Dipayan Biswas

3.2k total citations
61 papers, 2.3k citations indexed

About

Dipayan Biswas is a scholar working on Marketing, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Dipayan Biswas has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Marketing, 19 papers in Experimental and Cognitive Psychology and 12 papers in Social Psychology. Recurrent topics in Dipayan Biswas's work include Consumer Behavior in Brand Consumption and Identification (17 papers), Multisensory perception and integration (15 papers) and Consumer Retail Behavior Studies (13 papers). Dipayan Biswas is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (17 papers), Multisensory perception and integration (15 papers) and Consumer Retail Behavior Studies (13 papers). Dipayan Biswas collaborates with scholars based in United States, India and United Kingdom. Dipayan Biswas's co-authors include Abhijit Biswas, Courtney Szocs, Neel Das, Marisabel Romero, Donald R. Lehmann, Annika Abell, Lauren I. Labrecque, Brian Wansink, Stacy Landreth Grau and Ereni Markos and has published in prestigious journals such as Journal of Marketing, Scientific Reports and Journal of Marketing Research.

In The Last Decade

Dipayan Biswas

55 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipayan Biswas United States 23 1.2k 703 472 411 268 61 2.3k
Maureen Morrin United States 28 1.8k 1.5× 663 0.9× 857 1.8× 600 1.5× 524 2.0× 68 2.9k
JoAndrea Hoegg Canada 19 903 0.7× 543 0.8× 464 1.0× 277 0.7× 207 0.8× 30 1.5k
Tobias Otterbring Norway 31 1.3k 1.1× 631 0.9× 674 1.4× 360 0.9× 192 0.7× 122 2.9k
Vanessa M. Patrick United States 25 1.3k 1.1× 581 0.8× 745 1.6× 410 1.0× 264 1.0× 76 2.3k
Leonard Lee United States 18 984 0.8× 530 0.8× 313 0.7× 203 0.5× 258 1.0× 46 1.9k
Peter Kenning Germany 32 1.2k 1.0× 674 1.0× 432 0.9× 385 0.9× 471 1.8× 110 2.9k
Robert Mai Germany 27 1.0k 0.9× 505 0.7× 378 0.8× 158 0.4× 177 0.7× 77 2.1k
Koert van Ittersum United States 23 1.0k 0.8× 347 0.5× 343 0.7× 274 0.7× 174 0.6× 92 2.8k
Charles S. Areni Australia 22 1.1k 0.9× 559 0.8× 453 1.0× 357 0.9× 471 1.8× 64 2.0k
Paula Fitzgerald Bone United States 19 1.1k 0.9× 809 1.2× 337 0.7× 205 0.5× 448 1.7× 28 1.9k

Countries citing papers authored by Dipayan Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Dipayan Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipayan Biswas

This figure shows the co-authorship network connecting the top 25 collaborators of Dipayan Biswas. A scholar is included among the top collaborators of Dipayan Biswas 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 Dipayan Biswas. Dipayan Biswas 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
1.
Biswas, Dipayan, Shishir K. Shah, & Jaspal Subhlok. (2025). Visual Content Detection in Educational Videos With Transfer Learning and Dataset Enrichment. 537–540.
2.
3.
Ghosh, Sayan, et al.. (2025). Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. Frontiers in Neuroinformatics. 19. 1513374–1513374.
4.
Biswas, Dipayan, et al.. (2024). Effects of sampling healthy versus unhealthy foods on subsequent food purchases. Journal of the Academy of Marketing Science. 53(1). 197–212. 4 indexed citations
5.
Szocs, Courtney, et al.. (2024). Contextual effects of color on food choices: Red ambient color induces indulgence. Journal of Consumer Psychology. 35(4). 602–616.
6.
Szocs, Courtney, et al.. (2023). The store of the future: Engaging customers through sensory elements, personalized atmospherics, and interpersonal interaction. Journal of Retailing. 99(4). 605–620. 14 indexed citations
7.
Kamleitner, Bernadette, et al.. (2023). Sniffing the distance: Scents can make objects appear closer. Journal of Environmental Psychology. 91. 102104–102104.
8.
Biswas, Dipayan, Shishir K. Shah, & Jaspal Subhlok. (2023). Identification of Visual Objects in Lecture Videos with Color and Keypoints Analysis. 315–320. 2 indexed citations
9.
Bandyopadhyay, Anirban, Sayan Ghosh, Dipayan Biswas, V. Srinivasa Chakravarthy, & Raju S. Bapi. (2023). A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling. Scientific Reports. 13(1). 16935–16935. 4 indexed citations
10.
Wood, James B., et al.. (2022). Probing ultrafast excited-state dynamics using EUV-IR six-wave-mixing emission spectroscopy. Optics Express. 30(26). 46520–46520. 1 indexed citations
11.
Biswas, Dipayan, et al.. (2022). Modeling the tonotopic map using a two-dimensional array of neural oscillators. Frontiers in Computational Neuroscience. 16. 909058–909058. 1 indexed citations
12.
Biswas, Dipayan, et al.. (2021). A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals. Frontiers in Computational Neuroscience. 15. 551111–551111. 8 indexed citations
13.
Lichters, Marcel, et al.. (2019). The Short and Long-Term Effects of Ambient Scent in Olfactory-Rich Servicescapes: a Longitudinal Perspective. ACR North American Advances. 1 indexed citations
14.
Lefebvre, Sarah & Dipayan Biswas. (2019). The influence of ambient scent temperature on food consumption behavior.. Journal of Experimental Psychology Applied. 25(4). 753–764. 17 indexed citations
15.
Biswas, Dipayan & Md. Foisal Hossain. (2017). Epileptic seizure detection based on selected features of different complexities using ANN. 2. 1–5. 1 indexed citations
16.
Biswas, Dipayan, et al.. (2016). Ambient Music and Food Choices: Can Music Volume Level Nudge Healthier Choices?. ACR North American Advances. 1 indexed citations
17.
Romero, Marisabel & Dipayan Biswas. (2014). A Left-Side Bias? the Influence of Nutrition Label Placement on Product Evaluation. ACR North American Advances. 2 indexed citations
18.
Biswas, Dipayan, Courtney Szocs, Aradhna Krishna, & Donald R. Lehmann. (2014). Something to Chew On: The Effects of Oral Haptics on Mastication, Orosensory Perception, and Calorie Estimation. SSRN Electronic Journal.
19.
Biswas, Dipayan, et al.. (2008). Making Probability Judgments of Future Product Failures: Packing Versus Unpacking the Problem. Scholarly Commons (University of the Pacific). 1 indexed citations
20.
Biswas, Abhijit, Sujay Dutta, & Dipayan Biswas. (2006). Price Matching Guarantees As Signals of Lowest Price: the Role of Perceived Risk and Estimate of Lowest Market Price. ACR North American Advances. 3 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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