Philip G. Crandall Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor

Last publication 2026 Last refreshed 2026-05-16

faculty

Food Science

40 h-index 250 pubs 6,937 cited

Biography and Research Information

OverviewAI-generated summary

Philip G. Crandall, a Professor in Food Science at the Arkansas Agricultural Experiment Station, focuses his research on food safety and consumer behavior. His work includes investigating methods for detecting and preventing contaminants in food products, with a particular emphasis on microbial safety. Crandall has published reviews on topics such as the detection of viable but non-culturable Listeria monocytogenes, a significant foodborne pathogen, and the identification and mitigation of foreign materials in food manufacturing environments.

Beyond microbial concerns, Crandall's research also explores the sensory aspects of food and how cognitive factors influence food perception and consumption. This includes studies on the impact of flavor enhancers on pet food palatability and an examination of how consumers perceive different forms of rice. He has also investigated the potential of broken rice to address food insecurity. Crandall leads an active research group and has a publication record with an h-index of 39, accumulating over 6,800 citations across 252 publications.

His collaborations are primarily with researchers at the University of Arkansas at Fayetteville, including Corliss A. O’Bryan, Wan Shou, Chaitanya Pallerla, and Siavash Mahmoudi, with whom he shares multiple publications. Crandall is recognized as a highly cited researcher.

Metrics

  • h-index: 40
  • Publications: 250
  • Citations: 6,937

Selected Publications

  • Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • Integrating Worker and Food Safety in Poultry Processing Through Human-Robot Collaboration: A Comprehensive Review (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
    1 citation DOI OpenAlex
  • Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry (2025)
  • Variations in attitudes toward working with robots and concerns about robots replacing jobs among Midwesterners (2025)
  • Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
    1 citation DOI OpenAlex
  • UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects (2025)
    3 citations DOI OpenAlex
  • Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
    2 citations DOI OpenAlex
  • Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers (2023)
    10 citations DOI OpenAlex
  • Detection and prevention of foreign material in food: A review (2023)
    35 citations DOI OpenAlex
  • Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts (2023)
    3 citations DOI OpenAlex
  • Becoming the employer of choice: anticipating and preparing for a graying workforce in industry (2022)
    3 citations DOI OpenAlex
  • Uncooked rice consumption: Causes, implications, regulation, and interventions (2022)
    2 citations DOI OpenAlex

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Collaboration Network

55 Collaborators 14 Institutions 2 Countries

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