Maya Shankar

2.3k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Multisensory perception and integration (7 papers)Olfactory and Sensory Function Studies (6 papers)Biochemical Analysis and Sensing Techniques (5 papers)

In The Last Decade

Maya Shankar

15 papers receiving 1.4k citations

Hit Papers

Should Governments Invest More in Nudging?20172026202020232017100200300400

Peers

Maya Shankar
Comparison fields: 5 of 139
  • Experimental and Cognitive Psychology 519
  • Sensory Systems 481
  • Social Psychology 407
  • Food Science 326
  • Nutrition and Dietetics 235
Replace Jacob Lund Orquin with:
Jacob Lund Orquin Denmark
Dipayan Biswas United States
Joseph P. Redden United States
Koert van Ittersum United States
Ryan Elder United States
Pierre Chandon France
Kosuke Motoki Japan
Douglas G. Mook United States
Margarida V. Garrido Portugal
Aparna A. Labroo United States
Maya Shankar relative to Jacob Lund Orquin Denmark Jacob Lund Orquin's profile →
Citations per field
00.5×4.4×
Jacob Lund Orquin · 1×
Citations per year

Countries citing papers authored by Maya Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Maya Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Shankar

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 12
2 37
3
Should Governments Invest More in Nudging?breakdown →
485
4 14
5 1
6 7
7 62
8 3
9 16
10 42
11 371
12 135
13 22
14 19
15 164
16 117

About Maya Shankar

Maya Shankar is a scholar working on General Decision Sciences, Sensory Systems and Experimental and Cognitive Psychology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multisensory perception and integration (7 papers), Olfactory and Sensory Function Studies (6 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Sensory Systems (481 citations), General Decision Sciences (129 citations) and Experimental and Cognitive Psychology (519 citations). Maya Shankar has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Charles Spence, Carmel Levitan, Massimiliano Zampini, William J. Congdon, Richard H. Thaler, Shlomo Benartzi, John Beshears, Cass R. Sunstein, Katherine L. Milkman and John Prescott. Their work appears in journals such as PLoS ONE, Psychological Science and Journal of Cognitive Neuroscience.

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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