Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-06
R
Richard S. Segall
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Professor of Information Systems and Business Analytics
Also affiliated: University of Massachusetts Lowell (1988–1989); Georgia College & State University (1995); University of Louisville (1991–1993); University of New Hampshire (1989–1990); University of Massachusetts Amherst (1984)
11 h-index
118 pubs
442 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Richard S. Segall's research interests encompass data mining, quantitative technology forecasting, and computational modeling. He has published extensively, with over 120 publications to his name and an h-index of 11. His work includes a review of current research, techniques, and software for web mining, as well as investigations into trend extrapolation methods for technology forecasting. Segall has also explored the mathematical and computer modeling of neural networks and the data visualization and mining of microarray databases for bioinformatics. His collaborations include over a dozen shared publications with Daniel Berleant and Peng-Hung Tsai from the University of Arkansas at Little Rock, and a smaller number with Michael Howell and Prasanna Rajbhandari.
Metrics
- h-index: 11
- Publications: 118
- Citations: 442
Positions
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Professor of Information Systems and Business Analytics publications 1998–2026Arkansas State University Institution web page
Selected Publications
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Replication package for: Explainable Artificial Intelligence for Detecting Customer Dissatisfaction in Ecommerce Service Reviews: Evidence from Behavioral Signals (2026)
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Artificial Intelligence and Machine Learning Framework for Smart Manufacturing Optimization (2026)
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Integrated Data Analytics, Business Intelligence, and Machine Learning Architecture for SMEs (2026)
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Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads (2026)
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The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence (2026)
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Unified Federated AI Framework for Credit Scoring (2026)
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Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective (2025)
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Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) (2025)
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Big Data Integration in Genomic Analysis (2025)
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Abstract P3086: Future Heart Motion Measurements in Deep Learning-based Predictive Imaging (2025)
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Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use? (2024)
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Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases (2024)
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Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants (2024)
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Image Processing of Big Data for Plant Diseases of Four Different Plant Categories (2024)
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Predicting Future Participation of Women in Space by Analyzing Past Trends (2024)
Collaboration Network
Top Collaborators
Qingyu Zhang
Arkansas State University (US)
14 shared publications
- WEB MINING: A SURVEY OF CURRENT RESEARCH, TECHNIQUES, AND SOFTWARE
- Review of data, text and web mining software
- Data visualization and data mining of continuous numerical and discrete nominal‐valued microarray databases for bioinformatics
- Web mining technologies for customer and marketing surveys
- Commercial Data Mining Software
Showing 5 of 14 shared publications
Daniel Berleant
University of Arkansas at Little Rock
10 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Moore's Law and Space Exploration: New Insights and Next Steps
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 10 shared publications
Hyacinthe Aboudja
Oklahoma City University (US)
9 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Moore's Law and Space Exploration: New Insights and Next Steps
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 9 shared publications
Venkata Jaipal Reddy Batthula
Southwestern College - Kansas (US)
9 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Unified Federated AI Framework for Credit Scoring
Showing 5 of 9 shared publications
Gao Niu
Bryant University (US)
7 shared publications
- Overview of Big Data and Its Visualization
- Big Data and Its Visualization With Fog Computing
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
- Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
- Overview of Big Data and Its Visualization
Showing 5 of 7 shared publications
Shen Lu
University of South Florida (US)
6 shared publications
- Linkage Discovery with Glossaries
- Linkage in medical records and bioinformatics data
- Information Retrieval by Linkage Discovery
- Data Linkage Discovery Applications
- Data Streaming Processing Window Joined With Graphics Processing Units (GPUs)
Showing 5 of 6 shared publications
Peng-Hung Tsai
University of Arkansas at Little Rock
6 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 6 shared publications
Michael Howell
University of Arkansas at Little Rock
4 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Moore's Law and Space Exploration: New Insights and Next Steps
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
Prasanna Rajbhandari
Arkansas State University
4 shared publications
In database
- Image Processing of Big Data for Plant Diseases of Four Different Plant Categories
- Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
- The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence
- Big Data Integration in Genomic Analysis
Jeffrey Cook
Crowleys Ridge College (US)
3 shared publications
- Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
- Overview of Big-Data-Intensive Storage and Its Technologies
- Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Arjun Kaarat
Walmart (United States) (US)
3 shared publications
- Unified Federated AI Framework for Credit Scoring
- Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective
- Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads
Gauri S. Guha
Arkansas State University
2 shared publications
In database
- Data mining of environmental stress tolerances on plants
- The Impact Of Consumer Attitudes About Bioengineering On Purchase Behavior Intentions: Moderating Effects Of Innate Consumer Innovativeness And Anxiety
Sarath A. Nonis
Arkansas State University
2 shared publications
In database
- Data mining of environmental stress tolerances on plants
- The Impact Of Consumer Attitudes About Bioengineering On Purchase Behavior Intentions: Moderating Effects Of Innate Consumer Innovativeness And Anxiety
Ryan M. Pierce
Arkansas State University (US)
2 shared publications
- Advanced Data Mining of Leukemia Cells Micro-Arrays
- Data Mining Supercomputing with SAS JMP® Genomics
Thomas Hahn
University of Arkansas at Little Rock (US)
2 shared publications
- Remote Access Programs to Better Integrate Individuals with Disabilities
- Advanced Feature-Driven Disease Named Entity Recognition Using Conditional Random Fields