Manoj Thomas

1.7k citations
48 papers · 1.1k · h-index 13

Impact in

    • Decision-Making and Behavioral Economics
  • Marketing top 1%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies

Papers in

    • Consumer Market Behavior and Pricing 13
    • Consumer Behavior in Brand Consumption and Identification 12
    • Consumer Retail Behavior Studies 6
    • Decision-Making and Behavioral Economics 16

Manoj Thomas

44 papers receiving 961 citations

Peers

Manoj Thomas
Comparison fields: 5 of 87
  • General Decision Sciences 282
  • Marketing 600
  • Applied Psychology 142
  • Information Systems and Management 80
  • Safety Research 68
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Manoj Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manoj Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manoj Thomas Line = papers co-authored together Manoj Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005259
2 2010206
3 200998
4 200886
5 201965
6 201158
7 201941
8 201435
9 202033
10 201732
11 201620
12 201817
13 202016
14 201910
15 20229
16 20169
17 20228
18 20228
19 20227
20 20136

About Manoj Thomas

Manoj Thomas is a scholar working on Marketing, General Decision Sciences, Cognitive Neuroscience, Social Psychology and Economics and Econometrics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (16 papers), Consumer Market Behavior and Pricing (13 papers), Consumer Behavior in Brand Consumption and Identification (12 papers), Cultural Differences and Values (6 papers), Consumer Retail Behavior Studies (6 papers), Psychology of Moral and Emotional Judgment (5 papers), Behavioral Health and Interventions (5 papers) and Neural and Behavioral Psychology Studies (4 papers). The work is most often cited by research in General Decision Sciences (282 citations), Marketing (600 citations), Applied Psychology (142 citations), Information Systems and Management (80 citations) and Safety Research (68 citations). Manoj Thomas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Vicki G. Morwitz, Kalpesh Kaushik Desai, Vrinda Kadiyali, Claire I. Tsai, Daniel H. Simon, Gülden Ülkümen, Ellie Kyung, Joowon Park, Tatiana Sokolova and Aradhna Krishna. Their work appears in journals such as Journal of Consumer Research, Journal of Marketing Research, Journal of the Association for Consumer Research, Journal of Personality and Social Psychology and Journal of the Association for Information Systems.

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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