D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Computer Science D-index 35 Citations 8,603 277 World Ranking 7419 National Ranking 203

Overview

What is she best known for?

The fields of study Michele Marchesi is best known for:

  • Simulated annealing
  • Magnetic field
  • Algorithm

In the subject of Pathology, Michele Marchesi integrates adjacent academic fields such as Calcification, Lesion, Soft tissue and Fibrous cap. She conducted interdisciplinary study in her works that combined Lesion and Pathology. Her research is interdisciplinary, bridging the disciplines of Radiology and Soft tissue. Her work on Radiology is being expanded to include thematically relevant topics such as Calcification. Her Geometry study frequently involves adjacent topics like Simplex and Point (geometry). She integrates Point (geometry) with Geometry in her research. Her research brings together the fields of Object (grammar) and Artificial intelligence. She regularly links together related areas like Process (computing) in her Programming language studies. Many of her studies on Process (computing) apply to Programming language as well.

Her most cited work include:

  • Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here (1454 citations)
  • A hybrid genetic-neural architecture for stock indexes forecasting (259 citations)
  • Applications of simulated annealing for the design of special digital filters (139 citations)

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

Her study brings together the fields of Insulin and Internal medicine. Her research on Insulin often connects related areas such as Endocrinology. Michele Marchesi applies her multidisciplinary studies on Endocrinology and Internal medicine in her research. Her Quantum mechanics study frequently draws connections between related disciplines such as Fluxgate compass. As part of her studies on Fluxgate compass, Michele Marchesi frequently links adjacent subjects like Quantum mechanics. Michele Marchesi brings together Artificial intelligence and Artificial neural network to produce work in her papers. Michele Marchesi connects Artificial neural network with Artificial intelligence in her research. Her multidisciplinary approach integrates Algorithm and Mathematical optimization in her work. She performs multidisciplinary study in Mathematical optimization and Simulated annealing in her work.

Michele Marchesi most often published in these fields:

  • Internal medicine (26.83%)
  • Quantum mechanics (26.83%)
  • Artificial intelligence (19.51%)

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

Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here

A. Corana;M. Marchesi;C. Martini;S. Ridella.
ACM Transactions on Mathematical Software (1987)

2170 Citations

Scaling and criticality in a stochastic multi-agent model of a financial market

Thomas Lux;Michele Marchesi.
Nature (1999)

1943 Citations

VOLATILITY CLUSTERING IN FINANCIAL MARKETS: A MICROSIMULATION OF INTERACTING AGENTS

Thomas Lux;Michele Marchesi.
International Journal of Theoretical and Applied Finance (2000)

978 Citations

A hybrid genetic-neural architecture for stock indexes forecasting

G. Armano;M. Marchesi;A. Murru.
Information Sciences (2005)

392 Citations

Agent-based simulation of a financial market

Marco Raberto;Silvano Cincotti;Sergio M. Focardi;Michele Marchesi.
Physica A-statistical Mechanics and Its Applications (2001)

357 Citations

Power-Laws in a Large Object-Oriented Software System

Giulio Concas;Michele Marchesi;Sandro Pinna;Nicola Serra.
IEEE Transactions on Software Engineering (2007)

314 Citations

Blockchain-oriented software engineering: challenges and new directions

Simone Porru;Andrea Pinna;Michele Marchesi;Roberto Tonelli.
international conference on software engineering (2017)

289 Citations

Banking on Blockchain: Costs Savings Thanks to the Blockchain Technology

Luisanna Cocco;Andrea Pinna;Michele Marchesi.
Future Internet (2017)

244 Citations

OOA metrics for the Unified Modeling Language

M. Marchesi.
conference on software maintenance and reengineering (1998)

224 Citations

Applications of simulated annealing for the design of special digital filters

N. Benvenuto;M. Marchesi;A. Uncini.
IEEE Transactions on Signal Processing (1992)

210 Citations

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