World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
4101
World Ranking
3336
National Ranking
1309

Overview

John E. Mitchell is affiliated with Rensselaer Polytechnic Institute in the United States. Their research spans across the fields of Engineering and Computer Science, with a particular focus on several subfields including Sociology and Political Science, Computational Theory and Mathematics, Automotive Engineering, Building and Construction, and Industrial and Manufacturing Engineering.

Mitchell's recent publications reflect engagement with diverse topics related to transportation, logistics, network analysis, and supply chain resilience. Notable papers include:

  • Optimizing driver menus under stochastic selection behavior for ridesharing and crowdsourced delivery (2021), published in Transportation Research Part E Logistics and Transportation Review
  • Towards the development of quantitative resilience indices for Multi-Echelon Assembly Supply Chains (2020), published in Omega
  • Location of urban micro-consolidation centers to reduce the social cost of last-mile deliveries of cargo: A heuristic approach (2021), published in Networks
  • Interdicting restructuring networks with applications in illicit trafficking (2022), published in European Journal of Operational Research
  • Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks (2022), published in Annals of Operations Research

Research topics covered by their work frequently explore:

  • Transportation and Mobility Innovations
  • Urban and Freight Transport Logistics
  • Sparse and Compressive Sensing Techniques
  • Sharing Economy and Platforms
  • Supply Chain Resilience and Risk Management
  • Infrastructure Resilience and Vulnerability Analysis
  • Crime, Illicit Activities, and Governance

Frequent coauthors collaborating with Mitchell include Thomas C. Sharkey, Daniel Kosmas, April Sagan, Hannah Horner, and Jennifer A. Pazour.

Their contributions have been published primarily in venues such as Networks, Transportation Research Part E Logistics and Transportation Review, Omega, Annals of Operations Research, and European Journal of Operational Research.

Best Publications

  • Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach

    E.E. Lee;J.E. Mitchell;W.A. Wallace

  • An improved branch and bound algorithm for mixed integer nonlinear programs

    Brian Borchers;John E. Mitchell

  • Restoring infrastructure systems: An integrated network design and scheduling (INDS) problem

    Sarah G. Nurre;Burak Cavdaroglu;John E. Mitchell;Thomas C. Sharkey

  • Integrating restoration and scheduling decisions for disrupted interdependent infrastructure systems

    Burak Cavdaroglu;Erik Hammel;John E. Mitchell;Thomas C. Sharkey

  • On the Global Solution of Linear Programs with Linear Complementarity Constraints

    Jing Hu;John E. Mitchell;Jong-Shi Pang;Kristin P. Bennett

  • Interdependent network restoration: On the value of information-sharing

    Thomas C. Sharkey;Burak Çavdaroğlu;Huy Nguyen;Jonathan Holman

  • p-Hub approach for the optimal park-and-ride facility location problem

    Felipe Aros-Vera;Vladimir Marianov;John E. Mitchell

  • An interdependent layered network model for a resilient supply chain

    Jing Gong;John E. Mitchell;Ananth Krishnamurthy;William A. Wallace

  • Analyzing and exploiting the structure of the constraints in the ILP approach to the scheduling problem

    S. Chaudhuri;R.A. Walker;J.E. Mitchell

  • Solving Linear Ordering Problems with a Combined Interior Point/Simplex Cutting Plane Algorithm

    John E. Mitchell;Brian Borchers

  • Computational Experience with an Interior Point Cutting Plane Algorithm

    John E. Mitchell

  • Solving combinatorial optimization problems using Karmakar's algorithm

    John E. Mitchell;Michael J. Todd

  • Solving Real-World Linear Ordering Problems Using a Primal-Dual Interior Point Cutting Plane Method

    John E. Mitchell;Brian Borchers

  • Identification and Classification of Restoration Interdependencies in the Wake of Hurricane Sandy

    Thomas C. Sharkey;Sarah G. Nurre;Huy Nguyen;Joe H. Chow

  • Proximity Queries Between Convex Objects: An Interior Point Approach for Implicit Surfaces

    N. Chakraborty;Jufeng Peng;S. Akella;J.E. Mitchell

  • On linear programs with linear complementarity constraints

    Jing Hu;John E. Mitchell;Jong-Shi Pang;Bin Yu

  • Nonlinear effects of teaching and consulting on academic research productivity

    John E. Mitchell;Douglas S. Rebne

  • Branch-and-price-and-cut on the clique partitioning problem with minimum clique size requirement

    Xiaoyun Ji;John E. Mitchell

  • On convex quadratic programs with linear complementarity constraints

    Lijie Bai;John E. Mitchell;Jong-Shi Pang

  • Polynomial interior point cutting plane methods

    John E. Mitchell

  • Complementarity Formulations of ' 0 -norm Optimization Problems

    Mingbin Feng;John E. Mitchell;Jong-Shi Pang;Xin Shen

Frequent Co-Authors

Jong-Shi Pang
Jong-Shi Pang University of Southern California
William A. Wallace
William A. Wallace Rensselaer Polytechnic Institute
Michael J. Todd
Michael J. Todd Cornell University
José Holguín-Veras
José Holguín-Veras Rensselaer Polytechnic Institute
Nilanjan Chakraborty
Nilanjan Chakraborty Stony Brook University
Malik Magdon-Ismail
Malik Magdon-Ismail Rensselaer Polytechnic Institute
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Panos M. Pardalos
Panos M. Pardalos University of Florida
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Joe H. Chow
Joe H. Chow Rensselaer Polytechnic Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open up diverse career opportunities. Programs like the 1 year dba program online offer a fast track to advanced business administration skills, complementing analytical math expertise.

Those interested in finance might consider the cheapest masters in finance. This affordable pathway equips students with financial modeling and quantitative analysis tools essential for careers in banking, investment, and risk management.

For aspiring business leaders, the fastest online mba programs provide an accelerated curriculum that builds managerial and strategic thinking capabilities, often blending mathematical problem-solving with leadership skills.

Additionally, a masters in digital marketing can appeal to math graduates interested in data-driven marketing strategies. This degree emphasizes analytics and technology to optimize marketing campaigns and business growth.

Combining mathematical knowledge with these specialized online degrees can lead to versatile career pathways across industries, making further education a valuable investment.

Best Scientists Citing John E. Mitchell

Trending Scientists

Recently Published Articles