Adriano Henrique do Nascimento Rangel. (2010). The drift diffusion model can account for value-based choice response times under high and low time pressure. CaltechAUTHORS (California Institute of Technology). 4 indexed citations

7.

Mormann, Milica, Jonathan Malmaud, Alexander G. Huth, Christof Koch, & António O.S.S. Rangel. (2010). The Drift Diffusion Model Can Account for the Accuracy and Reaction Time of Value-Based Choices Under High and Low Time Pressure. SSRN Electronic Journal. 86 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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