Abhishek Pathak

581 citations
38 papers · 402 indexed · h-index 13
Topics
Multisensory perception and integration (21 papers)Consumer Behavior in Brand Consumption and Identification (15 papers)Color perception and design (10 papers)

In The Last Decade

Abhishek Pathak

35 papers receiving 397 citations

Peers

Abhishek Pathak
Comparison fields: 5 of 67
  • Experimental and Cognitive Psychology 205
  • Marketing 145
  • Social Psychology 121
  • Food Science 73
  • Sensory Systems 66
Replace Tomohiro Masuda with:
Tomohiro Masuda Japan
Alejandro Maiche Uruguay
Klemens Knoeferle Norway
Jakub Berčí­k Slovakia
Alejandro Salgado‐Montejo United Kingdom
Toshimasa Yamanaka Japan
Jianping Huang China
Dwight R. Riskey United States
Linda Miesler Switzerland
Aner Tal United States
Abhishek Pathak relative to Tomohiro Masuda Japan Tomohiro Masuda's profile →
Citations per field
00.5×3.9×
Tomohiro Masuda · 1×
Citations per year

Countries citing papers authored by Abhishek Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Pathak

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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7 8
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9 17
10 19
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14 21
15 9
16
A Primal Dual Formulation For Deep Learning With Constraints
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17 6
18 21
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20 16

About Abhishek Pathak

Abhishek Pathak is a scholar working on Experimental and Cognitive Psychology, Marketing and Sensory Systems, having authored 38 papers that have together received 402 indexed citations. Recurring topics across this work include Multisensory perception and integration (21 papers), Consumer Behavior in Brand Consumption and Identification (15 papers) and Color perception and design (10 papers). The work is most often cited by research in Marketing (145 citations), Experimental and Cognitive Psychology (205 citations) and Sensory Systems (66 citations). Abhishek Pathak has collaborated with scholars based in United Kingdom, Singapore and Japan. Frequent co-authors include Gemma A. Calvert, Kosuke Motoki, Carlos Velasco, Charles Spence, Jaewoo Park, Parag Singla, Olivia Petit, Eamon P. Fulcher, Elison Ai Ching Lim and Francisco Barbosa Escobar. Their work appears in journals such as Journal of Business Research, European Journal of Marketing and Psychology and Marketing.

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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