Jonathan Malmaud

19 total papers · 1.2k total citations
7 papers, 756 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 756 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), Decision-Making and Behavioral Economics (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), Decision-Making and Behavioral Economics (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, Christof Koch, Alexander G. Huth, Milica Milosavljevic, Antonio Rangel, Milica Mormann, Kevin Murphy, Nancy Chang 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 739 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jonathan Malmaud	431	220	143	137	130	7	756
Kathy B. Avsar	258 0.6×	167 0.8×	188 1.3×	109 0.8×	169 1.3×	8	705
C. Renee Renda	183 0.4×	84 0.4×	105 0.7×	140 1.0×	164 1.3×	13	795
C. Simion	463 1.1×	152 0.7×	54 0.4×	228 1.7×	35 0.3×	7	758
Benjamin P. Kowal	264 0.6×	245 1.1×	231 1.6×	178 1.3×	125 1.0×	19	720
David S. Leland	510 1.2×	130 0.6×	76 0.5×	207 1.5×	116 0.9×	13	781
Paul F. Hill	349 0.8×	161 0.7×	170 1.2×	230 1.7×	147 1.1×	24	770
Helen Steingroever	386 0.9×	165 0.8×	103 0.7×	231 1.7×	95 0.7×	19	884
Anthony J. Porcelli	289 0.7×	149 0.7×	177 1.2×	262 1.9×	128 1.0×	15	893
Katrin Schröder	425 1.0×	105 0.5×	33 0.2×	97 0.7×	65 0.5×	4	769
Eiko Shimojo	432 1.0×	132 0.6×	53 0.4×	230 1.7×	36 0.3×	12	703

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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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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