Susan M. Sanchez | Academic Influence

Susan M. Sanchez's AcademicInfluence.com Rankings

Susan M. Sanchez

Mathematics

#7994

World Rank

#10855

Historical Rank

Applied Mathematics

#473

World Rank

#505

Historical Rank

Statistics

#1188

World Rank

#1295

Historical Rank

mathematics Degrees

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Mathematics

Susan M. Sanchez's Degrees

PhD Statistics Stanford University
Masters Applied Statistics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Susan M. Sanchez Influential?

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According to Wikipedia, Susan Marie Malila Sanchez is an American applied statistician and an expert in military applications of operations research, in agent-based simulation, and in data farming of simulation results. She is a professor of operations research at the Naval Postgraduate School.

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Susan M. Sanchez's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments (2005) (547)
Exploring the world of agent-based simulations: simple models, complex analyses (2002) (190)
Work smarter, not harder: Guidelines for designing simulation experiments (2005) (160)
Institute for Operations Research and the Management Sciences (2003) (128)
Military applications of agent-based simulations (2004) (108)
Robust design: seeking the best of all possible worlds (2000) (107)
Very large fractional factorial and central composite designs (2005) (95)
Better than a petaflop: The power of efficient experimental design (2008) (67)
Work smarter, not harder: A tutorial on designing and conducting simulation experiments (2018) (67)
Comparison of Gaussian process modeling software (2016) (59)
Changing the paradigm: Simulation, now a method of first resort (2015) (58)
Designing simulation experiments: Taguchi methods and response surface metamodels (1991) (57)
Designs for Large‐Scale Simulation Experiments, with Applications to Defense and Homeland Security (2012) (57)
A two-phase screening procedure for simulation experiments (2009) (55)
A robust design methodology for Kanban system design (1997) (48)
The operating impact of parts commonality (1996) (46)
Simulation experiments: Better data, not just big data (2014) (44)
Emerging issues in healthcare simulation (2000) (44)
A Comprehensive Model for Managing Credit Risk on Home Mortgage Portfolios (1996) (43)
Improved efficient, nearly orthogonal, nearly balanced mixed designs (2011) (42)
Defense and homeland security applications of multi-agent simulations (2007) (41)
Efficient, nearly orthogonal-and-balanced, mixed designs: an effective way to conduct trade-off analyses via simulation (2013) (41)
Generating and improving orthogonal designs by using mixed integer programming (2011) (40)
Effective Engineering Design through Simulation (1996) (40)
Better Designs for High-Dimensional Explorations of Distillations (2002) (35)
A robust design tutorial (1994) (33)
So many factors, so little time...Simulation experiments in the frequency domain (2006) (30)
Competitive market structures: a subset selection analysis (1994) (27)
Work smarter, not harder: A tutorial on designing and conducting simulation experiments (2012) (26)
ABC's of output analysis (1999) (25)
Efficient experimental design tools for exploring large simulation models (2009) (25)
A Design of Experiments Approach to Readiness Risk Analysis (2006) (24)
Better Big Data via Data Farming Experiments (2017) (20)
Assessment of business potential at retail sites: empirical findings from a US supermarket chain (2003) (19)
Design of experiments: robust design: seeking the best of all possible worlds (2000) (19)
Simulation experiments: better insights by design (2014) (18)
The future of computerized decision making (2014) (18)
A User's Guide to the Brave New World of Designing Simulation Experiments. State-of-the-Art Review (2005) (18)
Design of frequency-domain experiments for discrete-valued factors (1991) (17)
Output modeling: abc's of output analysis (1999) (17)
WORK SMARTER, NOT HARDER: A TUTORIAL ON DESIGNING AND CONDUCTING SIMULATION EXPERIMENTS (2018) (16)
Simulation screening experiments using Lasso-optimal supersaturated design and analysis: A maritime operations application (2013) (15)
The exponential expansion of simulation in research (2012) (15)
Variance reallocation in Taguchi's robust design framework (1992) (15)
Sliced Full Factorial-Based Latin Hypercube Designs as a Framework for a Batch Sequential Design Algorithm (2017) (14)
DATA FARMING: BETTER DATA, NOT JUST BIG DATA (2018) (13)
Assessing obstacle location accuracy in the REMUS unmanned underwater vehicle (2004) (8)
A restricted multinomial hybrid selection procedure (2014) (8)
The "Best" Algorithm for solving Stochastic Mixed Integer Programs (2006) (8)
A Two-Phase Screening Procedure for Simulation Experiments / Proceedings of the 2005 Winter Simulation Conference (2005) (7)
Improving U.S. Navy Campaign Analyses with Big Data (2017) (7)
Simulation experiments in the frequency domain (2005) (6)
Smart experimental designs provide military decision-makers with new insights from agent-based simulations (2003) (6)
A modified least-failures sampling procedure for bernoulli subset selection (1987) (6)
Experimental designs for system assessment and improvement when noise factors are correlated (1994) (6)
Emerging Issues in Healthcare Simulation / Proceedings of the 2000 Winter Simulation Conference (2000) (5)
Tradespace analysis for multiple performance measures (2016) (5)
Orthogonal second‐order space‐filling designs with insights from simulation experiments to support test planning (2018) (5)
Data Farming (2020) (5)
Observational Studies of Rare Events: A Subset Selection Approach (1992) (5)
A scalable discrete event stochastic agent-based model of infectious disease propagation (2015) (5)
Efficient data allocation for frequency domain experiments (2000) (4)
Generating hypotheses on fighting the global war on terrorism (2003) (4)
GRADIENT BASED CRITERIA FOR SEQUENTIAL DESIGN (2018) (4)
Better than a Petaflop: The Power for Efficient Experimental Design / Proceedings of the 2009 Winter Simulation Conference (2009) (4)
Using Agents to Model Logistics (2003) (4)
Frequency-based designs for terminating simulations: a peace-enforcement example (2003) (4)
It Is A Far, Far Better Mean I Find... (1997) (4)
ENHANCING THE ANALYTIC UTILITY OF THE SYNTHETIC THEATER OPERATIONS RESEARCH MODEL (STORM) (2014) (4)
Exploring Edge Organization Models for Network-Centric Operations (2006) (4)
Data Farming in Support of Military Decision Makers (2009) (3)
Small-sample performance of a modified least-failures sampling procedure for bernoulli subset selection (1987) (3)
Frequency-based designs for terminating simulation experiments: A peace-enforcement example (2003) (3)
Incorporating information networks into military simulations (2008) (3)
Data Farming: Reaping Insights from Simulation Experiments (2018) (3)
Sensitivity and scenario analysis for simulation metamodels (1996) (3)
Work Smarter, Not Harder: A Tutorial on Designing and Conducting Simulation Experiments (2020) (3)
ABC's Of Output Analysis / Proceedings of the 2001 Winter Simulation Conference (2001) (2)
Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages (2017) (2)
Cat scratch disease. (2012) (1)
Efficient Experimental Design Tools for Exploring Command and Control Organizational Structures (2008) (1)
Team 6: Application of Design of Experiments & Data Farming Techniques for Planning Tests in a Joint Mission Environment (2009) (1)
A Robust Design Approach to Cost Estimation: Solar Energy for Marine Corps Expeditionary Operations (Briefing Charts) (2014) (1)
A data farmer's almanac (2016) (1)
Team 8: The Perfect Match for Virtual Combat ID Experiments (2006) (1)
