What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Programming language
- Operating system
Maria Gini mostly deals with Robot, Mobile robot, Real-time computing, Artificial intelligence and Robot control.
Maria Gini works in the field of Robot, namely Motion planning.
Her Mobile robot research is multidisciplinary, incorporating elements of Distributed computing, Automatic control, Embedded system, Software architecture and Robotic systems.
The Real-time computing study which covers Common value auction that intersects with Routing, Resource management, Task and Bidding.
The various areas that Maria Gini examines in her Artificial intelligence study include Scheduling, Theoretical computer science, Vehicle routing problem and Computer vision.
Her Robot control research includes themes of Intelligent decision support system, Real-time Control System, Control engineering and Motion control.
Her most cited work include:
- Partitioning-based clustering for Web document categorization (236 citations)
- WebACE: a Web agent for document categorization and exploration (187 citations)
- Magma an agent based virtual market for electronic commerce (178 citations)
What are the main themes of her work throughout her whole career to date?
Maria Gini focuses on Artificial intelligence, Robot, Mobile robot, Task and Supply chain management.
Maria Gini has included themes like Machine learning and Computer vision in her Artificial intelligence study.
In her research on the topic of Robot, Common value auction is strongly related with Real-time computing.
Mobile robot is represented through her Robot control, Social robot and Mobile robot navigation research.
Her study of Personal robot is a part of Robot control.
Her Supply chain management research is multidisciplinary, incorporating perspectives in Procurement and Competition, Microeconomics, Dynamic pricing.
She most often published in these fields:
- Artificial intelligence (32.49%)
- Robot (31.93%)
- Mobile robot (14.29%)
What were the highlights of her more recent work (between 2013-2021)?
- Artificial intelligence (32.49%)
- Robot (31.93%)
- Distributed computing (9.24%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Artificial intelligence, Robot, Distributed computing, Variety and Mathematical optimization.
Her primary area of study in Artificial intelligence is in the field of Robotics.
Her Robot research includes elements of Swarm behaviour, Set, Task, Common value auction and Scheduling.
Her Distributed computing research incorporates themes from Bounded function, Duration and Knowledge management.
Her Variety study also includes
- Mobile robot most often made with reference to Motion,
- Space that connect with fields like Set and Scalability.
Her research integrates issues of Routing and Search engine in her study of Mathematical optimization.
Between 2013 and 2021, her most popular works were:
- A taxonomy for task allocation problems with temporal and ordering constraints (78 citations)
- Multi-robot auctions for allocation of tasks with temporal constraints (44 citations)
- Exploiting Spatial Locality and Heterogeneity of Agents for Search and Rescue Teamwork (27 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Operating system
Her primary scientific interests are in Robot, Artificial intelligence, Distributed computing, Real-time computing and Variety.
Her biological study spans a wide range of topics, including Scheduling, Common value auction and Mathematical optimization.
In her work, Job shop scheduling, Pairwise comparison and Robotics is strongly intertwined with Iterated function, which is a subfield of Scheduling.
In Mathematical optimization, she works on issues like Task, which are connected to Heuristics, Monte Carlo tree search and Branch and bound.
Maria Gini has included themes like Machine learning, Game theory, Aggregate and Plan in her Artificial intelligence study.
Her Variety research is multidisciplinary, incorporating perspectives in Motion, Adaptive learning and Space.
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