2026 J. Michael Harrison: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Business and Management	48	1077	1003	472	431	82	20934
Mathematics	51	992	846	459	366	110	20597

Research.com Recognitions

2008 - Member of the National Academy of Engineering For fundamental contributions to stochastic networks and financial engineering.
2005 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
2004 - INFORMS John von Neumann Theory Prize

Overview

J. Michael Harrison is affiliated with Stanford University in the United States. Their research spans multiple fields including Computer Science, Engineering, and Business, Management and Accounting. Their work frequently addresses subfields such as Control and Systems Engineering, Management Information Systems, Artificial Intelligence, Computer Networks and Communications, and Computational Theory and Mathematics.

The scientist's research covers a range of topics including:

Advanced Queuing Theory Analysis
Fault Detection and Control Systems
Transportation and Mobility Innovations
Interconnection Networks and Systems
Markov Chains and Monte Carlo Methods
Gaussian Processes and Bayesian Inference
Advanced Control Systems Optimization

Among recent publications, the following papers are notable:

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework, 2022, IEEE Transactions on Robotics
Deep Reinforcement Learning amidst Lifelong Non-Stationarity, 2020, arXiv (Cornell University)
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty, 2022, 2022 American Control Conference (ACC)
Bayesian Embeddings for Few-Shot Open World Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
Meta-learning Priors for Efficient Online Bayesian Regression, 2020, Springer proceedings in advanced robotics

They have collaborated frequently with peers including J. G. Dai, Marco Pavone, Apoorva Sharma, Daniele Gammelli, and Filipe Rodrigues.

J. Michael Harrison has published one book titled Processing Networks in 2020 through Cambridge University Press.

The scientist has contributed to a variety of publication venues, among which are:

arXiv (Cornell University)
IEEE Transactions on Robotics
2022 American Control Conference (ACC)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Awards conferred to them include:

Member of the National Academy of Engineering, 2008, for fundamental contributions to stochastic networks and financial engineering
Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), 2005
INFORMS John von Neumann Theory Prize, 2004

Best Publications

Martingales and arbitrage in multiperiod securities markets

J.Michael Harrison;David M Kreps

5634
Citations
Martingales and Stochastic Integrals in the Theory of Continous Trading

J. Michael Harrison;Stanley R. Pliska

4123
Citations
Martingales and stochastic integrals in the theory of continuous trading

J.Michael Harrison;Stanley R. Pliska

3981
Citations
Brownian motion and stochastic flow systems

J. Michael Harrison

2181
Citations
Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations

J. Michael Harrison;David M. Kreps

2087
Citations
A stochastic calculus model of continuous trading: Complete markets

J.Michael Harrison;Stanley R. Pliska

731
Citations
Reflected Brownian Motion on an Orthant

J. Michael Harrison;Martin I. Reiman

566
Citations
Brownian Models of Queueing Networks with Heterogeneous Customer Populations

J. Michael Harrison

460
Citations
On Skew Brownian Motion

Unknown

379
Citations
Brownian Models of Open Queueing Networks with Homogeneous Customer Populations

Unknown

354
Citations
Impulse Control of Brownian Motion

J. Michael Harrison;Thomas M. Sellke;Allison James Taylor

346
Citations
Instantaneous Control of Brownian Motion

J. Michael Harrison;Michael I. Taksar

331
Citations
Dynamic Control of a Queue with Adjustable Service Rate

Jennifer M. George;J. Michael Harrison

304
Citations
Heavy traffic resource pooling in parallel-server systems

J. Michael Harrison;Marcel J. López

291
Citations
Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution

J. Michael Harrison;N. Bora Keskin;Assaf Zeevi

290
Citations
Brownian models of open processing networks: canonical representation of workload

J. Michael Harrison

277
Citations
Multidimensional Reflected Brownian Motions Having Exponential Stationary Distributions

Unknown

253
Citations
Scheduling Networks of Queues: Heavy Traffic Analysis of a Two-Station Closed Network

J. Michael Harrison;Lawrence M. Wein

246
Citations
Heavy traffic analysis of a system with parallel servers: asymptotic optimality of discrete-review policies

J. Michael Harrison

246
Citations
A Method for Staffing Large Call Centers Based on Stochastic Fluid Models

J. Michael Harrison;Assaf Zeevi

244
Citations
Assembly-like queues

J. Michael Harrison

224
Citations
Brownian models of multiclass queueing networks: current status and open problems

J. Michael Harrison;Viên Nguyen

223
Citations
Dynamic Scheduling of a Multiclass Queue: Discount Optimality

J. Michael Harrison

220
Citations
Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method

Achal Bassamboo;J. Michael Harrison;Assaf Zeevi

208
Citations
Ruin problems with compounding assets

J.Michael Harrison

197
Citations

Frequent Co-Authors

Assaf Zeevi Columbia University

Martin I. Reiman Columbia University

David M. Kreps Stanford University

Sidney I. Resnick Cornell University

Lawrence M. Wein Stanford University

Devavrat Shah MIT

William F. Sharpe Stanford University

External Links

Wikipedia of J. Michael Harrison Personal website of J. Michael Harrison Google Scholar page

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