Unbiased estimation following selection for bernoulli populations (1989) (1)
Using Simulation and Artificial Intelligence to Innovate: Are We Getting Even Smarter? (2021) (1)
Team 4: NATO MSG-088 Data farming In support of NATO case study on force protection, Scythe: Proceedings and Bulletin of the International Data Farming Community Issue 11: 18-21 (2011) (1)
Gradient‐based criteria for sequential experiment design (2021) (1)
Assessing the impact of the bathtub curve failure rate on fleet performance using designed simulation experiments (2017) (1)
Statistics Generating and improving orthogonal designs by using mixed integer programming (2012) (0)
ASSESSING THE OPERATING IMPACT OF PARTS COMMONALITY: A SIMULATION STUDY (2003) (0)
Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles (2021) (0)
IMPLEMENTING JIT IN UNCERTAIN MANUFACTURING ENVIRONMENTS (2003) (0)
2006 CCRTS: The State of the Art and State of the Practice Title: Exploring Edge Organization Models for Network-Centric Operations Topics: • C2 Modeling and Simulation • C2 Concepts and Organizations • Social Domain Issues Authors: (2006) (0)
Robustness Revisited: Simulation Optimization Viewed Through A Different Lens (2020) (0)
Session details: Advanced tutorials: Visual analytics (2018) (0)
Team 6: Data Farming in Netcentric Systems Test Planning (2009) (0)
Stochastic Network Interdiction / October 2001 (2001) (0)
Team 5: Sequential Screening for Organizational Performance (2009) (0)
Session details: Advanced tutorials: Aggregation methods for complex models (2018) (0)
Team 6: Joint Capability Metamodel-Test-Metamodel Integration with Data Farming (2007) (0)
Session details: Advanced tutorials: Parametric verification by machine learning (2018) (0)
Exploring Edge Organizations for Network Centric Operations, Presentation (2006) (0)
Data farming: the meaning and methods behind the metaphor (2020) (0)
Investigating an Active Shooter Defeat System With Simulation And Data Farming (2021) (0)
Session details: Advanced tutorials: Flexible and reproducible simulation experiments (2018) (0)
Stochastic Network Interdiction / June 2001 (2001) (0)
Work Smarter, Not Harder: A Tutorial On Designing and ConductingSimulation Experiments (2021) (0)
Session details: Advanced tutorials: Collective adaptive system modeling (2018) (0)
Session details: Advanced tutorials: Stochastic gradient descent (2018) (0)
Invoking “ARTeMIS” — The multi-objective hunt for diverse and robust alternative solutions (2017) (0)
13th ICCRTS (2008) (0)
Data Farming: The meanings and methods behind the metaphor (0)
ABC's of output analysis (2001) (0)
Monitoring a Control Chart (2002) (0)
A Two Stage Algorithm for Guiding Data Collection Towards Minimising Input Uncertainty (2021) (0)
Session details: Advanced tutorials: Selection and ranking (2018) (0)
Team 6: Enhanced Design of Experiment for Testing in a Joint Environment (2008) (0)
Team 3: Analyzing Selected Questions in a Refugee Camp Scenario Using PAX3D (2009) (0)
SO MANY FACTORS , SO LITTLE TIME . . . A FREQUENCY DOMAIN APPROACH FOR FACTOR SCREENING (2004) (0)
Session details: Advanced tutorials: Inferential big data (2018) (0)
Team 3: Data Farming the Agent-Based ELICIT (abELICIT) Model (2010) (0)
Session details: Advanced tutorials: Global health simulation (2018) (0)
A Robust Design Approach to Cost Estimation (2014) (0)
A ROBUST DESIGN METHODOLOGY FOR KANBAN (2003) (0)
AN EMPIRICAL EVALUATION OF A FACTOR EFFECTS SCREENING PROCEDURE FOR EXPLORING COMPLEX SIMULATION MODELS (2012) (0)
Input Uncertainty Quantification for Quantiles (2022) (0)
Efficient Data Allocation for Frequency Domain Experiments Full Citation (0)

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Other Resources About Susan M. Sanchez

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What Schools Are Affiliated With Susan M. Sanchez?

Susan M. Sanchez is affiliated with the following schools: