Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
J
John R. Talburt
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Acxiom (United States) (2004–2005); National University of Singapore (2018); Bloomsburg University (1992); University of Arkansas System (2008–2026); LiveRamp (United States) (2000–2008); Massachusetts Institute of Technology (2020)
15 h-index
217 pubs
866 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
John R. Talburt's research focuses on information quality, particularly within the context of electronic health records and healthcare systems. He has developed rule-based systems for assessing and monitoring data quality in healthcare facilities and has investigated methods for preprocessing healthcare data to address bias. His work also extends to algorithms and artificial intelligence applications in medical informatics, including transfer learning models for image detection. Talburt has a significant publication record, with over 200 publications and a citation count of 859, reflecting his contributions to the field. He has collaborated with several researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak and Mary Qu Yang, on multiple publications.
Metrics
- h-index: 15
- Publications: 217
- Citations: 866
Positions
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Professor 2005–presentUniversity of Arkansas at Little Rock Information Science ORCID
Selected Publications
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A Hybrid Entity Resolution Pipeline Integrating LLM Intelligence, Semantic Clustering, and Household Movement Analysis (2026)
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A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models (2026)
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Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines (2026)
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AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform (2026)
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Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems (2026)
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A System for Name and Address Parsing with Large Language Models (2026)
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Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction (2025)
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Policy-Aware Generative AI for Safe, Auditable Data Access Governance (2025)
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A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease (2025)
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Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression (2025)
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Entity Resolution Using Transformers for Synthetic Datasets (2025)
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Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
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Entity Resolution with Household Movement Discovery Using Google Generative AI (2025)
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Using Linkage Context for Automated Correction in Unsupervised Entity Resolution (2025)
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Improving Quality of Entity Resolution Using a Cascade Approach (2025)
Collaboration Network
Top Collaborators
Yinle Zhou
University of Arkansas at Little Rock (US)
9 shared publications
- A Practical Guide to Entity Resolution with OYSTER
- Information Quality and Governance for Business Intelligence
- Modeling and design of entity identity information in entity resolution systems
- Staging a realistic entity resolution challenge for students
- A Graduate-Level Course on Entity Resolution and Information Quality
Showing 5 of 9 shared publications
Ningning Wu
University of Arkansas at Little Rock (US)
7 shared publications
- A Rule-Based Data Quality Assessment System for Electronic Health Record Data
- A method for entity identification in open source documents with partially redacted attributes
- A Case Study in Partial Parsing Unstructured Text
- Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records
- Methods to Measure Importance of Data Attributes to Consumers of Information Products
Showing 5 of 7 shared publications
Fumiko Kobayashi
University of Arkansas at Little Rock
6 shared publications
In database
- Decoupling Identity Resolution from the Maintenance of Identity Information
- Entity Resolution Using Logistic Regression as an extension to the Rule-Based Oyster System
- A Graduate-Level Course on Entity Resolution and Information Quality
- Context Extraction in Unsupervised Entity Resolution
- Machine Learning Comparison in Entity Resolution
Showing 5 of 6 shared publications
Daniel Pullen
University of Arkansas at Little Rock
6 shared publications
In database
- An Iterative, Self-Assessing Entity Resolution System: First Steps toward a Data Washing Machine
- Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records
- Evaluating and Improving Data Fusion Accuracy
- A Method for Match Key Blocking in Probabilistic Matching
- A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes
Showing 5 of 6 shared publications
Mary Qu Yang
University of Arkansas at Little Rock
6 shared publications
In database
- Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia
- cnnImpute: missing value recovery for single cell RNA sequencing data
- Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility
- Missing Value Recovery for Single Cell RNA Sequencing Data
- A Deep Learning-Based Model for Gene Regulatory Network Inference
Showing 5 of 6 shared publications
Mariofanna Milanova
University of Arkansas at Little Rock
5 shared publications
In database
- Objective video quality assessment for tracking moving objects from video sequences
- Perception-based image/video quality metric using CIELAB color space
- Explaining Multimodal Image Retrieval Using A Vision and Language Task Model
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
David Roach
University of Arkansas at Fayetteville (US)
5 shared publications
- An interactive source commenter for Prolog programs
- An interactive source commenter for Prolog programs
- Approximate string matching and the automation of word games
- RAP: relocation allowance planner, a rule-based expert system with self-defining documentation features
- RAP: relocation allowance planner, a rule-based expert system with self-defining documentation features
Kimberly Hess
Colorado Judicial Branch (US)
5 shared publications
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
- Applying Name Knowledge to Information Qualtiy Assessments
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
- Applying Name Knowledge to Information Qualtiy Assessments
Adeeba Tarannum
University of Arkansas at Little Rock
5 shared publications
In database
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach
- A System for Name and Address Parsing with Large Language Models
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
Muzakkiruddin Ahmed Mohammed
University of Arkansas at Little Rock
5 shared publications
In database
- Entity Resolution with Household Movement Discovery Using Google Generative AI
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
Richard Wang
Massachusetts Institute of Technology (US)
4 shared publications
- An Iterative, Self-Assessing Entity Resolution System: First Steps toward a Data Washing Machine
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
- An Algebraic Approach to Data Quality Metrics for Entity Resolution over Large Datasets
Xinming Li
University of Arkansas at Little Rock (US)
4 shared publications
- Chief data officer (CDO) role and responsibility analysis
- Scoring Matrix for Unstandardized Data in Entity Resolution
- When Entity Resolution Meets Deep Learning, Is Similarity Measure Necessary?
- The OYSTER Open Source Project for Introducing Entity Resolution and MDM into Information Systems Curricula.
Serhan Dağtaş
University of Arkansas at Little Rock
4 shared publications
In database
- A Rule-Based Data Quality Assessment System for Electronic Health Record Data
- The influence of chief data officer presence on firm performance: does firm size matter?
- Rule-Based Data Quality Assessment and Monitoring System in Healthcare Facilities
- A Zero Trust Model Based Framework For Data Quality Assessment
Nicholas Kofi Akortia Hagan
University of Arkansas at Little Rock
4 shared publications
In database
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- ModER: Graph-based Unsupervised Entity Resolution using Composite Modularity Optimization and Locality Sensitive Hashing
- A scalable MapReduce-based design of an unsupervised entity resolution system
- SparkDWM: a scalable design of a Data Washing Machine using Apache Spark
Khizer Syed
University of Arkansas at Little Rock
4 shared publications
In database
- Entity Resolution with Household Movement Discovery Using Google Generative AI
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach