Latest Research in Scientific Computing and Data Management

724 research papers · 0.1 average citations · 2026 median publication year

Top Research Topics in Scientific Computing and Data Management

Highest-Cited Papers

  1. The Authorization Boundary: Why MCP and AI Gateways Are Necessary but Not Sufficient for Regulated Agentic AI
  2. Observability Is Not Enforcement: A Doctrinal Framework for Distinguishing Compliance Instrumentation from Runtime Authorization in AI Governance Architectures (Working Paper v1.1)
  3. Challenges in understanding, using, and teaching design methods: perspectives of design educators (1 citations)
  4. Time That Is Already Gone: Attachment Points in AI Governance — Formation, Deployment, and the Seam Between the 2026 Instruments
  5. AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages (1 citations)
  6. How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm
  7. StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation
  8. Intent-Governed Tool Authorization for AI Agents
  9. AI as Friction for Reflection Support in Ideation
  10. Assurance-Scoped Reliability for Agentic Networks: Capturing the State That Matters
  11. Beyond fidelity: Rethinking realism through human behavior in VR city modeling LOD design
  12. Distributing Security Controls Through Harness Engineering
  13. On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
  14. Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing
  15. The Bottleneck has Moved
  16. Knowledge Operations: A Capability Model for AI Systems
  17. Agent-based simulation of trust development in human–robot teams: an empirically validated decision-support framework
  18. Unpacking Open Source Artificial Intelligence: Toward a Framework for Openness in Foundation Models
  19. Knowledge Operations: A Capability Model for AI Systems
  20. Understanding User Experiences of Computer Use Agents: Design Space and Opportunities for Building Agent UX Prototypes
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2026 JUL Q4

Scientific Computing and Data Management

724 papers
0.1 avg cites

Top Topics (10)

Ethics and Social Impacts of AI138
Artificial Intelligence69
Scientific Computing and Data Management42
Multi-Agent Systems and Negotiation32
Adversarial Robustness in Machine Learning32
Explainable Artificial Intelligence (XAI)25
Software Engineering21
Design Education and Practice19
Cryptography and Security17
Cryptography and Data Security17

Top Publications (20)

1.The Authorization Boundary: Why MCP and AI Gateways Are Necessary but Not Sufficient for Regulated Agentic AI2.Observability Is Not Enforcement: A Doctrinal Framework for Distinguishing Compliance Instrumentation from Runtime Authorization in AI Governance Architectures (Working Paper v1.1)3.Challenges in understanding, using, and teaching design methods: perspectives of design educators1c4.Time That Is Already Gone: Attachment Points in AI Governance — Formation, Deployment, and the Seam Between the 2026 Instruments5.AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages1c6.How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm7.StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation8.Intent-Governed Tool Authorization for AI Agents9.AI as Friction for Reflection Support in Ideation10.Assurance-Scoped Reliability for Agentic Networks: Capturing the State That Matters11.Beyond fidelity: Rethinking realism through human behavior in VR city modeling LOD design12.Distributing Security Controls Through Harness Engineering13.On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy14.Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing15.The Bottleneck has Moved16.Knowledge Operations: A Capability Model for AI Systems17.Agent-based simulation of trust development in human–robot teams: an empirically validated decision-support framework18.Unpacking Open Source Artificial Intelligence: Toward a Framework for Openness in Foundation Models19.Knowledge Operations: A Capability Model for AI Systems20.Understanding User Experiences of Computer Use Agents: Design Space and Opportunities for Building Agent UX Prototypes
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