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Current · Arkansas
Last published
2026
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OpenAlex · ORCID
Refreshed
2026-10-06
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Syed Imran Ali Meerza
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Also affiliated: Khulna University (2010–2011); South Dakota State University (2012)
9 h-index
46 pubs
198 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Syed Imran Ali Meerza's research focuses on understanding consumer behavior related to food, particularly concerning fraud and the impact of information. He has investigated how knowledge of food fraud influences consumer choices through economic experiments and experimental auctions. Meerza also examines consumer attitudes toward agricultural practices, such as antibiotic use in livestock, and their valuation of biofortified crops. His work extends to the application of machine learning for early diabetes prediction and the study of information avoidance in relation to public health issues like antimicrobial resistance. Meerza has published 47 papers, with a total of 198 citations and an h-index of 9. He has collaborated with Afsana Ahamed and Mohammad Sajidul Islam on multiple publications.
Metrics
- h-index: 9
- Publications: 46
- Citations: 198
Selected Publications
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Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches (2026)
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Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice (2025)
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Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory (2025)
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The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers (2025)
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The role of hopelessness in mediating the relationship between income loss and delaying and foregoing healthcare: Evidence from repeated cross-sectional waves of the Household Pulse Survey (2025)
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Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products (2024)
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Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat (2023)
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Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment (2023)
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Understanding the Prediction of Student Retention Behavior during covid-19 Using Effective Data Mining Techniques (2023)
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Prediction of Diabetes at Early Stage using Interpretable Machine Learning (2023)
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The Impact of Information on Valuation in Experimental Auctions: A Comparison of Between and Within Subject Designs (2023)
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Who Thinks COVID-19 is not a Crisis? Need for Cognition and Political Ideology Influence Perceptions of the Severity of COVID-19 (2023)
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Emotional responses to COVID-19 stressors increase avoidance of health information and access to care (2023)
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U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production (2022)
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Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance? (2021)
Collaboration Network
Top Collaborators
Christopher R. Gustafson
University of Nebraska–Lincoln (US)
9 shared publications
- Does prior knowledge of food fraud affect consumer behavior? Evidence from an incentivized economic experiment
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- Consumers’ Response to Food Fraud: Evidence from Experimental Auctions
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
Showing 5 of 9 shared publications
Amalia Yiannaka
University of Nebraska–Lincoln (US)
7 shared publications
- Markets and welfare effects of food fraud
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
- Emotional responses to COVID-19 stressors increase avoidance of health information and access to care
Showing 5 of 7 shared publications
Kathleen R. Brooks
University of Nebraska–Lincoln (US)
6 shared publications
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
- Emotional responses to COVID-19 stressors increase avoidance of health information and access to care
- Who Thinks COVID-19 is not a Crisis? Need for Cognition and Political Ideology Influence Perceptions of the Severity of COVID-19
Showing 5 of 6 shared publications
Khondoker Abdul Mottaleb
Texas Tech University (US)
5 shared publications
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers
- Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice
- Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches
Alwin Dsouza
Agricultural & Applied Economics Association (US)
4 shared publications
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
- Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice
Afsana Ahamed
Arkansas Tech University
3 shared publications
In database
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
Konstantinos Giannakas
University of Nebraska–Lincoln (US)
1 shared publication
- Markets and welfare effects of food fraud
Sabrina Gulab
University of Nebraska–Lincoln (US)
1 shared publication
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
Mohammad Sajidul Islam
Arkansas Tech University
1 shared publication
In database
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
Md Minul Alam
Arkansas Tech University (US)
1 shared publication
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
Rezwanul Parvez
Colorado State University (US)
1 shared publication
- Understanding the Prediction of Student Retention Behavior during covid-19 Using Effective Data Mining Techniques
Md. Shajedur Rahaman
Bangladesh Rice Research Institute (BD)
1 shared publication
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
Md Abdur Rouf Sarkar
Zhongnan University of Economics and Law (CN)
1 shared publication
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
Eliana Zeballos
Economic Research Service (US)
1 shared publication
- The role of hopelessness in mediating the relationship between income loss and delaying and foregoing healthcare: Evidence from repeated cross-sectional waves of the Household Pulse Survey
M R Rahul
Institute of Economic Growth (IN)
1 shared publication
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
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