David Nicol

About David Nicol

David Nicol, With an exceptional h-index of 59 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of parallel processing, simulation, modeling, security.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computer Science Methods for Effective and Sustainable Simulation Studies (Dagstuhl Seminar 22401)

CyberSAGE: The cyber security argument graph evaluation tool

‘Establishing common input scenarios for security assessment

Message authentication and provenance verification for industrial control systems

Toward Common Weakness Enumerations in Industrial Control Systems

3.11 Parallel Simulation–What Worked and What Not

3.22 Data Farming: Better Decisions Via Inferential Big Data

3.27 Automatically Generating Simulation Experiments based on Provenance

David Nicol Information

University

Position

William and Mary Dartmouth

Citations(all)

22128

Citations(since 2020)

3803

Cited By

20095

hIndex(all)

59

hIndex(since 2020)

23

i10Index(all)

212

i10Index(since 2020)

54

Email

University Profile Page

Google Scholar

David Nicol Skills & Research Interests

parallel processing

simulation

modeling

security

Top articles of David Nicol

Computer Science Methods for Effective and Sustainable Simulation Studies (Dagstuhl Seminar 22401)

Report from Dagstuhl Seminar

2022

CyberSAGE: The cyber security argument graph evaluation tool

Empirical Software Engineering

2023/1

‘Establishing common input scenarios for security assessment

Adv. Digit. Sci. Center, Singapore, Tech. Rep

2023

Message authentication and provenance verification for industrial control systems

ACM Transactions on Cyber-Physical Systems

2023/10/14

Toward Common Weakness Enumerations in Industrial Control Systems

IEEE Security & Privacy

2023/7/25

3.11 Parallel Simulation–What Worked and What Not

Computer Science Methods for Effective and Sustainable Simulation Studies

2023/5

3.22 Data Farming: Better Decisions Via Inferential Big Data

Computer Science Methods for Effective and Sustainable Simulation Studies

2023/5

3.27 Automatically Generating Simulation Experiments based on Provenance

Computer Science Methods for Effective and Sustainable Simulation Studies

2023/5

Cyber-Physical Systems

ACM Transactions on

2023

A security device and method of provenance verification

2022/12/29

Message authentication

2022/11/24

Smart Grid Network Flows Best Practices Checker

2022/10/25

Connectivity Preserving Anonymization of Smart Grid Network Configurations

2022/10/25

Exploiting monotonicity and symmetry for efficient simulation of highly dependable systems

2022/6/27

Temporally synchronized emulation of devices with simulation of networks

2022/6/8

David Nicol
David Nicol

H-Index: 24

LoMoS: Less-online/more-offline signatures for extremely time-critical systems

IEEE Transactions on Smart Grid

2022/3/7

Mechanisms for precise virtual time advancement in network emulation

ACM Transactions on Modeling and Computer Simulation (TOMACS)

2022/3/4

David Nicol
David Nicol

H-Index: 24

Vbump: Securing ethernet-based industrial control system networks with vlan-based traffic aggregation

2021/11/15

The ransomware threat to energy-delivery systems

IEEE Security & Privacy

2021/3/23

See List of Professors in David Nicol University(University of Illinois at Urbana-Champaign)