What is she best known for?
The fields of study she is best known for:
- Operating system
- Algorithm
- Artificial intelligence
Sivan Toledo mostly deals with Algorithm, Parallel computing, Linear algebra, Numerical linear algebra and Multiplication.
Her Algorithm research incorporates themes from Cuthill–McKee algorithm and Upper and lower bounds.
Her work deals with themes such as Matrix multiplication and Arithmetic, which intersect with Upper and lower bounds.
Her studies in Linear algebra integrate themes in fields like Numerical analysis, Out-of-core algorithm, QR decomposition, Least squares and Solver.
Her Numerical linear algebra study incorporates themes from Multithreading, Moore–Penrose pseudoinverse, Multigrid method, Parallelism and Key.
In her work, Cache is strongly intertwined with Sparse matrix, which is a subfield of Multiplication.
Her most cited work include:
- Algorithms and data structures for flash memories (737 citations)
- VTrack: accurate, energy-aware road traffic delay estimation using mobile phones (673 citations)
- Communication lower bounds for distributed-memory matrix multiplication (213 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Algorithm, Matrix, Combinatorics, Parallel computing and Sparse matrix.
Sivan Toledo focuses mostly in the field of Algorithm, narrowing it down to topics relating to LU decomposition and, in certain cases, Incomplete LU factorization.
She combines subjects such as Basis, Orthonormal basis, Singular value decomposition and Applied mathematics with her study of Matrix.
Her work investigates the relationship between Combinatorics and topics such as Diagonally dominant matrix that intersect with problems in Preconditioner.
Her study in Parallel computing is interdisciplinary in nature, drawing from both Minimum degree algorithm, Solver and Matrix multiplication.
Her Sparse matrix research includes elements of Theoretical computer science, Factorization, Sparse approximation, Multiplication and Cholesky decomposition.
She most often published in these fields:
- Algorithm (26.22%)
- Matrix (17.07%)
- Combinatorics (15.85%)
What were the highlights of her more recent work (between 2017-2021)?
- Throughput (3.66%)
- Tracking system (4.27%)
- Transmitter (3.05%)
In recent papers she was focusing on the following fields of study:
Sivan Toledo spends much of her time researching Throughput, Tracking system, Transmitter, Real-time computing and Time of arrival.
Her studies deal with areas such as Foraging and Global Positioning System as well as Tracking system.
Her Global Positioning System research is multidisciplinary, incorporating elements of Bandwidth and Chip.
In her work, Sivan Toledo performs multidisciplinary research in Transmitter and Signal processing.
Her Tracking research is multidisciplinary, relying on both Scale, Data mining and Atlas.
Her work carried out in the field of Base station brings together such families of science as Physical layer, Transmission, Communications protocol and Protocol.
Between 2017 and 2021, her most popular works were:
- Cognitive map-based navigation in wild bats revealed by a new high-throughput tracking system. (20 citations)
- Movement ecology and sex are linked to barn owl microbial community composition. (9 citations)
- Physical-Layer Protocols for Lightweight Wildlife Tags with Internet-of-Things Transceivers (5 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Algorithm
- Artificial intelligence
Tracking system, Throughput, Global Positioning System, Ecology and Track analysis are her primary areas of study.
Her Tracking system research spans across into fields like Signal processing and Transmitter.
Along with Throughput, other disciplines of study including Atlas, Sampling, Tracking and Scale are integrated into her research.
Her Global Positioning System study integrates concerns from other disciplines, such as Real-time computing, Bandwidth and Chip.
Her study in the field of Habitat is also linked to topics like Cognitive psychology, Spatial analysis and Orientation.
She integrates several fields in her works, including Track analysis, Random search, Cognitive map, Forage and Foraging.
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.
