D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 3,247 102 World Ranking 6119 National Ranking 260

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mathematical analysis
  • Artificial intelligence

His main research concerns Biological system, Motility, Cell biology, Leading edge and Statistical physics. Matthew J. Simpson has included themes like Function, Logistic function, Thermal diffusivity and Moment in his Biological system study. Matthew J. Simpson works mostly in the field of Function, limiting it down to topics relating to Degree and, in certain cases, Econometrics, as a part of the same area of interest.

The Motility study combines topics in areas such as Process, Cell migration, Computational biology and Neural crest. His Leading edge research includes elements of Simulation, Edge detection and Sensitivity. The study incorporates disciplines such as Mathematical optimization, Lattice and Random walk in addition to Statistical physics.

His most cited work include:

  • The role of cellular reactive oxygen species in cancer chemotherapy (179 citations)
  • Cell proliferation drives neural crest cell invasion of the intestine. (162 citations)
  • Does sea-level rise have an impact on saltwater intrusion? (142 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Statistical physics, Biological system, Partial differential equation, Mathematical model and Lattice. His Statistical physics study combines topics from a wide range of disciplines, such as Stochastic modelling, Continuum, Stochastic process, Crowding and Random walk. Matthew J. Simpson usually deals with Biological system and limits it to topics linked to Cell migration and Cell biology.

Matthew J. Simpson has researched Partial differential equation in several fields, including Range, Initial value problem, Reaction–diffusion system and Ordinary differential equation. Matthew J. Simpson frequently studies issues relating to Nonlinear system and Lattice. His Mathematical analysis study incorporates themes from Boundary, Work and Phase plane.

He most often published in these fields:

  • Statistical physics (25.81%)
  • Biological system (23.75%)
  • Partial differential equation (19.94%)

What were the highlights of his more recent work (between 2019-2021)?

  • Biological system (23.75%)
  • Mathematical analysis (11.73%)
  • Partial differential equation (19.94%)

In recent papers he was focusing on the following fields of study:

Matthew J. Simpson mainly investigates Biological system, Mathematical analysis, Partial differential equation, Mathematical model and Boundary. In his study, Matthew J. Simpson carries out multidisciplinary Biological system and Noise research. The study incorporates disciplines such as Experimental data, Reaction–diffusion system, Curvature, Artificial intelligence and Nonlinear system in addition to Partial differential equation.

His research integrates issues of Heavy traffic approximation and Lattice in his study of Reaction–diffusion system. His research in Mathematical model intersects with topics in Stochastic modelling, Stochastic process, Thermal diffusivity, Identifiability and Statistical physics. Matthew J. Simpson combines Statistical physics and Spatial structure in his research.

Between 2019 and 2021, his most popular works were:

  • A sharp-front moving boundary model for malignant invasion (14 citations)
  • Practical parameter identifiability for spatio-temporal models of cell invasion. (14 citations)
  • Examining go-or-grow using fluorescent cell-cycle indicators and cell-cycle-inhibiting drugs (12 citations)

In his most recent research, the most cited papers focused on:

  • Mathematical analysis
  • Statistics
  • Artificial intelligence

His primary areas of study are Mathematical analysis, Boundary problem, Traveling wave, Partial differential equation and Biological system. The concepts of his Mathematical analysis study are interwoven with issues in Boundary and Phase plane. His work investigates the relationship between Boundary problem and topics such as Reaction–diffusion system that intersect with problems in Identifiability, Temporal models, Fluorescent cell and Cell cycle.

His Traveling wave study integrates concerns from other disciplines, such as Function and Thermal diffusivity. His Partial differential equation research includes themes of Dynamical systems theory and Artificial neural network, Supervised learning, Perceptron, Artificial intelligence. Matthew J. Simpson performs integrative Biological system and Noise research in his work.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Does sea-level rise have an impact on saltwater intrusion?

Sun Woo Chang;T. Prabhakar Clement;Matthew J. Simpson;Kang-Kun Lee.
Advances in Water Resources (2011)

212 Citations

The role of cellular reactive oxygen species in cancer chemotherapy

Haotian Yang;Rehan M Villani;Haolu Wang;Matthew J Simpson.
Journal of Experimental & Clinical Cancer Research (2018)

211 Citations

Cell proliferation drives neural crest cell invasion of the intestine.

Matthew J. Simpson;Dong C. Zhang;Michael Mariani;Kerry A. Landman.
Developmental Biology (2007)

191 Citations

Theoretical analysis of the worthiness of Henry and Elder problems as benchmarks of density-dependent groundwater flow models

M.J. Simpson;T.P. Clement;T.P. Clement.
Advances in Water Resources (2003)

189 Citations

Multi-species simple exclusion processes

Matthew J. Simpson;Kerry A. Landman;Barry D. Hughes.
Physica A-statistical Mechanics and Its Applications (2009)

153 Citations

Improving the worthiness of the Henry problem as a benchmark for density-dependent groundwater flow models

Matthew J. Simpson;T. Prabhakar Clement.
Water Resources Research (2004)

146 Citations

Simulating invasion with cellular automata: connecting cell-scale and population-scale properties.

Matthew J. Simpson;Alistair Merrifield;Kerry A. Landman;Barry D. Hughes.
Physical Review E (2007)

132 Citations

Correcting mean-field approximations for birth-death-movement processes.

Ruth E. Baker;Matthew J. Simpson.
Physical Review E (2010)

119 Citations

Cell invasion with proliferation mechanisms motivated by time-lapse data

Matthew J. Simpson;Kerry A. Landman;Barry D. Hughes.
Physica A-statistical Mechanics and Its Applications (2010)

113 Citations

Quantifying the roles of cell motility and cell proliferation in a circular barrier assay

Matthew J. Simpson;Katrina K. Treloar;Benjamin J. Binder;Parvathi Haridas.
Journal of the Royal Society Interface (2013)

106 Citations

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