Tim Nelson Source Confirmed

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

Researcher

John Brown University

faculty

tim_nelson@brown.edu

12 h-index 42 pubs 420 cited

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Biography and Research Information

OverviewAI-generated summary

Tim Nelson, a faculty member at John Brown University, focuses on software testing, debugging techniques, and software-defined networks. His research also encompasses formal methods in verification, software engineering, network security, and intrusion detection. Nelson's recent publication record extends to 2025, indicating ongoing activity in these fields.

Metrics

  • h-index: 12
  • Publications: 42
  • Citations: 420

Selected Publications

  • Accepted Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2025) DOI
  • Conceptual Mutation Testing for Student Programming Misconceptions (2023) DOI
  • Applying Cognitive Principles to Model-Finding Output: The Positive Value of Negative Information (artifact) (2022) DOI
  • Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Accepted Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Applying Cognitive Principles to Model-Finding Output: The Positive Value of Negative Information (artifact) (2022) DOI
  • Accepted Artifact for Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Making Hay from Wheats: A Classsourcing Method to Identify Misconceptions (2022) DOI
  • Little Tricky Logic: Misconceptions in the Understanding of LTL (2022) DOI
  • Applying cognitive principles to model-finding output: the positive value of negative information (2022) DOI
  • Automated, Targeted Testing of Property-Based Testing Predicates (2021) DOI
  • Automated, Targeted Testing of Property-Based Testing Predicates (2021) DOI

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