What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Statistics
His scientific interests lie mostly in Data stream mining, Data mining, Theoretical computer science, Cluster analysis and Data stream.
The Data stream mining study combines topics in areas such as Data stream clustering, Algorithm, Approximation algorithm and Sliding window protocol.
His research in Data mining tackles topics such as Synthetic data which are related to areas like Apriori algorithm, Association rule learning and Market basket.
In general Theoretical computer science, his work in Computability is often linked to Nested word and Automata theory linking many areas of study.
His work carried out in the field of Theory of computation brings together such families of science as Model of computation and Formal language.
His Information retrieval research incorporates elements of Webgraph and Web page.
His most cited work include:
- Introduction to Automata Theory, Languages, and Computation (10835 citations)
- The PageRank Citation Ranking : Bringing Order to the Web (10452 citations)
- Randomized Algorithms (4384 citations)
What are the main themes of his work throughout his whole career to date?
Combinatorics, Discrete mathematics, Algorithm, Data mining and Theoretical computer science are his primary areas of study.
His Combinatorics and Approximation algorithm, Graph coloring, Randomized algorithm, Binary logarithm and Time complexity investigations all form part of his Combinatorics research activities.
His work carried out in the field of Randomized algorithm brings together such families of science as Upper and lower bounds and Probabilistic analysis of algorithms.
Rajeev Motwani mostly deals with Data stream mining in his studies of Data mining.
His Data stream mining research is multidisciplinary, relying on both Real-time computing and Distributed computing.
Many of his studies on Theoretical computer science involve topics that are commonly interrelated, such as Graph.
He most often published in these fields:
- Combinatorics (23.99%)
- Discrete mathematics (18.82%)
- Algorithm (17.34%)
What were the highlights of his more recent work (between 2003-2016)?
- Algorithm (17.34%)
- Data mining (15.13%)
- Theoretical computer science (15.13%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Algorithm, Data mining, Theoretical computer science, Combinatorics and Distributed computing.
His study on Approximation algorithm, Local search and Model of computation is often connected to Data element as part of broader study in Algorithm.
His study in Data mining is interdisciplinary in nature, drawing from both Tuple, Information retrieval and Outlier.
His work deals with themes such as Database and Audit, which intersect with Information retrieval.
The Theoretical computer science study combines topics in areas such as Randomized algorithm and Graph.
Rajeev Motwani interconnects Discrete mathematics, Metric space, Distribution, k-nearest neighbors algorithm and Nearest neighbor search in the investigation of issues within Combinatorics.
Between 2003 and 2016, his most popular works were:
- Approximate frequency counts over data streams (1215 citations)
- Introduction To Automata Theory, Languages And Computation, 3Rd Edition (848 citations)
- Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality (631 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Statistics
The scientist’s investigation covers issues in Data stream mining, Data mining, Algorithm, Distributed computing and Data stream management system.
His Data stream mining study frequently intersects with other fields, such as Data stream.
His Data mining research is multidisciplinary, incorporating perspectives in Construct, Sample, Ranking and Degree.
His Algorithm research integrates issues from Discrete mathematics, Production, Probability distribution and k-anonymity.
Rajeev Motwani has included themes like Server, Encryption and Service in his Distributed computing study.
His studies deal with areas such as Query plan, Real-time computing, Tuple and Focus as well as Data stream management system.
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