World's Best Scientists 2026 revealed!
Massimo Paolucci

Massimo Paolucci

D-Index & Metrics

Computer Science

D-Index
48
Citations
20184
World Ranking
6008
National Ranking
84

Overview

Massimo Paolucci is affiliated with NTT in Japan and has an extensive publication record in the field of engineering, with a focus on industrial and manufacturing engineering. Their research spans multiple subfields including automotive engineering, electrical and electronic engineering, computer networks and communications, and information systems.

The scientist's work covers several main topics, such as:

  • Advanced Manufacturing and Logistics Optimization
  • Vehicle Routing Optimization Methods
  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Scheduling and Optimization Algorithms
  • Manufacturing Process and Optimization
  • Cloud Computing and Resource Management

Massimo Paolucci has frequently published in a range of academic venues, including:

  • European Journal of Operational Research
  • Soft Computing
  • Energies
  • Computers & Operations Research
  • IEEE Transactions on Vehicular Technology

Some of their recent published papers include:

  • "A bi-objective heuristic approach for green identical parallel machine scheduling" (2020), European Journal of Operational Research
  • "Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters" (2020), Soft Computing
  • "Optimal Charging and Routing of Electric Vehicles With Power Constraints and Time-of-Use Energy Prices" (2020), IEEE Transactions on Vehicular Technology
  • "A matheuristic for the electric vehicle routing problem with time windows and a realistic energy consumption model" (2023), Computers & Operations Research
  • "Towards the Integration of Sustainable Transportation and Smart Grids: A Review on Electric Vehicles' Management" (2022), Energies

Frequent collaborators in Paolucci's research include:

  • Roberto Ronco
  • Michela Robba
  • Mauro Gaggero
  • Giulio Ferro
  • R. Minciardi

Best Publications

  • Semantic Matching of Web Services Capabilities

    Massimo Paolucci;Takahiro Kawamura;Terry R. Payne;Katia P. Sycara

  • DAML-S: semantic markup for web services

    Anupriya Ankolekar;Mark Burstein;Jerry R. Hobbs;Ora Lassila

  • DAML-S: Web Service Description for the Semantic Web

    Mark H. Burstein;Jerry R. Hobbs;Ora Lassila;David Martin

  • Bringing semantics to web services: the OWL-S approach

    David Martin;Massimo Paolucci;Sheila McIlraith;Mark Burstein

  • Automated discovery, interaction and composition of Semantic Web services

    Katia P. Sycara;Massimo Paolucci;Anupriya Ankolekar;Naveen Srinivasan

  • Bringing Semantics to Web Services with OWL-S

    David Martin;Mark Burstein;Drew Mcdermott;Sheila Mcilraith

  • An algebraic approach to IP traceback

    Drew Dean;Matt Franklin;Adam Stubblefield

  • Importing the Semantic Web in UDDI

    Massimo Paolucci;Takahiro Kawamura;Takahiro Kawamura;Terry R. Payne;Katia P. Sycara

  • The RETSINA MAS Infrastructure

    Katia Sycara;Massimo Paolucci;Martin Van Velsen;Joseph Giampapa

  • DAML-S: A Semantic Markup Language For Web Services

    Anupriya Ankolenkar;Mark Burstein;Jerry Hobbs;Ora Lassila

  • The Semantic Web - ISWC 2008

    Amit P. Sheth;Steffen Staab;Michael Dean;Massimo Paolucci

  • Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops

    A.A.G. Bruzzone;D. Anghinolfi;M. Paolucci;F. Tonelli

  • Authorization and privacy for semantic Web services

    L. Kagal;T. Finin;M. Paolucci;Navcen Srinivasan

  • Perci: Pervasive Service Interaction with the Internet of Things

    G. Broll;E. Rukzio;M. Paolucci;M. Wagner

  • A semantic Web services architecture

    M. Burstein;C. Bussler;T. Finin;M.N. Huhns

  • Security for DAML web services: annotation and matchmaking

    Grit Denker;Lalana Kagal;Tim Finin;Massimo Paolucci

  • Adding OWL-S to UDDI, implementation and throughput

    Naveen Srinivasan;Massimo Paolucci;Katia Sycara

  • Autonomous Semantic Web services

    M. Paolucci;K. Sycara

  • An efficient algorithm for OWL-S based semantic search in UDDI

    Naveen Srinivasan;Massimo Paolucci;Katia Sycara

  • Dynamic discovery and coordination of agent-based semantic Web services

    K. Sycara;M. Paolucci;J. Soudry;Naveen Srinivasan

Frequent Co-Authors

Katia Sycara
Katia Sycara Carnegie Mellon University
Enrico Rukzio
Enrico Rukzio University of Ulm
Terry R. Payne
Terry R. Payne University of Liverpool
Tim Finin
Tim Finin University of Maryland, Baltimore County
Sheila A. McIlraith
Sheila A. McIlraith University of Toronto
Marco Pistore
Marco Pistore Fondazione Bruno Kessler
Gordon S. Blair
Gordon S. Blair Lancaster University
Valérie Issarny
Valérie Issarny French Institute for Research in Computer Science and Automation - INRIA
Onn Shehory
Onn Shehory Bar-Ilan University

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

Exploring Computer Science can lead to diverse online degrees and rewarding careers in STEM fields. Many students now consider options such as an environmental engineering degree online, which combines technology and sustainability for solving real-world challenges. These flexible programs allow students to balance work or other commitments while earning their degree remotely.

Cost is a major consideration. The mechanical engineering cost of education varies widely, but online programs can often offer more affordable pathways than traditional, on-campus degrees. Comparing tuition, fees, and possible financial aid options is crucial for prospective students.

Many wonder, can you get a physics degree online? Advances in digital learning have made this possible, especially for highly theoretical courses, although laboratory requirements may require special arrangements.

For those interested in data-driven careers, the data science learning path is an excellent choice. Online degrees in data science equip graduates with skills highly valued in today’s job market, including programming, analytics, and machine learning.

Best Scientists Citing Massimo Paolucci

Trending Scientists

Recently Published Articles