Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-18

Kevin A. Schneider

High Impact

Professor

Faculty Researcher

33 h-index 217 pubs 4,004 cited

  • Colorectal Neoplasms
  • Neural Networks, Computer
  • Gamification
  • Foot
  • Machine Learning
  • Humans
  • Image Processing, Computer-Assisted
  • Bicycling
  • Gravitation

Biography and Research Information

OverviewAI-generated summary

Kevin A. Schneider is a Professor at the University of Arkansas for Medical Sciences with a research focus that spans machine learning, software engineering, and medical applications. His work investigates the application of advanced computational techniques to complex problems, including cancer detection and software development processes.

Schneider's recent publications demonstrate a strong engagement with artificial intelligence, particularly in the areas of deep learning for medical image analysis, interpretability of AI models, and natural language processing for software engineering tasks. He has explored the use of pre-trained deep learning models for segmenting histopathology images in colorectal cancer and developed methods for enhancing AI model interpretability. His research also extends to automated user story generation and UML sequence diagram derivation using large language models, addressing efficiency in software development.

With a career marked by significant scholarly output, Schneider has authored 217 publications and accumulated over 4,000 citations, evidenced by an h-index of 33. He is recognized as a highly cited researcher, indicating a substantial impact within his fields of study. His active research agenda, with recent publications extending into 2025, highlights his continued contributions to computational science and its interdisciplinary applications.

Metrics

  • h-index: 33
  • Publications: 217
  • Citations: 4,004

Selected Publications

  • Are Classical Clone Detectors Good Enough for the AI Era? (2025)
    1 citation DOI OpenAlex
  • A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 (2025)
    1 citation DOI OpenAlex
  • Quantum software engineering and potential of quantum computing in software engineering research: a review (2025)
    Automated Software Engineering 10 citations DOI OpenAlex
  • Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study (2025)
    Quantum Machine Intelligence 6 citations DOI OpenAlex
  • Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review (2025)
    arXiv (Cornell University) 2 citations DOI OpenAlex
  • C-SHAP: A Hybrid Method for Fast and Efficient Interpretability (2025)
    Applied Sciences 31 citations DOI OpenAlex
  • Integrating Feedback From Application Reviews Into Software Development (2024)
    1 citation DOI OpenAlex
  • Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction (2024)
    2 citations DOI OpenAlex
  • Take Loads Off Your Developers: Automated User Story Generation using Large Language Model (2024)
    14 citations DOI OpenAlex
  • Review-Pulse: A Dashboard for Managing User Feedback for Android Applications (2024)
    1 citation DOI OpenAlex
  • Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach (2024)
    11 citations DOI OpenAlex
  • Reproducibility Challenges of External Computational Experiments in Scientific Workflow Management Systems (2024)
    Lecture notes in computer science 1 citation DOI OpenAlex
  • A Study of Backporting Code in Open-Source Software for Characterizing Changesets (2024)
    4 citations DOI OpenAlex
  • ReBack: recommending backports in social coding environments (2024)
    Automated Software Engineering 4 citations DOI OpenAlex
  • Active Clones: Source Code Clones at Runtime (2024)
    Technische Universität Berlin – Universitätsbibliothek 5 citations DOI OpenAlex

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Collaboration Network

62 Collaborators 12 Institutions 5 Countries

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